MRPT Graph Slam 最小示例
MRPT Graph Slam Minimal Example
我正在尝试想出一种 "minimal" 方法 运行 使用 MRPT 的图形 slam 应用程序。传感器数据(LaserScan / Odometry)将由类似于 ROS 的自定义中间件提供。在广泛阅读文档和源代码(包括 MRPT 和 ROS 桥)之后,我想出了以下片段:
std::string config_file = "../../../laser_odometry.ini";
std::string rawlog_fname = "";
std::string fname_GT = "";
auto node_reg = mrpt::graphslam::deciders::CICPCriteriaNRD<mrpt::graphs::CNetworkOfPoses2DInf>{};
auto edge_reg = mrpt::graphslam::deciders::CICPCriteriaERD<mrpt::graphs::CNetworkOfPoses2DInf>{};
auto optimizer = mrpt::graphslam::optimizers::CLevMarqGSO<mrpt::graphs::CNetworkOfPoses2DInf>{};
auto win3d = mrpt::gui::CDisplayWindow3D{"Slam", 800, 600};
auto win_observer = mrpt::graphslam::CWindowObserver{};
auto win_manager = mrpt::graphslam::CWindowManager{&win3d, &win_observer};
auto engine = mrpt::graphslam::CGraphSlamEngine<mrpt::graphs::CNetworkOfPoses2DInf>{
config_file, rawlog_fname, fname_GT, &win_manager, &node_reg, &edge_reg, &optimizer};
for (size_t measurement_count = 0;;) {
// grab laser scan from the network, then fill it (hardcoded values for now), e.g:
auto scan_ptr = mrpt::obs::CObservation2DRangeScan::Create();
scan_ptr->timestamp = std::chrono::system_clock::now().time_since_epoch().count();
scan_ptr->rightToLeft = true;
scan_ptr->sensorLabel = "";
scan_ptr->aperture = 3.14; // rad (max-min)
scan_ptr->maxRange = 3.0; // m
scan_ptr->sensorPose = mrpt::poses::CPose3D{};
scan_ptr->resizeScan(30);
for (int i = 0; i < 30; ++i) {
scan_ptr->setScanRange(i, 0.5);
scan_ptr->setScanRangeValidity(i, true);
}
{ // Send LaserScan measurement to the slam engine
auto obs_ptr = std::dynamic_pointer_cast<mrpt::obs::CObservation>(scan_ptr);
engine.execGraphSlamStep(obs_ptr, measurement_count);
++measurement_count;
}
// grab odometry from the network, then fill it (hardcoded values for now), e.g:
auto odometry_ptr = mrpt::obs::CObservationOdometry::Create();
odometry_ptr->timestamp = std::chrono::system_clock::now().time_since_epoch().count();
odometry_ptr->hasVelocities = false;
odometry_ptr->odometry.x(0);
odometry_ptr->odometry.y(0);
odometry_ptr->odometry.phi(0);
{ // Send Odometry measurement to the slam engine
auto obs_ptr = std::dynamic_pointer_cast<mrpt::obs::CObservation>(odometry_ptr);
engine.execGraphSlamStep(obs_ptr, measurement_count);
++measurement_count;
}
// Get pose estimation from the engine
auto pose = engine.getCurrentRobotPosEstimation();
}
我的方向对吗?我错过了什么吗?
嗯,乍一看脚本似乎不错,您在两个不同的步骤中以观察形式提供里程计和激光扫描。
小注
自动 node_reg = mrpt::graphslam::deciders::CICPCriteriaNRD{};
如果您想 运行 使用里程计 + 激光扫描,请改用 CFixedIntervalsNRD。它经过了更好的测试,并且实际上利用了这些测量值。
目前在 MRPT 中没有最小的 graphslam-engine 示例,但这里是 运行ning graph-slam with datasets 的主要方法:
template <class GRAPH_T>
void CGraphSlamHandler<GRAPH_T>::execute()
{
using namespace mrpt::obs;
ASSERTDEB_(m_engine);
// Variables initialization
mrpt::io::CFileGZInputStream rawlog_stream(m_rawlog_fname);
CActionCollection::Ptr action;
CSensoryFrame::Ptr observations;
CObservation::Ptr observation;
size_t curr_rawlog_entry;
auto arch = mrpt::serialization::archiveFrom(rawlog_stream);
// Read the dataset and pass the measurements to CGraphSlamEngine
bool cont_exec = true;
while (CRawlog::getActionObservationPairOrObservation(
arch, action, observations, observation, curr_rawlog_entry) &&
cont_exec)
{
// actual call to the graphSLAM execution method
// Exit if user pressed C-c
cont_exec = m_engine->_execGraphSlamStep(
action, observations, observation, curr_rawlog_entry);
}
m_logger->logFmt(mrpt::system::LVL_WARN, "Finished graphslam execution.");
}
你基本上是抓取数据,然后通过 execGraphSlamStep 或 _execGraphSlamStep 方法将它们不断地提供给 CGraphSlamEngine。
这也是在相应的 ROS 包装器中处理测量值的相关片段,该包装器使用 ROS 主题的测量值进行操作:
template<class GRAPH_T>
void CGraphSlamHandler_ROS<GRAPH_T>::processObservation(
mrpt::obs::CObservation::Ptr& observ) {
this->_process(observ);
}
template<class GRAPH_T>
void CGraphSlamHandler_ROS<GRAPH_T>::_process(
mrpt::obs::CObservation::Ptr& observ) {
using namespace mrpt::utils;
if (!this->m_engine->isPaused()) {
this->m_engine->execGraphSlamStep(observ, m_measurement_cnt);
m_measurement_cnt++;
}
}
我正在尝试想出一种 "minimal" 方法 运行 使用 MRPT 的图形 slam 应用程序。传感器数据(LaserScan / Odometry)将由类似于 ROS 的自定义中间件提供。在广泛阅读文档和源代码(包括 MRPT 和 ROS 桥)之后,我想出了以下片段:
std::string config_file = "../../../laser_odometry.ini";
std::string rawlog_fname = "";
std::string fname_GT = "";
auto node_reg = mrpt::graphslam::deciders::CICPCriteriaNRD<mrpt::graphs::CNetworkOfPoses2DInf>{};
auto edge_reg = mrpt::graphslam::deciders::CICPCriteriaERD<mrpt::graphs::CNetworkOfPoses2DInf>{};
auto optimizer = mrpt::graphslam::optimizers::CLevMarqGSO<mrpt::graphs::CNetworkOfPoses2DInf>{};
auto win3d = mrpt::gui::CDisplayWindow3D{"Slam", 800, 600};
auto win_observer = mrpt::graphslam::CWindowObserver{};
auto win_manager = mrpt::graphslam::CWindowManager{&win3d, &win_observer};
auto engine = mrpt::graphslam::CGraphSlamEngine<mrpt::graphs::CNetworkOfPoses2DInf>{
config_file, rawlog_fname, fname_GT, &win_manager, &node_reg, &edge_reg, &optimizer};
for (size_t measurement_count = 0;;) {
// grab laser scan from the network, then fill it (hardcoded values for now), e.g:
auto scan_ptr = mrpt::obs::CObservation2DRangeScan::Create();
scan_ptr->timestamp = std::chrono::system_clock::now().time_since_epoch().count();
scan_ptr->rightToLeft = true;
scan_ptr->sensorLabel = "";
scan_ptr->aperture = 3.14; // rad (max-min)
scan_ptr->maxRange = 3.0; // m
scan_ptr->sensorPose = mrpt::poses::CPose3D{};
scan_ptr->resizeScan(30);
for (int i = 0; i < 30; ++i) {
scan_ptr->setScanRange(i, 0.5);
scan_ptr->setScanRangeValidity(i, true);
}
{ // Send LaserScan measurement to the slam engine
auto obs_ptr = std::dynamic_pointer_cast<mrpt::obs::CObservation>(scan_ptr);
engine.execGraphSlamStep(obs_ptr, measurement_count);
++measurement_count;
}
// grab odometry from the network, then fill it (hardcoded values for now), e.g:
auto odometry_ptr = mrpt::obs::CObservationOdometry::Create();
odometry_ptr->timestamp = std::chrono::system_clock::now().time_since_epoch().count();
odometry_ptr->hasVelocities = false;
odometry_ptr->odometry.x(0);
odometry_ptr->odometry.y(0);
odometry_ptr->odometry.phi(0);
{ // Send Odometry measurement to the slam engine
auto obs_ptr = std::dynamic_pointer_cast<mrpt::obs::CObservation>(odometry_ptr);
engine.execGraphSlamStep(obs_ptr, measurement_count);
++measurement_count;
}
// Get pose estimation from the engine
auto pose = engine.getCurrentRobotPosEstimation();
}
我的方向对吗?我错过了什么吗?
嗯,乍一看脚本似乎不错,您在两个不同的步骤中以观察形式提供里程计和激光扫描。
小注
自动 node_reg = mrpt::graphslam::deciders::CICPCriteriaNRD{};
如果您想 运行 使用里程计 + 激光扫描,请改用 CFixedIntervalsNRD。它经过了更好的测试,并且实际上利用了这些测量值。
目前在 MRPT 中没有最小的 graphslam-engine 示例,但这里是 运行ning graph-slam with datasets 的主要方法:
template <class GRAPH_T>
void CGraphSlamHandler<GRAPH_T>::execute()
{
using namespace mrpt::obs;
ASSERTDEB_(m_engine);
// Variables initialization
mrpt::io::CFileGZInputStream rawlog_stream(m_rawlog_fname);
CActionCollection::Ptr action;
CSensoryFrame::Ptr observations;
CObservation::Ptr observation;
size_t curr_rawlog_entry;
auto arch = mrpt::serialization::archiveFrom(rawlog_stream);
// Read the dataset and pass the measurements to CGraphSlamEngine
bool cont_exec = true;
while (CRawlog::getActionObservationPairOrObservation(
arch, action, observations, observation, curr_rawlog_entry) &&
cont_exec)
{
// actual call to the graphSLAM execution method
// Exit if user pressed C-c
cont_exec = m_engine->_execGraphSlamStep(
action, observations, observation, curr_rawlog_entry);
}
m_logger->logFmt(mrpt::system::LVL_WARN, "Finished graphslam execution.");
}
你基本上是抓取数据,然后通过 execGraphSlamStep 或 _execGraphSlamStep 方法将它们不断地提供给 CGraphSlamEngine。
这也是在相应的 ROS 包装器中处理测量值的相关片段,该包装器使用 ROS 主题的测量值进行操作:
template<class GRAPH_T>
void CGraphSlamHandler_ROS<GRAPH_T>::processObservation(
mrpt::obs::CObservation::Ptr& observ) {
this->_process(observ);
}
template<class GRAPH_T>
void CGraphSlamHandler_ROS<GRAPH_T>::_process(
mrpt::obs::CObservation::Ptr& observ) {
using namespace mrpt::utils;
if (!this->m_engine->isPaused()) {
this->m_engine->execGraphSlamStep(observ, m_measurement_cnt);
m_measurement_cnt++;
}
}