OdometryOkvis.cpp
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1 /*
2 Copyright (c) 2010-2016, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
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27 
28 #include "rtabmap/core/odometry/OdometryOkvis.h"
29 #include "rtabmap/core/OdometryInfo.h"
30 #include "rtabmap/core/util3d_transforms.h"
31 #include "rtabmap/utilite/ULogger.h"
32 #include "rtabmap/utilite/UTimer.h"
33 #include "rtabmap/utilite/UStl.h"
34 #include "rtabmap/utilite/UThread.h"
35 #include "rtabmap/utilite/UFile.h"
36 #include "rtabmap/utilite/UDirectory.h"
37 #include <opencv2/imgproc/types_c.h>
38 
39 #ifdef RTABMAP_OKVIS
40 #include <iostream>
41 #include <fstream>
42 #include <stdlib.h>
43 #include <memory>
44 #include <functional>
45 #include <atomic>
46 
47 #include <Eigen/Core>
48 #pragma GCC diagnostic push
49 #pragma GCC diagnostic ignored "-Wnon-virtual-dtor"
50 #pragma GCC diagnostic ignored "-Woverloaded-virtual"
51 #include <opencv2/opencv.hpp>
52 #pragma GCC diagnostic pop
53 #include <okvis/VioParametersReader.hpp>
54 #include <okvis/ThreadedKFVio.hpp>
55 #include <okvis/cameras/PinholeCamera.hpp>
56 #include <okvis/cameras/NoDistortion.hpp>
57 #include <okvis/cameras/RadialTangentialDistortion.hpp>
58 #include <okvis/cameras/EquidistantDistortion.hpp>
59 #include <okvis/cameras/RadialTangentialDistortion8.hpp>
60 #include <boost/filesystem.hpp>
61 #endif
62 
63 namespace rtabmap {
64 
65 #ifdef RTABMAP_OKVIS
66 class OkvisCallbackHandler
67 {
68 public:
69  OkvisCallbackHandler()
70  {
71  }
72 
73  Transform getLastTransform()
74  {
75  UDEBUG("");
76  Transform tf;
77  mutex_.lock();
78  tf = transform_;
79  mutex_.unlock();
80 
81  return tf;
82  }
83 
84  std::map<int, cv::Point3f> getLastLandmarks()
85  {
86  UDEBUG("");
87  std::map<int, cv::Point3f> landmarks;
88  mutexLandmarks_.lock();
89  landmarks = landmarks_;
90  mutexLandmarks_.unlock();
91  return landmarks;
92  }
93 
94 public:
95  void fullStateCallback(
96  const okvis::Time & t, const okvis::kinematics::Transformation & T_WS,
97  const Eigen::Matrix<double, 9, 1> & /*speedAndBiases*/,
98  const Eigen::Matrix<double, 3, 1> & /*omega_S*/)
99  {
100  UDEBUG("");
101  Transform tf = Transform::fromEigen4d(T_WS.T());
102 
103  mutex_.lock();
104  transform_ = tf;
105  mutex_.unlock();
106  }
107 
108  void landmarksCallback(const okvis::Time & t,
109  const okvis::MapPointVector & landmarksVector,
110  const okvis::MapPointVector & /*transferredLandmarks*/)
111  {
112  UDEBUG("");
113  mutexLandmarks_.lock();
114  landmarks_.clear();
115  for(unsigned int i=0; i<landmarksVector.size(); ++i)
116  {
117  landmarks_.insert(std::make_pair((int)landmarksVector[i].id, cv::Point3f(landmarksVector[i].point[0], landmarksVector[i].point[1], landmarksVector[i].point[2])));
118  }
119  mutexLandmarks_.unlock();
120  }
121 
122 
123 
124 private:
125  Transform transform_;
126  std::map<int, cv::Point3f> landmarks_;
127  UMutex mutex_;
128  UMutex mutexLandmarks_;
129 };
130 #endif
131 
132 OdometryOkvis::OdometryOkvis(const ParametersMap & parameters) :
133  Odometry(parameters),
134 #ifdef RTABMAP_OKVIS
135  okvisCallbackHandler_(new OkvisCallbackHandler),
136  okvisEstimator_(0),
137  imagesProcessed_(0),
138  initGravity_(false),
139 #endif
140  okvisParameters_(parameters),
141  previousPose_(Transform::getIdentity())
142 {
143 #ifdef RTABMAP_OKVIS
144  Parameters::parse(parameters, Parameters::kOdomOKVISConfigPath(), configFilename_);
145  configFilename_ = uReplaceChar(configFilename_, '~', UDirectory::homeDir());
146  if(configFilename_.empty() || !UFile::exists(configFilename_))
147  {
148  UERROR("OKVIS config file is empty or doesn't exist (%s)!", Parameters::kOdomOKVISConfigPath().c_str());
149  }
150 #endif
151 }
152 
153 OdometryOkvis::~OdometryOkvis()
154 {
155  UDEBUG("");
156 #ifdef RTABMAP_OKVIS
157  delete okvisEstimator_;
158  delete okvisCallbackHandler_;
159 #endif
160 }
161 
162 void OdometryOkvis::reset(const Transform & initialPose)
163 {
164  Odometry::reset(initialPose);
165 #ifdef RTABMAP_OKVIS
166  if(!initGravity_)
167  {
168  if(okvisEstimator_)
169  {
170  delete okvisEstimator_;
171  okvisEstimator_ = 0;
172  }
173  lastImu_ = IMU();
174  imagesProcessed_ = 0;
175  previousPose_.setIdentity();
176 
177  delete okvisCallbackHandler_;
178  okvisCallbackHandler_ = new OkvisCallbackHandler();
179  }
180  initGravity_ = false;
181 #endif
182 }
183 
184 // return not null transform if odometry is correctly computed
185 Transform OdometryOkvis::computeTransform(
186  SensorData & data,
187  const Transform & guess,
188  OdometryInfo * info)
189 {
190  UDEBUG("");
191  Transform t;
192 #ifdef RTABMAP_OKVIS
193  UTimer timer;
194 
195  okvis::Time timeOkvis = okvis::Time(data.stamp());
196 
197  if(!data.imu().empty())
198  {
199  UDEBUG("IMU update stamp=%f acc=%f %f %f gyr=%f %f %f", data.stamp(),
200  data.imu().linearAcceleration()[0],
201  data.imu().linearAcceleration()[1],
202  data.imu().linearAcceleration()[2],
203  data.imu().angularVelocity()[0],
204  data.imu().angularVelocity()[1],
205  data.imu().angularVelocity()[2]);
206  if(okvisEstimator_ != 0)
207  {
208  Eigen::Vector3d acc(data.imu().linearAcceleration()[0], data.imu().linearAcceleration()[1], data.imu().linearAcceleration()[2]);
209  Eigen::Vector3d ang(data.imu().angularVelocity()[0], data.imu().angularVelocity()[1], data.imu().angularVelocity()[2]);
210  okvisEstimator_->addImuMeasurement(timeOkvis, acc, ang);
211  }
212  else
213  {
214  UWARN("Ignoring IMU, waiting for an image to initialize...");
215  lastImu_ = data.imu();
216  }
217  }
218 
219  if(!data.imageRaw().empty())
220  {
221  UDEBUG("Image update stamp=%f", data.stamp());
222  std::vector<cv::Mat> images;
223  std::vector<CameraModel> models;
224  if(data.stereoCameraModels().size() ==1 && data.stereoCameraModels()[0].isValidForProjection())
225  {
226  images.push_back(data.imageRaw());
227  images.push_back(data.rightRaw());
228  CameraModel mleft = data.stereoCameraModels()[0].left();
229  // should be transform between IMU and camera
230  mleft.setLocalTransform(lastImu_.localTransform().inverse()*mleft.localTransform());
231  models.push_back(mleft);
232  CameraModel mright = data.stereoCameraModels()[0].right();
233 
234  // To support not rectified images
235  if(!imagesAlreadyRectified())
236  {
237  cv::Mat R = data.stereoCameraModels()[0].R();
238  cv::Mat T = data.stereoCameraModels()[0].T();
239  UASSERT(R.cols==3 && R.rows == 3);
240  UASSERT(T.cols==1 && T.rows == 3);
241  Transform extrinsics(R.at<double>(0,0), R.at<double>(0,1), R.at<double>(0,2), T.at<double>(0,0),
242  R.at<double>(1,0), R.at<double>(1,1), R.at<double>(1,2), T.at<double>(1,0),
243  R.at<double>(2,0), R.at<double>(2,1), R.at<double>(2,2), T.at<double>(2,0));
244  mright.setLocalTransform(mleft.localTransform() * extrinsics.inverse());
245  }
246  else
247  {
248  Transform extrinsics(1, 0, 0, 0,
249  0, 1, 0, data.stereoCameraModels()[0].baseline(),
250  0, 0, 1, 0);
251  mright.setLocalTransform(extrinsics * mleft.localTransform());
252  }
253 
254 
255  models.push_back(mright);
256  }
257  else
258  {
259  UASSERT(int((data.imageRaw().cols/data.cameraModels().size())*data.cameraModels().size()) == data.imageRaw().cols);
260  int subImageWidth = data.imageRaw().cols/data.cameraModels().size();
261  for(unsigned int i=0; i<data.cameraModels().size(); ++i)
262  {
263  if(data.cameraModels()[i].isValidForProjection())
264  {
265  images.push_back(cv::Mat(data.imageRaw(), cv::Rect(subImageWidth*i, 0, subImageWidth, data.imageRaw().rows)));
266  CameraModel m = data.cameraModels()[i];
267  // should be transform between IMU and camera
268  m.setLocalTransform(lastImu_.localTransform().inverse()*m.localTransform());
269  models.push_back(m);
270  }
271  }
272  }
273 
274  bool imageUpdated = false;
275  if(images.size())
276  {
277  // initialization
278  if(okvisEstimator_ == 0)
279  {
280  UDEBUG("Initialization");
281  if(lastImu_.empty())
282  {
283  UWARN("Ignoring Image, waiting for imu to initialize...");
284  return t;
285  }
286 
287  okvis::VioParameters parameters;
288  if(configFilename_.empty() || !UFile::exists(configFilename_))
289  {
290  UERROR("OKVIS config file is empty or doesn't exist (%s)!", Parameters::kOdomOKVISConfigPath().c_str());
291  return t;
292  }
293  else
294  {
295  okvis::VioParametersReader vio_parameters_reader(uReplaceChar(configFilename_, '~', UDirectory::homeDir()));
296  vio_parameters_reader.getParameters(parameters);
297  if(parameters.nCameraSystem.numCameras() > 0)
298  {
299  UWARN("Camera calibration included in OKVIS is ignored as calibration from received images will be used instead.");
300  }
301  parameters.nCameraSystem = okvis::cameras::NCameraSystem();
302  }
303 
304  parameters.publishing.publishRate = parameters.imu.rate; // rate at which odometry updates are published only works properly if imu_rate/publish_rate is an integer!!
305  parameters.publishing.publishLandmarks = true; // select, if you want to publish landmarks at all
306  parameters.publishing.publishImuPropagatedState = true; // Should the state that is propagated with IMU messages be published? Or just the optimized ones?
307  parameters.publishing.landmarkQualityThreshold = 1.0e-2; // landmark with lower quality will not be published
308  parameters.publishing.maxLandmarkQuality = 0.05; // landmark with higher quality will be published with the maximum colour intensity
309  parameters.publishing.trackedBodyFrame = okvis::FrameName::B; // B or S, the frame of reference that will be expressed relative to the selected worldFrame
310  parameters.publishing.velocitiesFrame = okvis::FrameName::B; // Wc, B or S, the frames in which the velocities of the selected trackedBodyFrame will be expressed in
311 
312  // non-hard coded parameters
313  parameters.imu.T_BS = okvis::kinematics::Transformation(lastImu_.localTransform().toEigen4d());
314  UINFO("Images are already rectified = %s", imagesAlreadyRectified()?"true":"false");
315  for(unsigned int i=0; i<models.size(); ++i)
316  {
317  okvis::cameras::NCameraSystem::DistortionType distType = okvis::cameras::NCameraSystem::NoDistortion;
318  std::shared_ptr<const okvis::cameras::CameraBase> cam;
319  if(!imagesAlreadyRectified())
320  {
321  if(models[i].D_raw().cols == 8)
322  {
323  okvis::cameras::RadialTangentialDistortion8 dist(
324  models[i].D_raw().at<double>(0,0),
325  models[i].D_raw().at<double>(0,1),
326  models[i].D_raw().at<double>(0,2),
327  models[i].D_raw().at<double>(0,3),
328  models[i].D_raw().at<double>(0,4),
329  models[i].D_raw().at<double>(0,5),
330  models[i].D_raw().at<double>(0,6),
331  models[i].D_raw().at<double>(0,7));
332  cam.reset(
333  new okvis::cameras::PinholeCamera<okvis::cameras::RadialTangentialDistortion8>(
334  models[i].imageWidth(),
335  models[i].imageHeight(),
336  models[i].K_raw().at<double>(0,0),
337  models[i].K_raw().at<double>(1,1),
338  models[i].K_raw().at<double>(0,2),
339  models[i].K_raw().at<double>(1,2),
340  dist));
341  distType = okvis::cameras::NCameraSystem::RadialTangential8;
342  UINFO("RadialTangential8");
343  }
344  else if(models[i].D_raw().cols == 6)
345  {
346  okvis::cameras::EquidistantDistortion dist(
347  models[i].D_raw().at<double>(0,0),
348  models[i].D_raw().at<double>(0,1),
349  models[i].D_raw().at<double>(0,4),
350  models[i].D_raw().at<double>(0,5));
351  cam.reset(new okvis::cameras::PinholeCamera<okvis::cameras::EquidistantDistortion>(
352  models[i].imageWidth(),
353  models[i].imageHeight(),
354  models[i].K_raw().at<double>(0,0),
355  models[i].K_raw().at<double>(1,1),
356  models[i].K_raw().at<double>(0,2),
357  models[i].K_raw().at<double>(1,2),
358  dist));
359  distType = okvis::cameras::NCameraSystem::Equidistant;
360  UINFO("Equidistant");
361  }
362  else if(models[i].D_raw().cols >= 4)
363  {
364  // To support not rectified images
365  okvis::cameras::RadialTangentialDistortion dist(
366  models[i].D_raw().at<double>(0,0),
367  models[i].D_raw().at<double>(0,1),
368  models[i].D_raw().at<double>(0,2),
369  models[i].D_raw().at<double>(0,3));
370  cam.reset(
371  new okvis::cameras::PinholeCamera<okvis::cameras::RadialTangentialDistortion>(
372  models[i].imageWidth(),
373  models[i].imageHeight(),
374  models[i].K_raw().at<double>(0,0),
375  models[i].K_raw().at<double>(1,1),
376  models[i].K_raw().at<double>(0,2),
377  models[i].K_raw().at<double>(1,2),
378  dist));
379  distType = okvis::cameras::NCameraSystem::RadialTangential;
380  UINFO("RadialTangential");
381  }
382  }
383  else // no distortion, rectified images
384  {
385  okvis::cameras::RadialTangentialDistortion dist(0,0,0,0);
386  cam.reset(
387  new okvis::cameras::PinholeCamera<okvis::cameras::RadialTangentialDistortion>(
388  models[i].imageWidth(),
389  models[i].imageHeight(),
390  models[i].K().at<double>(0,0),
391  models[i].K().at<double>(1,1),
392  models[i].K().at<double>(0,2),
393  models[i].K().at<double>(1,2),
394  dist));
395  distType = okvis::cameras::NCameraSystem::RadialTangential;
396  }
397 
398  if(cam.get())
399  {
400  UINFO("model %d: %s", i, models[i].localTransform().prettyPrint().c_str());
401 
402  Eigen::Vector3d r(models[i].localTransform().x(), models[i].localTransform().y(), models[i].localTransform().z());
403  parameters.nCameraSystem.addCamera(
404  std::shared_ptr<const okvis::kinematics::Transformation>(new okvis::kinematics::Transformation(r, models[i].localTransform().getQuaterniond().normalized())),
405  cam,
406  distType);
407  }
408  }
409 
410  okvisEstimator_ = new okvis::ThreadedKFVio(parameters);
411 
412  okvisEstimator_->setFullStateCallback(
413  std::bind(&OkvisCallbackHandler::fullStateCallback, okvisCallbackHandler_,
414  std::placeholders::_1, std::placeholders::_2,
415  std::placeholders::_3, std::placeholders::_4));
416 
417  okvisEstimator_->setLandmarksCallback(
418  std::bind(&OkvisCallbackHandler::landmarksCallback, okvisCallbackHandler_,
419  std::placeholders::_1, std::placeholders::_2,
420  std::placeholders::_3));
421 
422  okvisEstimator_->setBlocking(true);
423  }
424 
425  for(unsigned int i=0; i<images.size(); ++i)
426  {
427  cv::Mat gray;
428  if(images[i].type() == CV_8UC3)
429  {
430  cv::cvtColor(images[i], gray, CV_BGR2GRAY);
431  }
432  else if(images[i].type() == CV_8UC1)
433  {
434  gray = images[i];
435  }
436  else
437  {
438  UFATAL("Not supported color type!");
439  }
440 
441  imageUpdated = okvisEstimator_->addImage(timeOkvis, i, gray);
442  if(!imageUpdated)
443  {
444  UWARN("Image update with stamp %f delayed...", data.stamp());
445  }
446  }
447  if(imageUpdated)
448  {
449  ++imagesProcessed_;
450  }
451  }
452 
453  if(imageUpdated && imagesProcessed_ > 10)
454  {
455  Transform fixPos(-1,0,0,0, 0,-1,0,0, 0,0,1,0);
456  Transform fixRot(0,0,1,0, 0,-1,0,0, 1,0,0,0);
457  Transform p = okvisCallbackHandler_->getLastTransform();
458  if(!p.isNull())
459  {
460  p = fixPos * p * fixRot;
461 
462  if(this->getPose().rotation().isIdentity())
463  {
464  initGravity_ = true;
465  this->reset(this->getPose()*p.rotation());
466  }
467 
468  if(previousPose_.isIdentity())
469  {
470  previousPose_ = p;
471  }
472 
473  // make it incremental
474  t = previousPose_.inverse()*p;
475  previousPose_ = p;
476 
477  if(info)
478  {
479  info->reg.covariance = cv::Mat::eye(6,6, CV_64FC1);
480  info->reg.covariance *= this->framesProcessed() == 0?9999:0.0001;
481 
482  // FIXME: the scale of landmarks doesn't seem to fit well the environment...
483  /*info->localMap = okvisCallbackHandler_->getLastLandmarks();
484  info->localMapSize = info->localMap.size();
485  for(std::map<int, cv::Point3f>::iterator iter=info->localMap.begin(); iter!=info->localMap.end(); ++iter)
486  {
487  iter->second = util3d::transformPoint(iter->second, fixPos);
488  }*/
489  }
490  }
491  UINFO("Odom update time = %fs p=%s", timer.elapsed(), p.prettyPrint().c_str());
492  }
493  }
494 #else
495  UERROR("RTAB-Map is not built with OKVIS support! Select another visual odometry approach.");
496 #endif
497  return t;
498 }
499 
500 } // namespace rtabmap
rtabmap::SensorData
Definition: SensorData.h:51
OdometryOkvis.h
UINFO
#define UINFO(...)
rtabmap::IMU::empty
bool empty() const
Definition: IMU.h:67
OdometryInfo.h
rtabmap::OdometryOkvis::computeTransform
virtual Transform computeTransform(SensorData &image, const Transform &guess=Transform(), OdometryInfo *info=0)
Definition: OdometryOkvis.cpp:185
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rtabmap::OdometryOkvis::reset
virtual void reset(const Transform &initialPose=Transform::getIdentity())
Definition: OdometryOkvis.cpp:162
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Index size
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Definition: CameraModel.h:38
type
y
Matrix3f y
transform_
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const Transform & localTransform() const
Definition: IMU.h:62
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std::map< std::string, std::string > ParametersMap
Definition: Parameters.h:43
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rtabmap::SensorCaptureThread * cam
Definition: tools/DataRecorder/main.cpp:58
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static bool parse(const ParametersMap &parameters, const std::string &key, bool &value)
Definition: Parameters.cpp:500
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virtual ~OdometryOkvis()
Definition: OdometryOkvis.cpp:153
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static std::string homeDir()
Definition: UDirectory.cpp:355
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void setLocalTransform(const Transform &transform)
Definition: CameraModel.h:115
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const Transform & getPose() const
Definition: Odometry.h:76
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Definition: IMU.h:19
UFATAL
#define UFATAL(...)
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int data[]
util3d_transforms.h
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Definition: UMutex.h:54
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IMU lastImu_
Definition: OdometryOkvis.h:63
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Definition: OdometryOkvis.h:55
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virtual void reset(const Transform &initialPose=Transform::getIdentity())
Definition: Odometry.cpp:210
info
else if n * info
UASSERT
#define UASSERT(condition)
z
z
x
x
m
Matrix3f m
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Eigen::Triplet< double >
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unsigned int framesProcessed() const
Definition: Odometry.h:82
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void setIdentity()
Definition: Transform.cpp:157
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Eigen::Matrix4d toEigen4d() const
Definition: Transform.cpp:381
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Transform previousPose_
Definition: OdometryOkvis.h:64
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Transform inverse() const
Definition: Transform.cpp:178
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GLM_FUNC_DECL bool isIdentity(matType< T, P > const &m, T const &epsilon)
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Definition: Transform.cpp:422
K
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std::string UTILITE_EXPORT uReplaceChar(const std::string &str, char before, char after)
Definition: UConversion.cpp:33
ULogger.h
ULogger class and convenient macros.
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Definition: Transform.h:41
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GLM_FUNC_DECL detail::tquat< T, P > rotation(detail::tvec3< T, P > const &orig, detail::tvec3< T, P > const &dest)
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Definition: Transform.cpp:195
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bool isIdentity() const
Definition: Transform.cpp:136
c_str
const char * c_str(Args &&...args)
UStl.h
Wrappers of STL for convenient functions.
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#define UDEBUG(...)
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Definition: Odometry.h:42
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Definition: UTimer.h:46
rtabmap::OdometryInfo
Definition: OdometryInfo.h:40
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Definition: ConvertUTF.c:56
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int cols
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bool imagesAlreadyRectified() const
Definition: Odometry.h:83
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Definition: CameraARCore.cpp:35
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Definition: UFile.h:104
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const Transform & localTransform() const
Definition: CameraModel.h:116
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Definition: UTimer.h:75
i
int i
rtabmap::OdometryOkvis::OdometryOkvis
OdometryOkvis(const rtabmap::ParametersMap &parameters=rtabmap::ParametersMap())
Definition: OdometryOkvis.cpp:132
R
R

rtabmap
Author(s): Mathieu Labbe
autogenerated on Thu Jul 25 2024 02:50:13