OdometryROS.cpp

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/*
Copyright (c) 2010-2016, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
All rights reserved.
 
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:
    * Redistributions of source code must retain the above copyright
      notice, this list of conditions and the following disclaimer.
    * Redistributions in binary form must reproduce the above copyright
      notice, this list of conditions and the following disclaimer in the
      documentation and/or other materials provided with the distribution.
    * Neither the name of the Universite de Sherbrooke nor the
      names of its contributors may be used to endorse or promote products
      derived from this software without specific prior written permission.
 
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY
DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
(INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
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ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
*/
 
#include "rtabmap_odom/OdometryROS.h"
 
#include <sensor_msgs/Image.h>
#include <sensor_msgs/image_encodings.h>
#include <sensor_msgs/PointCloud2.h>
#include <nav_msgs/Odometry.h>
 
#include <pcl_conversions/pcl_conversions.h>
 
#include <cv_bridge/cv_bridge.h>
 
#include <rtabmap/core/odometry/OdometryF2M.h>
#include <rtabmap/core/odometry/OdometryF2F.h>
#include <rtabmap/core/util3d.h>
#include <rtabmap/core/util3d_transforms.h>
#include <rtabmap/core/Memory.h>
#include <rtabmap/core/Signature.h>
#include <rtabmap/core/Compression.h>
#include "rtabmap_conversions/MsgConversion.h"
#include "rtabmap_msgs/OdomInfo.h"
#include "rtabmap/utilite/UConversion.h"
#include "rtabmap/utilite/ULogger.h"
#include "rtabmap/utilite/UStl.h"
#include "rtabmap/utilite/UFile.h"
#include "rtabmap/utilite/UMath.h"
 
#define BAD_COVARIANCE 9999
 
using namespace rtabmap;
 
namespace rtabmap_odom {
 
OdometryROS::OdometryROS(bool stereoParams, bool visParams, bool icpParams) :
        odometry_(0),
        frameId_("base_link"),
        odomFrameId_("odom"),
        groundTruthFrameId_(""),
        groundTruthBaseFrameId_(""),
        guessFrameId_(""),
        guessMinTranslation_(0.0),
        guessMinRotation_(0.0),
        guessMinTime_(0.0),
        publishTf_(true),
        waitForTransform_(true),
        waitForTransformDuration_(0.1), // 100 ms
        publishNullWhenLost_(true),
        publishCompressedSensorData_(false),
        paused_(false),
        resetCountdown_(0),
        resetCurrentCount_(0),
        stereoParams_(stereoParams),
        visParams_(visParams),
        icpParams_(icpParams),
        previousStamp_(0.0),
        expectedUpdateRate_(0.0),
        maxUpdateRate_(0.0),
        minUpdateRate_(0.0),
        compressionImgFormat_(".jpg"),
        compressionParallelized_(true),
        odomStrategy_(Parameters::defaultOdomStrategy()),
        waitIMUToinit_(false),
        imuProcessed_(false)
{
 
}
 
OdometryROS::~OdometryROS()
{
        this->join(true);
        delete odometry_;
}
 
void OdometryROS::onInit()
{
        ros::NodeHandle & nh = getNodeHandle();
        ros::NodeHandle & pnh = getPrivateNodeHandle();
 
        odomPub_ = nh.advertise<nav_msgs::Odometry>("odom", 1);
        odomInfoPub_ = nh.advertise<rtabmap_msgs::OdomInfo>("odom_info", 1);
        odomInfoLitePub_ = nh.advertise<rtabmap_msgs::OdomInfo>("odom_info_lite", 1);
        odomLocalMap_ = nh.advertise<sensor_msgs::PointCloud2>("odom_local_map", 1);
        odomLocalScanMap_ = nh.advertise<sensor_msgs::PointCloud2>("odom_local_scan_map", 1);
        odomLastFrame_ = nh.advertise<sensor_msgs::PointCloud2>("odom_last_frame", 1);
        odomRgbdImagePub_ = nh.advertise<rtabmap_msgs::RGBDImage>("odom_rgbd_image", 1);
        odomSensorDataPub_ = nh.advertise<rtabmap_msgs::SensorData>("odom_sensor_data/raw", 1);
        odomSensorDataFeaturesPub_ = nh.advertise<rtabmap_msgs::SensorData>("odom_sensor_data/features", 1);
        odomSensorDataCompressedPub_ = nh.advertise<rtabmap_msgs::SensorData>("odom_sensor_data/compressed", 1);
 
        Transform initialPose = Transform::getIdentity();
        std::string initialPoseStr;
        std::string configPath;
        pnh.param("frame_id", frameId_, frameId_);
        pnh.param("odom_frame_id", odomFrameId_, odomFrameId_);
        pnh.param("publish_tf", publishTf_, publishTf_);
        if(pnh.hasParam("tf_prefix"))
        {
                NODELET_ERROR("tf_prefix parameter has been removed, use directly odom_frame_id and frame_id parameters.");
        }
        pnh.param("wait_for_transform", waitForTransform_, waitForTransform_);
        pnh.param("wait_for_transform_duration",  waitForTransformDuration_, waitForTransformDuration_);
        pnh.param("initial_pose", initialPoseStr, initialPoseStr); // "x y z roll pitch yaw"
        pnh.param("ground_truth_frame_id", groundTruthFrameId_, groundTruthFrameId_);
        pnh.param("ground_truth_base_frame_id", groundTruthBaseFrameId_, frameId_);
        pnh.param("config_path", configPath, configPath);
        pnh.param("publish_null_when_lost", publishNullWhenLost_, publishNullWhenLost_);
        if(pnh.hasParam("guess_from_tf"))
        {
                if(!pnh.hasParam("guess_frame_id"))
                {
                        NODELET_ERROR("Parameter \"guess_from_tf\" doesn't exist anymore, it is enabled if \"guess_frame_id\" is set.");
                }
                else
                {
                        NODELET_WARN("Parameter \"guess_from_tf\" doesn't exist anymore, it is enabled if \"guess_frame_id\" is set.");
                }
        }
        pnh.param("guess_frame_id", guessFrameId_, guessFrameId_); // odometry guess frame
        pnh.param("guess_min_translation", guessMinTranslation_, guessMinTranslation_);
        pnh.param("guess_min_rotation", guessMinRotation_, guessMinRotation_);
        pnh.param("guess_min_time", guessMinTime_, guessMinTime_);
 
        pnh.param("expected_update_rate", expectedUpdateRate_, expectedUpdateRate_); // expected sensor rate
        pnh.param("max_update_rate", maxUpdateRate_, maxUpdateRate_);
        pnh.param("min_update_rate", minUpdateRate_, minUpdateRate_);
 
        pnh.param("sensor_data_compression_format", compressionImgFormat_, compressionImgFormat_);
        pnh.param("sensor_data_parallel_compression", compressionParallelized_, compressionParallelized_);
 
        pnh.param("wait_imu_to_init", waitIMUToinit_, waitIMUToinit_);
 
        int eventLevel = ULogger::kFatal;
        pnh.param("log_to_rosout_level", eventLevel, eventLevel);
        UASSERT(eventLevel >= ULogger::kDebug && eventLevel <= ULogger::kFatal);
        ULogger::setEventLevel((ULogger::Level)eventLevel);
 
        if(publishTf_ && !guessFrameId_.empty() && guessFrameId_.compare(odomFrameId_) == 0)
        {
                NODELET_WARN( "\"publish_tf\" and \"guess_frame_id\" cannot be used "
                                "at the same time if \"guess_frame_id\" and \"odom_frame_id\" "
                                "are the same frame (value=\"%s\"). \"guess_frame_id\" is disabled.", odomFrameId_.c_str());
                guessFrameId_.clear();
        }
        NODELET_INFO("Odometry: frame_id               = %s", frameId_.c_str());
        NODELET_INFO("Odometry: odom_frame_id          = %s", odomFrameId_.c_str());
        NODELET_INFO("Odometry: publish_tf             = %s", publishTf_?"true":"false");
        NODELET_INFO("Odometry: wait_for_transform     = %s", waitForTransform_?"true":"false");
        NODELET_INFO("Odometry: wait_for_transform_duration  = %f", waitForTransformDuration_);
        NODELET_INFO("Odometry: log_to_rosout_level    = %d", eventLevel);
        NODELET_INFO("Odometry: initial_pose           = %s", initialPose.prettyPrint().c_str());
        NODELET_INFO("Odometry: ground_truth_frame_id  = %s", groundTruthFrameId_.c_str());
        NODELET_INFO("Odometry: ground_truth_base_frame_id = %s", groundTruthBaseFrameId_.c_str());
        NODELET_INFO("Odometry: config_path            = %s", configPath.c_str());
        NODELET_INFO("Odometry: publish_null_when_lost = %s", publishNullWhenLost_?"true":"false");
        NODELET_INFO("Odometry: publish_compressed_sensor_data = %s", publishCompressedSensorData_?"true":"false");
        NODELET_INFO("Odometry: guess_frame_id         = %s", guessFrameId_.c_str());
        NODELET_INFO("Odometry: guess_min_translation  = %f", guessMinTranslation_);
        NODELET_INFO("Odometry: guess_min_rotation     = %f", guessMinRotation_);
        NODELET_INFO("Odometry: guess_min_time         = %f", guessMinTime_);
        NODELET_INFO("Odometry: expected_update_rate   = %f Hz", expectedUpdateRate_);
        NODELET_INFO("Odometry: max_update_rate        = %f Hz", maxUpdateRate_);
        NODELET_INFO("Odometry: min_update_rate        = %f Hz", minUpdateRate_);
        NODELET_INFO("Odometry: wait_imu_to_init       = %s", waitIMUToinit_?"true":"false");
        NODELET_INFO("Odometry: sensor_data_compression_format   = %s", compressionImgFormat_.c_str());
        NODELET_INFO("Odometry: sensor_data_parallel_compression = %s", compressionParallelized_?"true":"false");
 
        configPath = uReplaceChar(configPath, '~', UDirectory::homeDir());
        if(configPath.size() && configPath.at(0) != '/')
        {
                configPath = UDirectory::currentDir(true) + configPath;
        }
 
        if(initialPoseStr.size())
        {
                std::vector<std::string> values = uListToVector(uSplit(initialPoseStr, ' '));
                if(values.size() == 6)
                {
                        initialPose = Transform(
                                        uStr2Float(values[0]), uStr2Float(values[1]), uStr2Float(values[2]),
                                        uStr2Float(values[3]), uStr2Float(values[4]), uStr2Float(values[5]));
                }
                else
                {
                        NODELET_ERROR( "Wrong initial_pose format: %s (should be \"x y z roll pitch yaw\" with angle in radians). "
                                          "Identity will be used...", initialPoseStr.c_str());
                }
        }
 
 
        //parameters
        ROS_INFO("Odometry: stereoParams_=%d visParams_=%d icpParams_=%d", stereoParams_?1:0, visParams_?1:0, icpParams_?1:0);
        parameters_ = Parameters::getDefaultOdometryParameters(stereoParams_, visParams_, icpParams_);
        if(icpParams_)
        {
                if(!visParams_)
                {
                        uInsert(parameters_, ParametersPair(Parameters::kRegStrategy(), "1"));
                }
                else
                {
                        uInsert(parameters_, ParametersPair(Parameters::kRegStrategy(), "2"));
                }
        }
        parameters_.insert(*Parameters::getDefaultParameters().find(Parameters::kRtabmapImagesAlreadyRectified()));
        if(!configPath.empty())
        {
                if(UFile::exists(configPath.c_str()))
                {
                        NODELET_INFO( "Odometry: Loading parameters from %s", configPath.c_str());
                        rtabmap::ParametersMap allParameters;
                        Parameters::readINI(configPath.c_str(), allParameters);
                        // only update odometry parameters
                        for(ParametersMap::iterator iter=parameters_.begin(); iter!=parameters_.end(); ++iter)
                        {
                                ParametersMap::iterator jter = allParameters.find(iter->first);
                                if(jter!=allParameters.end())
                                {
                                        iter->second = jter->second;
                                }
                        }
                }
                else
                {
                        NODELET_ERROR( "Config file \"%s\" not found!", configPath.c_str());
                }
        }
        for(rtabmap::ParametersMap::iterator iter=parameters_.begin(); iter!=parameters_.end(); ++iter)
        {
                std::string vStr;
                bool vBool;
                int vInt;
                double vDouble;
                if(pnh.getParam(iter->first, vStr))
                {
                        NODELET_INFO( "Setting odometry parameter \"%s\"=\"%s\"", iter->first.c_str(), vStr.c_str());
                        iter->second = vStr;
                }
                else if(pnh.getParam(iter->first, vBool))
                {
                        NODELET_INFO( "Setting odometry parameter \"%s\"=\"%s\"", iter->first.c_str(), uBool2Str(vBool).c_str());
                        iter->second = uBool2Str(vBool);
                }
                else if(pnh.getParam(iter->first, vDouble))
                {
                        NODELET_INFO( "Setting odometry parameter \"%s\"=\"%s\"", iter->first.c_str(), uNumber2Str(vDouble, 6).c_str());
                        iter->second = uNumber2Str(vDouble, 6);
                }
                else if(pnh.getParam(iter->first, vInt))
                {
                        NODELET_INFO( "Setting odometry parameter \"%s\"=\"%s\"", iter->first.c_str(), uNumber2Str(vInt).c_str());
                        iter->second = uNumber2Str(vInt);
                }
 
                if(iter->first.compare(Parameters::kVisMinInliers()) == 0 && atoi(iter->second.c_str()) < 8)
                {
                        NODELET_WARN( "Parameter min_inliers must be >= 8, setting to 8...");
                        iter->second = uNumber2Str(8);
                }
        }
 
        std::vector<std::string> argList = getMyArgv();
        char ** argv = new char*[argList.size()];
        for(unsigned int i=0; i<argList.size(); ++i)
        {
                argv[i] = &argList[i].at(0);
        }
 
        rtabmap::ParametersMap parameters = rtabmap::Parameters::parseArguments(argList.size(), argv);
        delete [] argv;
        for(rtabmap::ParametersMap::iterator iter=parameters.begin(); iter!=parameters.end(); ++iter)
        {
                rtabmap::ParametersMap::iterator jter = parameters_.find(iter->first);
                if(jter!=parameters_.end())
                {
                        NODELET_INFO( "Update odometry parameter \"%s\"=\"%s\" from arguments", iter->first.c_str(), iter->second.c_str());
                        jter->second = iter->second;
                }
                else
                {
                        NODELET_INFO( "Odometry: Ignored parameter \"%s\"=\"%s\" from arguments", iter->first.c_str(), iter->second.c_str());
                }
        }
 
        // Backward compatibility
        for(std::map<std::string, std::pair<bool, std::string> >::const_iterator iter=Parameters::getRemovedParameters().begin();
                iter!=Parameters::getRemovedParameters().end();
                ++iter)
        {
                std::string vStr;
                if(pnh.getParam(iter->first, vStr))
                {
                        if(!iter->second.second.empty() && parameters_.find(iter->second.second)!=parameters_.end())
                        {
                                NODELET_WARN("Rtabmap: Parameter name changed: \"%s\" -> \"%s\". The new parameter is already used with value \"%s\", ignoring the old one with value \"%s\".",
                                                iter->first.c_str(), iter->second.second.c_str(), parameters_.find(iter->second.second)->second.c_str(), vStr.c_str());
                        }
                        else if(iter->second.first && parameters_.find(iter->second.second) != parameters_.end())
                        {
                                // can be migrated
                                parameters_.at(iter->second.second)= vStr;
                                NODELET_WARN( "Odometry: Parameter name changed: \"%s\" -> \"%s\". Please update your launch file accordingly. Value \"%s\" is still set to the new parameter name.",
                                                iter->first.c_str(), iter->second.second.c_str(), vStr.c_str());
                        }
                        else
                        {
                                if(iter->second.second.empty())
                                {
                                        NODELET_ERROR( "Odometry: Parameter \"%s\" doesn't exist anymore!",
                                                        iter->first.c_str());
                                }
                                else
                                {
                                        NODELET_ERROR( "Odometry: Parameter \"%s\" doesn't exist anymore! You may look at this similar parameter: \"%s\"",
                                                        iter->first.c_str(), iter->second.second.c_str());
                                }
                        }
                }
        }
 
        // set private parameters
        for(ParametersMap::iterator iter=parameters_.begin(); iter!=parameters_.end(); ++iter)
        {
                pnh.setParam(iter->first, iter->second);
        }
 
        Parameters::parse(parameters_, Parameters::kOdomResetCountdown(), resetCountdown_);
        parameters_.at(Parameters::kOdomResetCountdown()) = "0"; // use modified reset countdown here
 
        this->updateParameters(parameters_);
 
        odometry_ = Odometry::create(parameters_);
        if(!initialPose.isIdentity())
        {
                odometry_->reset(initialPose);
        }
 
        resetSrv_ = nh.advertiseService("reset_odom", &OdometryROS::reset, this);
        resetToPoseSrv_ = nh.advertiseService("reset_odom_to_pose", &OdometryROS::resetToPose, this);
        pauseSrv_ = nh.advertiseService("pause_odom", &OdometryROS::pause, this);
        resumeSrv_ = nh.advertiseService("resume_odom", &OdometryROS::resume, this);
 
        setLogDebugSrv_ = pnh.advertiseService("log_debug", &OdometryROS::setLogDebug, this);
        setLogInfoSrv_ = pnh.advertiseService("log_info", &OdometryROS::setLogInfo, this);
        setLogWarnSrv_ = pnh.advertiseService("log_warning", &OdometryROS::setLogWarn, this);
        setLogErrorSrv_ = pnh.advertiseService("log_error", &OdometryROS::setLogError, this);
 
        odomStrategy_ = 0;
        Parameters::parse(this->parameters(), Parameters::kOdomStrategy(), odomStrategy_);
        if(waitIMUToinit_)
        {
                int queueSize = 10;
                pnh.param("queue_size", queueSize, queueSize);
                imuSub_ = nh.subscribe("imu", queueSize*5, &OdometryROS::callbackIMU, this);
                NODELET_INFO("odometry: Subscribing to IMU topic %s", imuSub_.getTopic().c_str());
        }
 
        this->start();
 
        onOdomInit();
}
 
void OdometryROS::initDiagnosticMsg(const std::string & subscribedTopicsMsg, bool approxSync, const std::string & subscribedTopic)
{
        NODELET_INFO("%s", subscribedTopicsMsg.c_str());
        syncDiagnostic_.reset(new rtabmap_sync::SyncDiagnostic(getNodeHandle(), getPrivateNodeHandle(), getName(), 0.5));
        std::vector<diagnostic_updater::DiagnosticTask*> tasks;
        tasks.push_back(&statusDiagnostic_);
        syncDiagnostic_->init(subscribedTopic,
                uFormat("%s: Did not receive data since 5 seconds! Make sure the input topics are "
                                        "published (\"$ rostopic hz my_topic\") and the timestamps in their "
                                        "header are set. %s%s",
                                        getName().c_str(),
                                        approxSync?"":"Parameter \"approx_sync\" is false, which means that input "
                                                "topics should have all the exact timestamp for the callback to be called.",
                                        subscribedTopicsMsg.c_str()),
                tasks);
}
 
rtabmap::Transform OdometryROS::velocityGuess() const
{
        if(odometry_)
        {
                return odometry_->getVelocityGuess();
        }
        return rtabmap::Transform();
}
 
void OdometryROS::callbackIMU(const sensor_msgs::ImuConstPtr& msg)
{
        if(!this->isPaused())
        {
                double stamp = msg->header.stamp.toSec();
                rtabmap::Transform localTransform = rtabmap::Transform::getIdentity();
                if(this->frameId().compare(msg->header.frame_id) != 0)
                {
                        localTransform = rtabmap_conversions::getTransform(this->frameId(), msg->header.frame_id, msg->header.stamp, this->tfListener(), this->waitForTransformDuration());
                }
                if(localTransform.isNull())
                {
                        ROS_ERROR("Could not transform IMU msg from frame \"%s\" to frame \"%s\", TF not available at time %f",
                                        msg->header.frame_id.c_str(), this->frameId().c_str(), stamp);
                        return;
                }
 
                IMU imu(cv::Vec4d(msg->orientation.x, msg->orientation.y, msg->orientation.z, msg->orientation.w),
                                cv::Mat(3,3,CV_64FC1,(void*)msg->orientation_covariance.data()).clone(),
                                cv::Vec3d(msg->angular_velocity.x, msg->angular_velocity.y, msg->angular_velocity.z),
                                cv::Mat(3,3,CV_64FC1,(void*)msg->angular_velocity_covariance.data()).clone(),
                                cv::Vec3d(msg->linear_acceleration.x, msg->linear_acceleration.y, msg->linear_acceleration.z),
                                cv::Mat(3,3,CV_64FC1,(void*)msg->linear_acceleration_covariance.data()).clone(),
                                localTransform);
 
                {
                        UScopeMutex m(imuMutex_);
 
                        imus_.insert(std::make_pair(stamp, imu));
                        if(imus_.size() > 1000)
                        {
                                NODELET_WARN("Dropping imu data!");
                                imus_.erase(imus_.begin());
                        }
                }
                if(dataMutex_.lockTry() == 0)
                {
                        if(bufferedDataToProcess_ && dataHeaderToProcess_.stamp.toSec() <= stamp)
                        {
                                bufferedDataToProcess_ = false;
                                dataReady_.release();
                        }
                        dataMutex_.unlock();
                }
        }
}
 
void OdometryROS::processData(SensorData & data, const std_msgs::Header & header)
{
        //NODELET_WARN("Received image: %f delay=%f", data.stamp(), (ros::Time::now() - header.stamp).toSec());
        if(dataMutex_.lockTry() == 0)
        {
                if(bufferedDataToProcess_) {
                        NODELET_ERROR("We didn't receive IMU newer than previous image (%f) and we just received a new image (%f). The previous image is dropped!",
                                                dataHeaderToProcess_.stamp.toSec(), header.stamp.toSec());
                }
                dataToProcess_ = data;
                dataHeaderToProcess_ = header;
                bufferedDataToProcess_ = false;
                dataReady_.release();
                dataMutex_.unlock();
        }
        else
        {
                NODELET_DEBUG("Dropping image/scan data");
        }
}
 
void OdometryROS::mainLoopKill()
{
        // in case we were waiting, unblock thread
        dataReady_.release();
}
 
void OdometryROS::mainLoop()
{
        dataReady_.acquire();
 
        if(!this->isRunning())
        {
                // thread killed
                return;
        }
 
        UScopeMutex lock(dataMutex_);
 
        // aliases
        SensorData & data = dataToProcess_;
        std_msgs::Header & header = dataHeaderToProcess_;
 
        std::vector<std::pair<double, IMU> > imus;
        {
                UScopeMutex m(imuMutex_);
 
                if((waitIMUToinit_ && !imuProcessed_) && odometry_->framesProcessed() == 0 && odometry_->getPose().isIdentity() && imus_.empty())
                {
                        NODELET_WARN("odometry: waiting imu (%s) to initialize orientation (wait_imu_to_init=true)", imuSub_.getTopic().c_str());
                        return;
                }
 
                if(waitIMUToinit_ && (imus_.empty() || imus_.rbegin()->first < header.stamp.toSec()))
                {
                        NODELET_WARN("Make sure IMU is published faster than data rate! (last image stamp=%f and last imu stamp received=%f). Buffering the image until an imu with same or greater stamp is received.",
                                        data.stamp(), imus_.empty()?0:imus_.rbegin()->first);
                        bufferedDataToProcess_ = true;
                        return;
                }
                // process all imu data up to current image stamp (or just after so that underlying odom approach can do interpolation of imu at image stamp)
                std::map<double, rtabmap::IMU>::iterator iterEnd = imus_.lower_bound(header.stamp.toSec());
                if(iterEnd!= imus_.end())
                {
                        ++iterEnd;
                }
                for(std::map<double, rtabmap::IMU>::iterator iter=imus_.begin(); iter!=iterEnd;)
                {
                        imus.push_back(*iter);
                        imus_.erase(iter++);
                }
        }
 
        for(size_t i=0; i<imus.size(); ++i)
        {
                SensorData dataIMU(imus[i].second, 0, imus[i].first);
                odometry_->process(dataIMU);
                imuProcessed_ = true;
        }
 
        //NODELET_WARN("img callback: process image %f", stamp.toSec());
 
        Transform groundTruth;
        if(!data.imageRaw().empty() || !data.laserScanRaw().isEmpty())
        {
                if(previousStamp_>0.0 && previousStamp_ >= header.stamp.toSec())
                {
                        NODELET_WARN("Odometry: Detected not valid consecutive stamps (previous=%fs new=%fs). "
                                        "New stamp should be always greater than previous stamp. This new data is ignored.",
                                        previousStamp_, header.stamp.toSec());
                        return;
                }
                else if(maxUpdateRate_ > 0 &&
                                previousStamp_ > 0 &&
                                (header.stamp.toSec()-previousStamp_+(expectedUpdateRate_ > 0?1.0/expectedUpdateRate_:0)) < 1.0/maxUpdateRate_)
                {
                        // throttling
                        return;
                }
                else if(maxUpdateRate_ == 0 &&
                                expectedUpdateRate_ > 0 &&
                            previousStamp_ > 0 &&
                            (header.stamp.toSec()-previousStamp_) < 1.0/expectedUpdateRate_)
                {
                        NODELET_WARN("Odometry: Aborting odometry update, higher frame rate detected (%f Hz) than the expected one (%f Hz). (stamps: previous=%fs new=%fs)",
                                        1.0/(header.stamp.toSec()-previousStamp_), expectedUpdateRate_, previousStamp_, header.stamp.toSec());
                        return;
                }
 
                if(!groundTruthFrameId_.empty())
                {
                        groundTruth = rtabmap_conversions::getTransform(groundTruthFrameId_, groundTruthBaseFrameId_, header.stamp, this->tfListener(), this->waitForTransformDuration());
 
                        if(!data.imageRaw().empty() || !data.laserScanRaw().isEmpty())
                        {
                                // Use only XYZ to handle the case odometry was previously initialized with IMU,
                                // we assume that the ground truth contains also a real initial orientation
                                float x,y,z;
                                odometry_->getPose().getTranslation(x, y, z);
                                if(x==0.0f && y==0.0f && z==0.0f)
                                {
                                        // sync with the first value of the ground truth
                                        if(groundTruth.isNull())
                                        {
                                                NODELET_WARN("Ground truth frames \"%s\" -> \"%s\" are set but failed to "
                                                                "get them, odometry won't be initialized with ground truth.",
                                                                groundTruthFrameId_.c_str(), groundTruthBaseFrameId_.c_str());
                                        }
                                        else
                                        {
                                                NODELET_INFO( "Initializing odometry pose to %s (from \"%s\" -> \"%s\")",
                                                                groundTruth.prettyPrint().c_str(),
                                                                groundTruthFrameId_.c_str(),
                                                                groundTruthBaseFrameId_.c_str());
                                                odometry_->reset(groundTruth);
                                        }
                                }
                        }
                }
        }
 
 
        Transform guessCurrentPose;
        if(!guessFrameId_.empty())
        {
                guessCurrentPose = rtabmap_conversions::getTransform(guessFrameId_, frameId_, header.stamp, this->tfListener(), this->waitForTransformDuration());
 
                Transform previousPose = guessPreviousPose_;
                if(guessPreviousPose_.isNull())
                {
                        previousPose = guessCurrentPose;
                        if(!guessCurrentPose.isNull() && odometry_->getPose().isIdentity())
                        {
                                ROS_INFO("Odometry: init pose with guess %s", guessCurrentPose.prettyPrint().c_str());
                                odometry_->reset(guessCurrentPose);
                        }
                }
 
                if(!previousPose.isNull() && !guessCurrentPose.isNull())
                {
                        if(guess_.isNull())
                        {
                                guess_ = previousPose.inverse() * guessCurrentPose;
                        }
                        else
                        {
                                guess_ = guess_ * previousPose.inverse() * guessCurrentPose;
                        }
                        if(!guessPreviousPose_.isNull() && (guessMinTranslation_ > 0.0 || guessMinRotation_ > 0.0))
                        {
                                float x,y,z,roll,pitch,yaw;
                                guess_.getTranslationAndEulerAngles(x,y,z,roll,pitch,yaw);
                                if((guessMinTranslation_ <= 0.0 || uMax3(fabs(x), fabs(y), fabs(z)) < guessMinTranslation_) &&
                                   (guessMinRotation_ <= 0.0 || uMax3(fabs(roll), fabs(pitch), fabs(yaw)) < guessMinRotation_) &&
                                   (guessMinTime_ <= 0.0 || (previousStamp_>0.0 && header.stamp.toSec()-previousStamp_ < guessMinTime_)))
                                {
                                        // Ignore odometry update, we didn't move enough
                                        if(publishTf_)
                                        {
                                                geometry_msgs::TransformStamped correctionMsg;
                                                correctionMsg.child_frame_id = guessFrameId_;
                                                correctionMsg.header.frame_id = odomFrameId_;
                                                correctionMsg.header.stamp = header.stamp;
                                                Transform correction = odometry_->getPose() * guess_ * guessCurrentPose.inverse();
                                                rtabmap_conversions::transformToGeometryMsg(correction, correctionMsg.transform);
                                                tfBroadcaster_.sendTransform(correctionMsg);
                                        }
                                        guessPreviousPose_ = guessCurrentPose;
                                        return;
                                }
                        }
                        guessPreviousPose_ = guessCurrentPose;
                }
                else
                {
                        NODELET_ERROR("\"guess_frame_id\" is set, but guess cannot be computed between frames \"%s\" -> \"%s\". Aborting odometry update...", guessFrameId_.c_str(), frameId_.c_str());
                        return;
                }
        }
 
        bool tooOldPreviousData = minUpdateRate_ > 0 && previousStamp_ > 0 && (header.stamp.toSec()-previousStamp_) > 1.0/minUpdateRate_;
 
        // process data
        ros::WallTime time = ros::WallTime::now();
        rtabmap::OdometryInfo info;
        if(!groundTruth.isNull())
        {
                data.setGroundTruth(groundTruth);
        }
        rtabmap::Transform pose;
        if(!tooOldPreviousData)
        {
                pose = odometry_->process(data, guess_, &info);
        }
        if(!pose.isNull())
        {
                guess_.setNull();
                resetCurrentCount_ = resetCountdown_;
 
                //*********************
                // Update odometry
                //*********************
                geometry_msgs::TransformStamped poseMsg;
                poseMsg.child_frame_id = frameId_;
                poseMsg.header.frame_id = odomFrameId_;
                poseMsg.header.stamp = header.stamp;
                rtabmap_conversions::transformToGeometryMsg(pose, poseMsg.transform);
 
                if(publishTf_)
                {
                        if(!guessFrameId_.empty())
                        {
                                //publish correction of actual odometry so we have /odom -> /odom_guess -> /base_link
                                geometry_msgs::TransformStamped correctionMsg;
                                correctionMsg.child_frame_id = guessFrameId_;
                                correctionMsg.header.frame_id = odomFrameId_;
                                correctionMsg.header.stamp = header.stamp;
                                Transform correction = pose * guessCurrentPose.inverse();
                                rtabmap_conversions::transformToGeometryMsg(correction, correctionMsg.transform);
                                tfBroadcaster_.sendTransform(correctionMsg);
                        }
                        else
                        {
                                tfBroadcaster_.sendTransform(poseMsg);
                        }
                }
 
                if(odomPub_.getNumSubscribers())
                {
                        //next, we'll publish the odometry message over ROS
                        nav_msgs::Odometry odom;
                        odom.header.stamp = header.stamp; // use corresponding time stamp to image
                        odom.header.frame_id = odomFrameId_;
                        odom.child_frame_id = frameId_;
 
                        //set the position
                        odom.pose.pose.position.x = poseMsg.transform.translation.x;
                        odom.pose.pose.position.y = poseMsg.transform.translation.y;
                        odom.pose.pose.position.z = poseMsg.transform.translation.z;
                        odom.pose.pose.orientation = poseMsg.transform.rotation;
 
                        //set covariance
                        // libviso2 uses approximately vel variance * 2
                        odom.pose.covariance.at(0) = info.reg.covariance.at<double>(0,0)*2;  // xx
                        odom.pose.covariance.at(7) = info.reg.covariance.at<double>(1,1)*2;  // yy
                        odom.pose.covariance.at(14) = info.reg.covariance.at<double>(2,2)*2; // zz
                        odom.pose.covariance.at(21) = info.reg.covariance.at<double>(3,3)*2; // rr
                        odom.pose.covariance.at(28) = info.reg.covariance.at<double>(4,4)*2; // pp
                        odom.pose.covariance.at(35) = info.reg.covariance.at<double>(5,5)*2; // yawyaw
 
                        //set velocity
                        bool setTwist = !odometry_->getVelocityGuess().isNull();
                        if(setTwist)
                        {
                                float x,y,z,roll,pitch,yaw;
                                odometry_->getVelocityGuess().getTranslationAndEulerAngles(x,y,z,roll,pitch,yaw);
                                odom.twist.twist.linear.x = x;
                                odom.twist.twist.linear.y = y;
                                odom.twist.twist.linear.z = z;
                                odom.twist.twist.angular.x = roll;
                                odom.twist.twist.angular.y = pitch;
                                odom.twist.twist.angular.z = yaw;
                        }
 
                        odom.twist.covariance.at(0) = setTwist?info.reg.covariance.at<double>(0,0):BAD_COVARIANCE;  // xx
                        odom.twist.covariance.at(7) = setTwist?info.reg.covariance.at<double>(1,1):BAD_COVARIANCE;  // yy
                        odom.twist.covariance.at(14) = setTwist?info.reg.covariance.at<double>(2,2):BAD_COVARIANCE; // zz
                        odom.twist.covariance.at(21) = setTwist?info.reg.covariance.at<double>(3,3):BAD_COVARIANCE; // rr
                        odom.twist.covariance.at(28) = setTwist?info.reg.covariance.at<double>(4,4):BAD_COVARIANCE; // pp
                        odom.twist.covariance.at(35) = setTwist?info.reg.covariance.at<double>(5,5):BAD_COVARIANCE; // yawyaw
 
                        //publish the message
                        if(setTwist || publishNullWhenLost_)
                        {
                                odomPub_.publish(odom);
                        }
                }
 
                // local map / reference frame
                if(odomLocalMap_.getNumSubscribers() && !info.localMap.empty())
                {
                        pcl::PointCloud<pcl::PointXYZRGB> cloud;
                        for(std::map<int, cv::Point3f>::const_iterator iter=info.localMap.begin(); iter!=info.localMap.end(); ++iter)
                        {
                                bool inlier = info.words.find(iter->first) != info.words.end();
                                pcl::PointXYZRGB pt;
                                pt.r = inlier?0:255;
                                pt.g = 255;
                                pt.x = iter->second.x;
                                pt.y = iter->second.y;
                                pt.z = iter->second.z;
                                cloud.push_back(pt);
                        }
                        sensor_msgs::PointCloud2 cloudMsg;
                        pcl::toROSMsg(cloud, cloudMsg);
                        cloudMsg.header.stamp = header.stamp; // use corresponding time stamp to image
                        cloudMsg.header.frame_id = odomFrameId_;
                        odomLocalMap_.publish(cloudMsg);
                }
 
                if(odomLastFrame_.getNumSubscribers())
                {
                        // check which type of Odometry is using
                        if(odometry_->getType() == Odometry::kTypeF2M) // If it's Frame to Map Odometry
                        {
                                const std::vector<cv::Point3f> & words3  = ((OdometryF2M*)odometry_)->getLastFrame().getWords3();
                                if(words3.size())
                                {
                                        pcl::PointCloud<pcl::PointXYZ> cloud;
                                        for(std::vector<cv::Point3f>::const_iterator iter=words3.begin(); iter!=words3.end(); ++iter)
                                        {
                                                // transform to odom frame
                                                cv::Point3f pt = util3d::transformPoint(*iter, pose);
                                                cloud.push_back(pcl::PointXYZ(pt.x, pt.y, pt.z));
                                        }
 
                                        sensor_msgs::PointCloud2 cloudMsg;
                                        pcl::toROSMsg(cloud, cloudMsg);
                                        cloudMsg.header.stamp = header.stamp; // use corresponding time stamp to image
                                        cloudMsg.header.frame_id = odomFrameId_;
                                        odomLastFrame_.publish(cloudMsg);
                                }
                        }
                        else if(odometry_->getType() == Odometry::kTypeF2F) // if Using Frame to Frame Odometry
                        {
                                const Signature & refFrame = ((OdometryF2F*)odometry_)->getRefFrame();
 
                                if(refFrame.getWords3().size())
                                {
                                        pcl::PointCloud<pcl::PointXYZ> cloud;
                                        for(std::vector<cv::Point3f>::const_iterator iter=refFrame.getWords3().begin(); iter!=refFrame.getWords3().end(); ++iter)
                                        {
                                                // transform to odom frame
                                                cv::Point3f pt = util3d::transformPoint(*iter, pose);
                                                cloud.push_back(pcl::PointXYZ(pt.x, pt.y, pt.z));
                                        }
                                        sensor_msgs::PointCloud2 cloudMsg;
                                        pcl::toROSMsg(cloud, cloudMsg);
                                        cloudMsg.header.stamp = header.stamp; // use corresponding time stamp to image
                                        cloudMsg.header.frame_id = odomFrameId_;
                                        odomLastFrame_.publish(cloudMsg);
                                }
                        }
                }
 
                if(odomLocalScanMap_.getNumSubscribers() && !info.localScanMap.isEmpty())
                {
                        sensor_msgs::PointCloud2 cloudMsg;
                        if(info.localScanMap.hasNormals() && info.localScanMap.hasIntensity())
                        {
                                pcl::PointCloud<pcl::PointXYZINormal>::Ptr cloud = util3d::laserScanToPointCloudINormal(info.localScanMap, info.localScanMap.localTransform());
                                pcl::toROSMsg(*cloud, cloudMsg);
                        }
                        else if(info.localScanMap.hasNormals())
                        {
                                pcl::PointCloud<pcl::PointNormal>::Ptr cloud = util3d::laserScanToPointCloudNormal(info.localScanMap, info.localScanMap.localTransform());
                                pcl::toROSMsg(*cloud, cloudMsg);
                        }
                        else if(info.localScanMap.hasIntensity())
                        {
                                pcl::PointCloud<pcl::PointXYZI>::Ptr cloud = util3d::laserScanToPointCloudI(info.localScanMap, info.localScanMap.localTransform());
                                pcl::toROSMsg(*cloud, cloudMsg);
                        }
                        else
                        {
                                pcl::PointCloud<pcl::PointXYZ>::Ptr cloud = util3d::laserScanToPointCloud(info.localScanMap, info.localScanMap.localTransform());
                                pcl::toROSMsg(*cloud, cloudMsg);
                        }
 
                        cloudMsg.header.stamp = header.stamp; // use corresponding time stamp to image
                        cloudMsg.header.frame_id = odomFrameId_;
                        odomLocalScanMap_.publish(cloudMsg);
                }
        }
        else if(data.imageRaw().empty() && data.laserScanRaw().isEmpty() && !data.imu().empty())
        {
                return;
        }
        else // pose is null / lost
        {
                if(publishNullWhenLost_)
                {
                        //NODELET_WARN( "Odometry lost!");
 
                        //send null pose to notify that odometry is lost
                        nav_msgs::Odometry odom;
                        odom.header.stamp = header.stamp; // use corresponding time stamp to image
                        odom.header.frame_id = odomFrameId_;
                        odom.child_frame_id = frameId_;
                        odom.pose.covariance.at(0) = BAD_COVARIANCE;  // xx
                        odom.pose.covariance.at(7) = BAD_COVARIANCE;  // yy
                        odom.pose.covariance.at(14) = BAD_COVARIANCE; // zz
                        odom.pose.covariance.at(21) = BAD_COVARIANCE; // rr
                        odom.pose.covariance.at(28) = BAD_COVARIANCE; // pp
                        odom.pose.covariance.at(35) = BAD_COVARIANCE; // yawyaw
                        odom.twist.covariance.at(0) = BAD_COVARIANCE;  // xx
                        odom.twist.covariance.at(7) = BAD_COVARIANCE;  // yy
                        odom.twist.covariance.at(14) = BAD_COVARIANCE; // zz
                        odom.twist.covariance.at(21) = BAD_COVARIANCE; // rr
                        odom.twist.covariance.at(28) = BAD_COVARIANCE; // pp
                        odom.twist.covariance.at(35) = BAD_COVARIANCE; // yawyaw
 
                        //publish the message
                        odomPub_.publish(odom);
                }
 
                // Publish the Tf correction using guess pose directly so that TF tree is not broken when vo is lost
                if(publishTf_ && !guess_.isNull())
                {
                        geometry_msgs::TransformStamped correctionMsg;
                        correctionMsg.child_frame_id = guessFrameId_;
                        correctionMsg.header.frame_id = odomFrameId_;
                        correctionMsg.header.stamp = header.stamp;
                        Transform correction = odometry_->getPose() * guess_ * guessCurrentPose.inverse();
                        rtabmap_conversions::transformToGeometryMsg(correction, correctionMsg.transform);
                        tfBroadcaster_.sendTransform(correctionMsg);
                }
        }
 
        if(pose.isNull() && (resetCurrentCount_ > 0 || tooOldPreviousData))
        {
                if(tooOldPreviousData)
                {
                        NODELET_WARN( "Odometry lost! Odometry will be reset because last update "
                                        "is %fs too old (>%fs, min_update_rate = %f Hz). Previous data stamp is %f while new data stamp is %f.",
                                        header.stamp.toSec() - previousStamp_, 1.0/minUpdateRate_, minUpdateRate_, previousStamp_, header.stamp.toSec());
                }
                else if(--resetCurrentCount_>0)
                {
                        NODELET_WARN( "Odometry lost! Odometry will be reset after next %d consecutive unsuccessful odometry updates...", resetCurrentCount_);
                }
 
                if(resetCurrentCount_ == 0 || tooOldPreviousData)
                {
                        if(!guess_.isNull())
                        {
                                NODELET_WARN( "Odometry automatically reset based on latest guess available from TF (%s->%s, moved %s since got lost)!",
                                                guessFrameId_.c_str(), frameId_.c_str(), guess_.prettyPrint().c_str());
                                odometry_->reset(odometry_->getPose() * guess_);
                                guess_.setNull();
                        }
                        else
                        {
                                // Check TF to see if sensor fusion is used (e.g., the output of robot_localization)
                                Transform tfPose = rtabmap_conversions::getTransform(odomFrameId_, frameId_, header.stamp, this->tfListener(), this->waitForTransformDuration());
                                if(tfPose.isNull())
                                {
                                        NODELET_WARN( "Odometry automatically reset to latest computed pose!");
                                        odometry_->reset(odometry_->getPose());
                                }
                                else
                                {
                                        NODELET_WARN( "Odometry automatically reset to latest odometry pose available from TF (%s->%s)!",
                                                        odomFrameId_.c_str(), frameId_.c_str());
                                        odometry_->reset(tfPose);
                                }
                        }
                        // Keep resetting if the odometry cannot initialize in next updates (e.g., lack of features).
                        // This will make sure we keep updating to latest guess pose.
                        if(resetCurrentCount_ == 0) {
                                ++resetCurrentCount_;
                        }
                }
        }
 
        if(odomInfoPub_.getNumSubscribers() || odomInfoLitePub_.getNumSubscribers())
        {
                rtabmap_msgs::OdomInfo infoMsg;
                rtabmap_conversions::odomInfoToROS(info, infoMsg, odomInfoPub_.getNumSubscribers()==0);
                infoMsg.header.stamp = header.stamp; // use corresponding time stamp to image
                infoMsg.header.frame_id = odomFrameId_;
                if(odomInfoPub_.getNumSubscribers()>0) {
                        odomInfoPub_.publish(infoMsg);
                }
 
                if(odomInfoLitePub_.getNumSubscribers()>0)
                {
                        infoMsg.wordInliers.clear();
                        infoMsg.wordMatches.clear();
                        infoMsg.wordsKeys.clear();
                        infoMsg.wordsValues.clear();
                        infoMsg.refCorners.clear();
                        infoMsg.newCorners.clear();
                        infoMsg.cornerInliers.clear();
                        infoMsg.localMapKeys.clear();
                        infoMsg.localMapValues.clear();
                        infoMsg.localScanMap = sensor_msgs::PointCloud2();
                        odomInfoLitePub_.publish(infoMsg);
                }
        }
 
        postProcessData(data, header);
 
        if(!data.imageRaw().empty() && odomRgbdImagePub_.getNumSubscribers())
        {
                if(!header.frame_id.empty())
                {
                        rtabmap_msgs::RGBDImage msg;
                        rtabmap_conversions::rgbdImageToROS(data, msg, header.frame_id);
                        msg.header = header; // use corresponding time stamp to image
                        odomRgbdImagePub_.publish(msg);
                }
                else
                {
                        ROS_WARN("Sensor frame not set, cannot convert SensorData to RGBDImage");
                }
        }
 
        if(odomSensorDataPub_.getNumSubscribers() || odomSensorDataFeaturesPub_.getNumSubscribers())
        {
                rtabmap_msgs::SensorData msg;
                rtabmap_conversions::sensorDataToROS(data, msg, frameId_, odomSensorDataPub_.getNumSubscribers());
                msg.header.stamp = header.stamp; // use corresponding time stamp to image
                if(odomSensorDataPub_.getNumSubscribers())
                {
                        odomSensorDataPub_.publish(msg);
                }
                if(odomSensorDataFeaturesPub_.getNumSubscribers())
                {
                        // remove data
                        msg.left = sensor_msgs::Image();
                        msg.right = sensor_msgs::Image();
                        msg.laser_scan = sensor_msgs::PointCloud2();
                        msg.grid_ground.clear();
                        msg.grid_obstacles.clear();
                        msg.grid_empty_cells.clear();
                        odomSensorDataFeaturesPub_.publish(msg);
                }
        }
        if(odomSensorDataCompressedPub_.getNumSubscribers())
        {
                cv::Mat compressedImage;
                cv::Mat compressedDepth;
                cv::Mat compressedScan;
                if(compressionParallelized_)
                {
                        rtabmap::CompressionThread ctImage(data.imageRaw(), compressionImgFormat_);
                        rtabmap::CompressionThread ctDepth(data.depthOrRightRaw(), data.depthOrRightRaw().type() == CV_32FC1 || data.depthOrRightRaw().type() == CV_16UC1?std::string(".png"):compressionImgFormat_);
                        rtabmap::CompressionThread ctLaserScan(data.laserScanRaw().data());
                        if(!data.imageRaw().empty())
                        {
                                ctImage.start();
                        }
                        if(!data.depthOrRightRaw().empty())
                        {
                                ctDepth.start();
                        }
                        if(!data.laserScanRaw().isEmpty())
                        {
                                ctLaserScan.start();
                        }
                        ctImage.join();
                        ctDepth.join();
                        ctLaserScan.join();
 
                        compressedImage = ctImage.getCompressedData();
                        compressedDepth = ctDepth.getCompressedData();
                        compressedScan = ctLaserScan.getCompressedData();
                }
                else
                {
                        compressedImage = compressImage2(data.imageRaw(), compressionImgFormat_);
                        compressedDepth = compressImage2(data.depthOrRightRaw(), data.depthOrRightRaw().type() == CV_32FC1 || data.depthOrRightRaw().type() == CV_16UC1?std::string(".png"):compressionImgFormat_);
                        compressedScan = compressData2(data.laserScanRaw().data());
                }
                if(!compressedImage.empty() && !data.stereoCameraModels().empty())
                {
                        data.setStereoImage(compressedImage, compressedDepth, data.stereoCameraModels(), false);
                }
                else if(!compressedImage.empty() && !data.cameraModels().empty())
                {
                        data.setRGBDImage(compressedImage, compressedDepth, data.cameraModels(), false);
                }
                if(!compressedScan.empty())
                {
                        data.setLaserScan(data.laserScanRaw().angleIncrement() == 0.0f?
                                                LaserScan(compressedScan,
                                                        data.laserScanRaw().maxPoints(),
                                                        data.laserScanRaw().rangeMax(),
                                                        data.laserScanRaw().format(),
                                                        data.laserScanRaw().localTransform()):
                                                LaserScan(compressedScan,
                                                        data.laserScanRaw().format(),
                                                        data.laserScanRaw().rangeMin(),
                                                        data.laserScanRaw().rangeMax(),
                                                        data.laserScanRaw().angleMin(),
                                                        data.laserScanRaw().angleMax(),
                                                        data.laserScanRaw().angleIncrement(),
                                                        data.laserScanRaw().localTransform()), false);
                }
                rtabmap_msgs::SensorData msg;
                rtabmap_conversions::sensorDataToROS(data, msg, frameId_, false);
                msg.header.stamp = header.stamp; // use corresponding time stamp to image
                odomSensorDataCompressedPub_.publish(msg);
        }
 
        double delay = (ros::Time::now() - header.stamp).toSec(); 
        if(visParams_)
        {
                if(icpParams_)
                {
                        NODELET_INFO( "Odom: quality=%d, ratio=%f, std dev=%fm|%frad, update time=%fs, delay=%fs", info.reg.inliers, info.reg.icpInliersRatio, pose.isNull()?0.0f:std::sqrt(info.reg.covariance.at<double>(0,0)), pose.isNull()?0.0f:std::sqrt(info.reg.covariance.at<double>(5,5)), (ros::WallTime::now()-time).toSec(), delay);
                }
                else
                {
                        NODELET_INFO( "Odom: quality=%d, std dev=%fm|%frad, update time=%fs, delay=%fs", info.reg.inliers, pose.isNull()?0.0f:std::sqrt(info.reg.covariance.at<double>(0,0)), pose.isNull()?0.0f:std::sqrt(info.reg.covariance.at<double>(5,5)), (ros::WallTime::now()-time).toSec(), delay);
                }
        }
        else // if(icpParams_)
        {
                NODELET_INFO( "Odom: ratio=%f, std dev=%fm|%frad, update time=%fs, delay=%fs", info.reg.icpInliersRatio, pose.isNull()?0.0f:std::sqrt(info.reg.covariance.at<double>(0,0)), pose.isNull()?0.0f:std::sqrt(info.reg.covariance.at<double>(5,5)), (ros::WallTime::now()-time).toSec(), delay);
        }
 
        statusDiagnostic_.setStatus(pose.isNull());
        if(syncDiagnostic_.get())
        {
                double curentRate = 1.0/(ros::WallTime::now()-time).toSec();
                syncDiagnostic_->tick(header.stamp,
                        maxUpdateRate_>0 ? maxUpdateRate_:
                        expectedUpdateRate_>0 && expectedUpdateRate_ < curentRate ? expectedUpdateRate_:
                        previousStamp_ == 0.0 || header.stamp.toSec() - previousStamp_ > 1.0/curentRate?0:curentRate);
        }
 
        previousStamp_ = header.stamp.toSec();
}
 
bool OdometryROS::reset(std_srvs::Empty::Request&, std_srvs::Empty::Response&)
{
        NODELET_INFO( "visual_odometry: reset odom!");
        reset();
        return true;
}
 
bool OdometryROS::resetToPose(rtabmap_msgs::ResetPose::Request& req, rtabmap_msgs::ResetPose::Response&)
{
        Transform pose(req.x, req.y, req.z, req.roll, req.pitch, req.yaw);
        NODELET_INFO( "visual_odometry: reset odom to pose %s!", pose.prettyPrint().c_str());
        reset(pose);
        return true;
}
 
void OdometryROS::reset(const Transform & pose)
{
        UScopeMutex lock(dataMutex_);
        odometry_->reset(pose);
        guess_.setNull();
        guessPreviousPose_.setNull();
        previousStamp_ = 0.0;
        resetCurrentCount_ = resetCountdown_;
        imuProcessed_ = false;
        dataToProcess_ = SensorData();
        dataHeaderToProcess_ = std_msgs::Header();
        bufferedDataToProcess_ = false;
        imuMutex_.lock();
        imus_.clear();
        imuMutex_.unlock();
        this->flushCallbacks();
}
 
bool OdometryROS::pause(std_srvs::Empty::Request&, std_srvs::Empty::Response&)
{
        if(paused_)
        {
                NODELET_WARN( "Odometry: Already paused!");
        }
        else
        {
                paused_ = true;
                NODELET_INFO( "Odometry: paused!");
        }
        return true;
}
 
bool OdometryROS::resume(std_srvs::Empty::Request&, std_srvs::Empty::Response&)
{
        if(!paused_)
        {
                NODELET_WARN( "Odometry: Already running!");
        }
        else
        {
                paused_ = false;
                NODELET_INFO( "Odometry: resumed!");
        }
        return true;
}
 
bool OdometryROS::setLogDebug(std_srvs::Empty::Request&, std_srvs::Empty::Response&)
{
        NODELET_INFO( "visual_odometry: Set log level to Debug");
        ULogger::setLevel(ULogger::kDebug);
        return true;
}
bool OdometryROS::setLogInfo(std_srvs::Empty::Request&, std_srvs::Empty::Response&)
{
        NODELET_INFO( "visual_odometry: Set log level to Info");
        ULogger::setLevel(ULogger::kInfo);
        return true;
}
bool OdometryROS::setLogWarn(std_srvs::Empty::Request&, std_srvs::Empty::Response&)
{
        NODELET_INFO( "visual_odometry: Set log level to Warning");
        ULogger::setLevel(ULogger::kWarning);
        return true;
}
bool OdometryROS::setLogError(std_srvs::Empty::Request&, std_srvs::Empty::Response&)
{
        NODELET_INFO( "visual_odometry: Set log level to Error");
        ULogger::setLevel(ULogger::kError);
        return true;
}
 
OdometryROS::OdomStatusTask::OdomStatusTask() :
                diagnostic_updater::DiagnosticTask("Odom status"),
                lost_(false),
                dataReceived_(false)
{}
 
void OdometryROS::OdomStatusTask::setStatus(bool isLost)
{
        dataReceived_ = true;
        lost_ = isLost;
}
 
void OdometryROS::OdomStatusTask::run(diagnostic_updater::DiagnosticStatusWrapper &stat)
{
        if(!dataReceived_)
        {
                stat.summary(diagnostic_msgs::DiagnosticStatus::ERROR, "No data received!");
        }
        else if(lost_)
        {
                stat.summary(diagnostic_msgs::DiagnosticStatus::ERROR, "Lost!");
        }
        else
        {
                stat.summary(diagnostic_msgs::DiagnosticStatus::OK, "Tracking.");
        }
}
 
}