Go to the documentation of this file.00001
00002
00003
00004
00005
00006
00007
00008
00009
00010
00011
00012
00013
00014
00015
00016
00017 #include "cartographer/mapping/internal/range_data_collator.h"
00018
00019 #include <memory>
00020
00021 #include "absl/memory/memory.h"
00022 #include "cartographer/mapping/local_slam_result_data.h"
00023 #include "glog/logging.h"
00024
00025 namespace cartographer {
00026 namespace mapping {
00027
00028 sensor::TimedPointCloudOriginData RangeDataCollator::AddRangeData(
00029 const std::string& sensor_id,
00030 const sensor::TimedPointCloudData& timed_point_cloud_data) {
00031 CHECK_NE(expected_sensor_ids_.count(sensor_id), 0);
00032
00033 if (id_to_pending_data_.count(sensor_id) != 0) {
00034 current_start_ = current_end_;
00035
00036
00037 current_end_ = id_to_pending_data_.at(sensor_id).time;
00038 auto result = CropAndMerge();
00039 id_to_pending_data_.emplace(sensor_id, timed_point_cloud_data);
00040 return result;
00041 }
00042 id_to_pending_data_.emplace(sensor_id, timed_point_cloud_data);
00043 if (expected_sensor_ids_.size() != id_to_pending_data_.size()) {
00044 return {};
00045 }
00046 current_start_ = current_end_;
00047
00048 common::Time oldest_timestamp = common::Time::max();
00049 for (const auto& pair : id_to_pending_data_) {
00050 oldest_timestamp = std::min(oldest_timestamp, pair.second.time);
00051 }
00052 current_end_ = oldest_timestamp;
00053 return CropAndMerge();
00054 }
00055
00056 sensor::TimedPointCloudOriginData RangeDataCollator::CropAndMerge() {
00057 sensor::TimedPointCloudOriginData result{current_end_, {}, {}};
00058 bool warned_for_dropped_points = false;
00059 for (auto it = id_to_pending_data_.begin();
00060 it != id_to_pending_data_.end();) {
00061 sensor::TimedPointCloudData& data = it->second;
00062 sensor::TimedPointCloud& ranges = it->second.ranges;
00063
00064 auto overlap_begin = ranges.begin();
00065 while (overlap_begin < ranges.end() &&
00066 data.time + common::FromSeconds((*overlap_begin).time) <
00067 current_start_) {
00068 ++overlap_begin;
00069 }
00070 auto overlap_end = overlap_begin;
00071 while (overlap_end < ranges.end() &&
00072 data.time + common::FromSeconds((*overlap_end).time) <=
00073 current_end_) {
00074 ++overlap_end;
00075 }
00076 if (ranges.begin() < overlap_begin && !warned_for_dropped_points) {
00077 LOG(WARNING) << "Dropped " << std::distance(ranges.begin(), overlap_begin)
00078 << " earlier points.";
00079 warned_for_dropped_points = true;
00080 }
00081
00082
00083 if (overlap_begin < overlap_end) {
00084 std::size_t origin_index = result.origins.size();
00085 result.origins.push_back(data.origin);
00086 const float time_correction =
00087 static_cast<float>(common::ToSeconds(data.time - current_end_));
00088 for (auto overlap_it = overlap_begin; overlap_it != overlap_end;
00089 ++overlap_it) {
00090 sensor::TimedPointCloudOriginData::RangeMeasurement point{*overlap_it,
00091 origin_index};
00092
00093
00094 point.point_time.time += time_correction;
00095 result.ranges.push_back(point);
00096 }
00097 }
00098
00099
00100 if (overlap_end == ranges.end()) {
00101 it = id_to_pending_data_.erase(it);
00102 } else if (overlap_end == ranges.begin()) {
00103 ++it;
00104 } else {
00105 data = sensor::TimedPointCloudData{
00106 data.time, data.origin,
00107 sensor::TimedPointCloud(overlap_end, ranges.end())};
00108 ++it;
00109 }
00110 }
00111
00112 std::sort(result.ranges.begin(), result.ranges.end(),
00113 [](const sensor::TimedPointCloudOriginData::RangeMeasurement& a,
00114 const sensor::TimedPointCloudOriginData::RangeMeasurement& b) {
00115 return a.point_time.time < b.point_time.time;
00116 });
00117 return result;
00118 }
00119
00120 }
00121 }