Add LIO-SAM as an odometry strategy (#1684)

* Added liosam odometry integration

* Add kXYZIRT scan format with per-point ring channel for LIO-SAM integration

Introduce PointXYZIRT point type and kXYZIRT LaserScan format (x,y,z,
intensity,ring,time) so that ring indices survive the scan pipeline.
Update OdometryLIOSAM to require kXYZIRT and properly split ring/time
into the parallel buffers LIO-SAM expects. Extend deskewing to preserve
ring data and disable base-class deskew in OdometryLIOSAM since LIO-SAM
handles it internally.

* Address PR review: config file, deferred init, and GUI panel for LIO-SAM

- Add OdomLIOSAM/ConfigPath parameter to load LIO-SAM settings from a
  YAML file. When set, individual params are ignored. Extrinsics from
  sensor local transforms always override config file values.
- Defer LioSamCore initialization until both IMU and lidar local
  transforms are available, computing T_lidar_imu from sensor data.
  IMU samples are buffered and replayed after init.
- Fix deferred init for scan-only messages that arrive after IMU
  local transform is already cached.
- Add LIO-SAM entry to odometry strategy combo box (index 14) with
  full PreferencesDialog panel including config path browse button
  and all parameter widgets.

* OdometryLIOSAM: propagate deskewed scan to SensorData

Capture the deskewed cloud produced by LIO-SAM's image projection
stage and replace the raw scan on SensorData with it, so loop closure
registration and other downstream stages operate on the motion-
compensated points instead of the raw pre-deskew input.

* Minor updates for rtabmap_ros

---------

Co-authored-by: matlabbe <matlabbe@gmail.com>
This commit is contained in:
Abhijith
2026-04-12 20:06:44 -05:00
committed by GitHub
parent 8fd701aabe
commit a9f63bd5fd
17 changed files with 1316 additions and 29 deletions

View File

@@ -98,6 +98,7 @@ SET(SRC_FILES
odometry/OdometryORBSLAM3.cpp
odometry/OdometryLOAM.cpp
odometry/OdometryFLOAM.cpp
odometry/OdometryLIOSAM.cpp
odometry/OdometryMSCKF.cpp
odometry/OdometryVINSFusion.cpp
odometry/OdometryOpenVINS.cpp
@@ -604,6 +605,18 @@ IF(floam_FOUND)
)
ENDIF(floam_FOUND)
IF(lio_sam_FOUND)
SET(INCLUDE_DIRS
${INCLUDE_DIRS}
${lio_sam_INCLUDE_DIRS}
)
link_directories(${lio_sam_LIBRARY_DIRS})
SET(LIBRARIES
${LIBRARIES}
lio_sam_core
)
ENDIF(lio_sam_FOUND)
IF(ZED_FOUND)
SET(INCLUDE_DIRS
${INCLUDE_DIRS}

View File

@@ -68,6 +68,9 @@ std::string LaserScan::formatName(const Format & format)
case kXYZIT:
name = "XYZIT";
break;
case kXYZIRT:
name = "XYZIRT";
break;
default:
name = "Unknown";
break;
@@ -96,6 +99,7 @@ int LaserScan::channels(const Format & format)
break;
case kXYZNormal:
case kXYINormal:
case kXYZIRT:
channels = 6;
break;
case kXYZINormal:
@@ -123,11 +127,15 @@ bool LaserScan::isScanHasRGB(const Format & format)
}
bool LaserScan::isScanHasIntensity(const Format & format)
{
return format==kXYZI || format==kXYZINormal || format == kXYI || format == kXYINormal || format==kXYZIT;
return format==kXYZI || format==kXYZINormal || format == kXYI || format == kXYINormal || format==kXYZIT || format==kXYZIRT;
}
bool LaserScan::isScanHasTime(const Format & format)
{
return format==kXYZIT;
return format==kXYZIT || format==kXYZIRT;
}
bool LaserScan::isScanHasRing(const Format & format)
{
return format==kXYZIRT;
}
LaserScan LaserScan::backwardCompatibility(
@@ -404,7 +412,7 @@ void LaserScan::init(
UASSERT_MSG(data.channels() != 3 || (data.channels() == 3 && (format == kXYZ || format == kXYI)), uFormat("format=%s", LaserScan::formatName(format).c_str()).c_str());
UASSERT_MSG(data.channels() != 4 || (data.channels() == 4 && (format == kXYZI || format == kXYZRGB)), uFormat("format=%s", LaserScan::formatName(format).c_str()).c_str());
UASSERT_MSG(data.channels() != 5 || (data.channels() == 5 && (format == kXYNormal || format == kXYZIT)), uFormat("format=%s", LaserScan::formatName(format).c_str()).c_str());
UASSERT_MSG(data.channels() != 6 || (data.channels() == 6 && (format == kXYINormal || format == kXYZNormal)), uFormat("format=%s", LaserScan::formatName(format).c_str()).c_str());
UASSERT_MSG(data.channels() != 6 || (data.channels() == 6 && (format == kXYINormal || format == kXYZNormal || format == kXYZIRT)), uFormat("format=%s", LaserScan::formatName(format).c_str()).c_str());
UASSERT_MSG(data.channels() != 7 || (data.channels() == 7 && (format == kXYZRGBNormal || format == kXYZINormal)), uFormat("format=%s", LaserScan::formatName(format).c_str()).c_str());
}
}

View File

@@ -35,6 +35,7 @@ SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
#include "rtabmap/core/odometry/OdometryORBSLAM3.h"
#include "rtabmap/core/odometry/OdometryLOAM.h"
#include "rtabmap/core/odometry/OdometryFLOAM.h"
#include "rtabmap/core/odometry/OdometryLIOSAM.h"
#include "rtabmap/core/odometry/OdometryMSCKF.h"
#include "rtabmap/core/odometry/OdometryVINSFusion.h"
#include "rtabmap/core/odometry/OdometryOpenVINS.h"
@@ -101,6 +102,9 @@ Odometry * Odometry::create(Odometry::Type & type, const ParametersMap & paramet
case Odometry::kTypeFLOAM:
odometry = new OdometryFLOAM(parameters);
break;
case Odometry::kTypeLIOSAM:
odometry = new OdometryLIOSAM(parameters);
break;
case Odometry::kTypeMSCKF:
odometry = new OdometryMSCKF(parameters);
break;

View File

@@ -903,6 +903,12 @@ ParametersMap Parameters::parseArguments(int argc, char * argv[], bool onlyParam
std::cout << str << std::setw(spacing - str.size()) << "true" << std::endl;
#else
std::cout << str << std::setw(spacing - str.size()) << "false" << std::endl;
#endif
str = "With LIO-SAM:";
#ifdef RTABMAP_LIOSAM
std::cout << str << std::setw(spacing - str.size()) << "true" << std::endl;
#else
std::cout << str << std::setw(spacing - str.size()) << "false" << std::endl;
#endif
str = "With FOVIS:";
#ifdef RTABMAP_FOVIS

View File

@@ -0,0 +1,478 @@
/*
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;
LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
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/core/odometry/OdometryLIOSAM.h"
#include "rtabmap/core/OdometryInfo.h"
#include "rtabmap/core/util3d.h"
#include "rtabmap/utilite/ULogger.h"
#include "rtabmap/utilite/UTimer.h"
#include "rtabmap/utilite/UStl.h"
#include "rtabmap/utilite/UDirectory.h"
#include "rtabmap/utilite/UFile.h"
#ifdef RTABMAP_LIOSAM
#include <LioSamCore.h>
#include <pcl/common/transforms.h>
#endif
namespace rtabmap {
static ParametersMap disableDeskewing(ParametersMap params) {
// LIO-SAM performs its own internal deskewing via imageProjection.
// The base-class deskew must be disabled so that the original per-point
// timestamps reach LIO-SAM intact.
params[Parameters::kOdomDeskewing()] = "false";
return params;
}
OdometryLIOSAM::OdometryLIOSAM(const ParametersMap & parameters) :
Odometry(disableDeskewing(parameters))
#ifdef RTABMAP_LIOSAM
,lioSam_(0)
,lastPose_(Transform::getIdentity())
,lost_(false)
,linVar_(Parameters::defaultOdomLIOSAMLinVar())
,angVar_(Parameters::defaultOdomLIOSAMAngVar())
,parameters_(parameters)
#endif
{
#ifdef RTABMAP_LIOSAM
Parameters::parse(parameters, Parameters::kOdomLIOSAMLinVar(), linVar_);
UASSERT(linVar_ > 0.0f);
Parameters::parse(parameters, Parameters::kOdomLIOSAMAngVar(), angVar_);
UASSERT(angVar_ > 0.0f);
#endif
}
OdometryLIOSAM::~OdometryLIOSAM()
{
#ifdef RTABMAP_LIOSAM
delete lioSam_;
#endif
}
void OdometryLIOSAM::reset(const Transform & initialPose)
{
Odometry::reset(initialPose);
#ifdef RTABMAP_LIOSAM
if(lioSam_)
{
lioSam_->reset();
}
lastPose_ = Transform::getIdentity();
lost_ = false;
imuLocalTransform_ = Transform();
imuBuffer_.clear();
#endif
}
#ifdef RTABMAP_LIOSAM
bool OdometryLIOSAM::init(const Transform & imuLocalTransform, const Transform & lidarLocalTransform)
{
ParamServer config;
// Check if a config file path was provided
std::string configPath;
Parameters::parse(parameters_, Parameters::kOdomLIOSAMConfigPath(), configPath);
if(!configPath.empty())
{
configPath = uReplaceChar(configPath, '~', UDirectory::homeDir());
if(!UFile::exists(configPath))
{
UERROR("LIO-SAM config file not found: %s", configPath.c_str());
return false;
}
UINFO("Loading LIO-SAM parameters from config file: %s", configPath.c_str());
config = loadParamsFromYaml(configPath);
}
else
{
UINFO("No LIO-SAM config file provided, using rtabmap parameters");
// Build ParamServer from individual rtabmap parameters
int sensorType = Parameters::defaultOdomLIOSAMSensor();
Parameters::parse(parameters_, Parameters::kOdomLIOSAMSensor(), sensorType);
if(sensorType == 1)
config.sensor = SensorType::OUSTER;
else if(sensorType == 2)
config.sensor = SensorType::LIVOX;
else
config.sensor = SensorType::VELODYNE;
config.N_SCAN = Parameters::defaultOdomLIOSAMNScan();
Parameters::parse(parameters_, Parameters::kOdomLIOSAMNScan(), config.N_SCAN);
config.Horizon_SCAN = Parameters::defaultOdomLIOSAMHorizonScan();
Parameters::parse(parameters_, Parameters::kOdomLIOSAMHorizonScan(), config.Horizon_SCAN);
config.imuAccNoise = Parameters::defaultOdomLIOSAMImuAccNoise();
Parameters::parse(parameters_, Parameters::kOdomLIOSAMImuAccNoise(), config.imuAccNoise);
config.imuGyrNoise = Parameters::defaultOdomLIOSAMImuGyrNoise();
Parameters::parse(parameters_, Parameters::kOdomLIOSAMImuGyrNoise(), config.imuGyrNoise);
config.imuAccBiasN = Parameters::defaultOdomLIOSAMImuAccBiasN();
Parameters::parse(parameters_, Parameters::kOdomLIOSAMImuAccBiasN(), config.imuAccBiasN);
config.imuGyrBiasN = Parameters::defaultOdomLIOSAMImuGyrBiasN();
Parameters::parse(parameters_, Parameters::kOdomLIOSAMImuGyrBiasN(), config.imuGyrBiasN);
config.imuGravity = Parameters::defaultOdomLIOSAMImuGravity();
Parameters::parse(parameters_, Parameters::kOdomLIOSAMImuGravity(), config.imuGravity);
config.edgeThreshold = Parameters::defaultOdomLIOSAMEdgeThreshold();
Parameters::parse(parameters_, Parameters::kOdomLIOSAMEdgeThreshold(), config.edgeThreshold);
config.surfThreshold = Parameters::defaultOdomLIOSAMSurfThreshold();
Parameters::parse(parameters_, Parameters::kOdomLIOSAMSurfThreshold(), config.surfThreshold);
// Set reasonable defaults for params not exposed via rtabmap
config.downsampleRate = 1;
config.lidarMinRange = 1.0f;
config.lidarMaxRange = 1000.0f;
config.imuRPYWeight = 0.01f;
config.odometrySurfLeafSize = 0.2f;
config.mappingCornerLeafSize = 0.2f;
config.mappingSurfLeafSize = 0.4f;
config.z_tollerance = FLT_MAX;
config.rotation_tollerance = FLT_MAX;
config.numberOfCores = 4;
config.mappingProcessInterval = 0.01;
config.surroundingkeyframeAddingDistThreshold = 1.0f;
config.surroundingkeyframeAddingAngleThreshold = 0.2f;
config.surroundingKeyframeDensity = 1.0f;
config.surroundingKeyframeSearchRadius = 50.0f;
config.loopClosureEnableFlag = false; // rtabmap handles loop closures
config.loopClosureFrequency = 1.0f;
config.surroundingKeyframeSize = 50;
config.historyKeyframeSearchRadius = 10.0f;
config.historyKeyframeSearchTimeDiff = 30.0f;
config.historyKeyframeSearchNum = 25;
config.historyKeyframeFitnessScore = 0.3f;
config.globalMapVisualizationSearchRadius = 1e3f;
config.globalMapVisualizationPoseDensity = 10.0f;
config.globalMapVisualizationLeafSize = 1.0f;
config.edgeFeatureMinValidNum = 10;
config.surfFeatureMinValidNum = 100;
config.savePCD = false;
config.useImuHeadingInitialization = false;
config.useGpsElevation = false;
config.gpsCovThreshold = 2.0f;
config.poseCovThreshold = 25.0f;
}
// Always override extrinsics from sensor local transforms when available.
// This ensures the IMU-to-lidar transform matches the actual sensor setup
// regardless of what the config file says.
// imuLocalTransform = T_base_imu (base_link -> imu_link)
// lidarLocalTransform = T_base_lidar (base_link -> lidar_link)
// LIO-SAM's imuConverter() expects T_lidar_imu:
// T_lidar_imu = T_base_lidar^{-1} * T_base_imu
if(!imuLocalTransform.isNull() && !lidarLocalTransform.isNull())
{
Transform T_lidar_imu = lidarLocalTransform.inverse() * imuLocalTransform;
Eigen::Matrix4d T = T_lidar_imu.toEigen4d();
Eigen::Matrix3d rot = T.block<3,3>(0,0);
Eigen::Vector3d trans = T.block<3,1>(0,3);
config.extRotV = {rot(0,0), rot(0,1), rot(0,2),
rot(1,0), rot(1,1), rot(1,2),
rot(2,0), rot(2,1), rot(2,2)};
config.extRPYV = config.extRotV;
config.extTransV = {trans(0), trans(1), trans(2)};
UINFO("LIO-SAM extrinsics (T_lidar_imu) computed from sensor local transforms: %s", T_lidar_imu.prettyPrint().c_str());
}
else if(config.extRotV.size() != 9 || config.extTransV.size() != 3)
{
// No valid extrinsics from sensor data or config file
UERROR("Cannot compute IMU-to-lidar extrinsics: IMU local transform %s, lidar local transform %s. "
"Both must be valid, or the config file must contain valid extrinsics.",
imuLocalTransform.isNull() ? "is null" : "is valid",
lidarLocalTransform.isNull() ? "is null" : "is valid");
return false;
}
else
{
UINFO("Using extrinsics from config file (sensor local transforms not available)");
}
// Set the global extrinsics used by imuConverter
extRot = Eigen::Map<const Eigen::Matrix<double, 3, 3, Eigen::RowMajor> >(config.extRotV.data());
extRPY = Eigen::Map<const Eigen::Matrix<double, 3, 3, Eigen::RowMajor> >(config.extRPYV.data());
extTrans = Eigen::Map<const Eigen::Matrix<double, 3, 1> >(config.extTransV.data());
extQRPY = Eigen::Quaterniond(extRPY).inverse();
lioSam_ = new lio_sam::LioSamCore(config);
// Replay buffered IMU samples
UINFO("Replaying %d buffered IMU samples into LIO-SAM", (int)imuBuffer_.size());
for(const ImuSample & s : imuBuffer_)
{
lioSam_->addImu(s.stamp, s.acc, s.gyro, s.orientation);
}
imuBuffer_.clear();
return true;
}
#endif
Transform OdometryLIOSAM::computeTransform(
SensorData & data,
const Transform & guess,
OdometryInfo * info)
{
Transform t;
#ifdef RTABMAP_LIOSAM
UTimer timer;
UTimer timerTotal;
// Handle async IMU data (canProcessAsyncIMU() == true means
// the base class sends IMU-only data directly to computeTransform)
if(!data.imu().empty())
{
Eigen::Quaterniond qd(
data.imu().orientation()[3], // w
data.imu().orientation()[0], // x
data.imu().orientation()[1], // y
data.imu().orientation()[2]); // z
Eigen::Vector3d acc(
data.imu().linearAcceleration()[0],
data.imu().linearAcceleration()[1],
data.imu().linearAcceleration()[2]);
Eigen::Vector3d gyro(
data.imu().angularVelocity()[0],
data.imu().angularVelocity()[1],
data.imu().angularVelocity()[2]);
// Deferred initialization: need both IMU and lidar local transforms
// to compute T_lidar_imu extrinsics for LIO-SAM.
if(!lioSam_)
{
// Cache IMU local transform when first available
if(imuLocalTransform_.isNull() && !data.imu().localTransform().isNull())
{
imuLocalTransform_ = data.imu().localTransform();
}
// Try to initialize if we have both transforms
if(!imuLocalTransform_.isNull() && !data.laserScanRaw().isEmpty() &&
!data.laserScanRaw().localTransform().isNull())
{
if(!init(imuLocalTransform_, data.laserScanRaw().localTransform()))
{
UERROR("Failed to initialize LIO-SAM");
return t;
}
}
else
{
// Buffer IMU until we can initialize
ImuSample s;
s.stamp = data.stamp();
s.acc = acc;
s.gyro = gyro;
s.orientation = qd;
imuBuffer_.push_back(s);
if(data.laserScanRaw().isEmpty())
{
return t;
}
}
}
if(lioSam_)
{
lioSam_->addImu(data.stamp(), acc, gyro, qd);
}
// IMU-only: no pose to return
if(data.laserScanRaw().isEmpty())
{
return t;
}
}
if(!lioSam_)
{
// A scan arrived without IMU in the same message.
// Try to init if the IMU local transform was already cached.
if(!imuLocalTransform_.isNull() && !data.laserScanRaw().isEmpty() &&
!data.laserScanRaw().localTransform().isNull())
{
if(!init(imuLocalTransform_, data.laserScanRaw().localTransform()))
{
UERROR("Failed to initialize LIO-SAM");
return t;
}
}
else
{
UDEBUG("LIO-SAM not yet initialized, waiting for IMU (have=%s) and lidar (need scan) local transforms...",
imuLocalTransform_.isNull() ? "no" : "yes");
return t;
}
}
if(data.laserScanRaw().isEmpty())
{
UERROR("LIO-SAM requires laser scans and the current input is empty. Aborting odometry update...");
return t;
}
else if(data.laserScanRaw().is2d())
{
UERROR("LIO-SAM requires 3D laser scans. Aborting odometry update...");
return t;
}
cv::Mat covariance = cv::Mat::eye(6, 6, CV_64FC1) * 9999;
if(!lost_)
{
const LaserScan & scan = data.laserScanRaw();
if(scan.format() != LaserScan::kXYZIRT)
{
UERROR("LIO-SAM requires a scan in format %s (got %s). "
"Populate the scan via util3d::laserScanFromPointCloud<PointXYZIRT>() "
"so that per-point ring and time fields are available.",
LaserScan::formatName(LaserScan::kXYZIRT).c_str(),
scan.formatName().c_str());
return t;
}
// Split the kXYZIRT scan into the three parallel buffers LIO-SAM expects.
const int numPoints = scan.size();
const int ringOffset = scan.getRingOffset();
const int timeOffset = scan.getTimeOffset();
pcl::PointCloud<pcl::PointXYZI>::Ptr laserCloudIn(new pcl::PointCloud<pcl::PointXYZI>);
laserCloudIn->reserve(numPoints);
std::vector<int> rings;
std::vector<float> times;
rings.reserve(numPoints);
times.reserve(numPoints);
for(int i=0; i<numPoints; ++i)
{
const int row = i / scan.data().cols;
const int col = i - row * scan.data().cols;
const float * ptr = scan.data().ptr<float>(row, col);
pcl::PointXYZI pt;
pt.x = ptr[0];
pt.y = ptr[1];
pt.z = ptr[2];
pt.intensity = ptr[3];
laserCloudIn->push_back(pt);
rings.push_back(static_cast<int>(ptr[ringOffset]));
times.push_back(ptr[timeOffset]);
}
UDEBUG("Scan split: %fs, points=%d", timer.ticks(), (int)laserCloudIn->size());
// Process scan. Retrieve the deskewed (motion-compensated) cloud
// produced by LIO-SAM's image projection stage so we can propagate
// it back into SensorData: otherwise downstream consumers such as
// loop closure registration would still see the raw pre-deskew scan.
Eigen::Affine3f poseOut;
Eigen::MatrixXd covOut;
pcl::PointCloud<pcl::PointXYZI>::Ptr deskewedCloud(new pcl::PointCloud<pcl::PointXYZI>);
bool ok = lioSam_->processScan(data.stamp(), laserCloudIn, rings, times, poseOut, covOut, deskewedCloud);
UDEBUG("LIO-SAM process: %fs", timer.ticks());
if(ok)
{
// Replace the raw scan on SensorData with LIO-SAM's deskewed
// cloud so downstream stages (loop closure registration in
// particular) use the motion-compensated points instead of
// the raw pre-deskew scan. The deskewed cloud is still in the
// lidar frame, so the existing localTransform/rangeMax apply.
if(deskewedCloud && !deskewedCloud->empty())
{
const LaserScan & rawScan = data.laserScanRaw();
LaserScan deskewedScan(
util3d::laserScanFromPointCloud(*deskewedCloud),
rawScan.maxPoints(),
rawScan.rangeMax(),
rawScan.localTransform());
data.setLaserScan(deskewedScan);
UDEBUG("Replaced raw scan with deskewed cloud (%d -> %d points)",
(int)laserCloudIn->size(), (int)deskewedCloud->size());
}
Transform pose = Transform::fromEigen3f(poseOut);
if(!pose.isNull())
{
covariance = cv::Mat::eye(6, 6, CV_64FC1);
covariance(cv::Range(0, 3), cv::Range(0, 3)) *= linVar_;
covariance(cv::Range(3, 6), cv::Range(3, 6)) *= angVar_;
t = lastPose_.inverse() * pose; // incremental
lastPose_ = pose;
const Transform & localTransform = data.laserScanRaw().localTransform();
if(!t.isNull() && !t.isIdentity() && !localTransform.isIdentity() && !localTransform.isNull())
{
// from laser frame to base frame
t = localTransform * t * localTransform.inverse();
}
if(info)
{
info->type = (int)kTypeLIOSAM;
if(covariance.cols == 6 && covariance.rows == 6 && covariance.type() == CV_64FC1)
{
info->reg.covariance = covariance;
}
if(this->isInfoDataFilled())
{
pcl::PointCloud<pcl::PointXYZI>::Ptr localMap = lioSam_->getLocalMap();
if(localMap && !localMap->empty())
{
info->localScanMapSize = localMap->size();
info->localScanMap = LaserScan(util3d::laserScanFromPointCloud(*localMap), 0, data.laserScanRaw().rangeMax(), data.laserScanRaw().localTransform());
}
UDEBUG("Fill info data: %fs", timer.ticks());
}
}
}
else
{
lost_ = true;
UWARN("LIO-SAM failed to register the latest scan, odometry should be reset.");
}
}
else
{
UDEBUG("LIO-SAM processScan returned false (may be initializing)");
}
}
UINFO("LIO-SAM odom update time = %fs, lost=%s", timerTotal.elapsed(), lost_ ? "true" : "false");
#else
UERROR("RTAB-Map is not built with LIO-SAM support! Select another odometry approach.");
#endif
return t;
}
} // namespace rtabmap

View File

@@ -1762,6 +1762,55 @@ LaserScan laserScanFromPointCloud(const pcl::PointCloud<pcl::PointXYZI> & cloud,
return laserScanFromPointCloud(cloud, pcl::IndicesPtr(), transform, filterNaNs);
}
LaserScan laserScanFromPointCloud(const pcl::PointCloud<rtabmap::PointXYZIRT> & cloud, const Transform & transform, bool filterNaNs)
{
return laserScanFromPointCloud(cloud, pcl::IndicesPtr(), transform, filterNaNs);
}
LaserScan laserScanFromPointCloud(const pcl::PointCloud<rtabmap::PointXYZIRT> & cloud, const pcl::IndicesPtr & indices, const Transform & transform, bool filterNaNs)
{
// Layout: [x, y, z, intensity, ring, time] (ring cast to float, values up to
// ~16M are exactly representable so all realistic laser line counts fit).
cv::Mat laserScan;
bool nullTransform = transform.isNull() || transform.isIdentity();
Eigen::Affine3f transform3f = transform.toEigen3f();
int oi = 0;
const int total = indices.get() ? (int)indices->size() : (int)cloud.size();
laserScan = cv::Mat(1, total, CV_32FC(6));
for(int i=0; i<total; ++i)
{
int index = indices.get() ? indices->at(i) : i;
const rtabmap::PointXYZIRT & src = cloud.at(index);
if(filterNaNs && !pcl::isFinite(src))
{
continue;
}
float * ptr = laserScan.ptr<float>(0, oi++);
if(!nullTransform)
{
pcl::PointXYZ pt(src.x, src.y, src.z);
pt = pcl::transformPoint(pt, transform3f);
ptr[0] = pt.x;
ptr[1] = pt.y;
ptr[2] = pt.z;
}
else
{
ptr[0] = src.x;
ptr[1] = src.y;
ptr[2] = src.z;
}
ptr[3] = src.intensity;
ptr[4] = static_cast<float>(src.ring);
ptr[5] = src.time;
}
if(oi == 0)
{
return LaserScan();
}
return LaserScan(laserScan(cv::Range::all(), cv::Range(0, oi)), 0, 0.0f, LaserScan::kXYZIRT);
}
LaserScan laserScanFromPointCloud(const pcl::PointCloud<pcl::PointXYZI> & cloud, const pcl::IndicesPtr & indices, const Transform & transform, bool filterNaNs)
{
cv::Mat laserScan;
@@ -2343,7 +2392,7 @@ pcl::PCLPointCloud2::Ptr laserScanToPointCloud2(const LaserScan & laserScan, con
{
pcl::toPCLPointCloud2(*laserScanToPointCloud(laserScan, transform), *cloud);
}
else if(laserScan.format() == LaserScan::kXYI || laserScan.format() == LaserScan::kXYZI || laserScan.format() == LaserScan::kXYZIT)
else if(laserScan.format() == LaserScan::kXYI || laserScan.format() == LaserScan::kXYZI || laserScan.format() == LaserScan::kXYZIT || laserScan.format() == LaserScan::kXYZIRT)
{
pcl::toPCLPointCloud2(*laserScanToPointCloudI(laserScan, transform), *cloud);
}
@@ -3807,9 +3856,11 @@ LaserScan deskew(
return LaserScan();
}
if(input.format() != LaserScan::kXYZIT)
if(!input.hasTime())
{
UERROR("input scan doesn't have \"time\" channel! Only format \"%s\" supported yet.", LaserScan::formatName(LaserScan::kXYZIT).c_str());
UERROR("input scan doesn't have a \"time\" channel! Supported formats: \"%s\", \"%s\".",
LaserScan::formatName(LaserScan::kXYZIT).c_str(),
LaserScan::formatName(LaserScan::kXYZIRT).c_str());
return LaserScan();
}
@@ -3865,7 +3916,14 @@ LaserScan deskew(
double stamp;
UTimer processingTime;
double scanTime = lastStamp - firstStamp;
cv::Mat output(1, input.size(), CV_32FC4); // XYZI - Dense
// Preserve ring when input carries it (kXYZIRT): the geometric channel is
// still meaningful after deskewing. Per-point time is zeroed because all
// points share the same pose after correction.
const bool preserveRing = input.hasRing();
const int offsetRing = input.getRingOffset();
const LaserScan::Format outputFormat = preserveRing ? LaserScan::kXYZIRT : LaserScan::kXYZI;
const int outputChannels = preserveRing ? 6 : 4;
cv::Mat output(1, input.size(), CV_32FC(outputChannels));
int offsetIntensity = input.getIntensityOffset();
bool isLocalTransformIdentity = input.localTransform().isIdentity();
Transform localTransformInv = input.localTransform().inverse();
@@ -3904,7 +3962,12 @@ LaserScan deskew(
dataPtr[0] = pt.x;
dataPtr[1] = pt.y;
dataPtr[2] = pt.z;
dataPtr[3] = input.data().ptr<float>(v, u)[offsetIntensity];
dataPtr[3] = inputPtr[offsetIntensity];
if(preserveRing)
{
dataPtr[4] = inputPtr[offsetRing];
dataPtr[5] = 0.0f;
}
}
}
}
@@ -3941,14 +4004,19 @@ LaserScan deskew(
dataPtr[0] = pt.x;
dataPtr[1] = pt.y;
dataPtr[2] = pt.z;
dataPtr[3] = input.data().ptr<float>(v, u)[offsetIntensity];
dataPtr[3] = inputPtr[offsetIntensity];
if(preserveRing)
{
dataPtr[4] = inputPtr[offsetRing];
dataPtr[5] = 0.0f;
}
}
}
}
}
output = cv::Mat(output, cv::Range::all(), cv::Range(0, oi));
UDEBUG("Lidar deskewing time=%fs", processingTime.elapsed());
return LaserScan(output, input.maxPoints(), input.rangeMax(), LaserScan::kXYZI, input.localTransform());
return LaserScan(output, input.maxPoints(), input.rangeMax(), outputFormat, input.localTransform());
}