CICPCriteriaNRD_impl.h

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/* +------------------------------------------------------------------------+
   |                     Mobile Robot Programming Toolkit (MRPT)            |
   |                          http://www.mrpt.org/                          |
   |                                                                        |
   | Copyright (c) 2005-2018, Individual contributors, see AUTHORS file     |
   | See: http://www.mrpt.org/Authors - All rights reserved.                |
   | Released under BSD License. See details in http://www.mrpt.org/License |
   +------------------------------------------------------------------------+ */

#ifndef CICPCRITERIANRD_IMPL_H
#define CICPCRITERIANRD_IMPL_H

namespace mrpt::graphslam::deciders
{
// Ctors, Dtors
//////////////////////////////////////////////////////////////

template <class GRAPH_T>
CICPCriteriaNRD<GRAPH_T>::CICPCriteriaNRD()
    : params(*this)  // pass reference to self when initializing the parameters
// m_mahal_distance_ICP_odom("Mahalanobis dist (ICP - odom)")
{
    using namespace mrpt::math;
    this->initializeLoggers("CICPCriteriaNRD");

    m_is_using_3DScan = false;

    m_use_angle_difference_node_reg = true;
    m_use_distance_node_reg = true;
    this->resetPDF(&m_latest_odometry_PDF);

    // m_mahal_distance_ICP_odom.resizeWindow(1000); // use the last X
    // mahalanobis distance values

    m_times_used_ICP = 0;
    m_times_used_odom = 0;

    this->logFmt(mrpt::system::LVL_DEBUG, "Initialized class object");
}
template <class GRAPH_T>
CICPCriteriaNRD<GRAPH_T>::~CICPCriteriaNRD()
{
}

template <class GRAPH_T>
bool CICPCriteriaNRD<GRAPH_T>::updateState(
    mrpt::obs::CActionCollection::Ptr action,
    mrpt::obs::CSensoryFrame::Ptr observations,
    mrpt::obs::CObservation::Ptr observation)
{
    MRPT_START;
    MRPT_UNUSED_PARAM(action);
    this->m_time_logger.enter("updateState");

    using namespace mrpt::obs;
    using namespace mrpt::poses;

    bool registered_new_node = false;

    if (observation)
    {  // Observation-Only Rawlog
        // delegate the action to the method responsible
        if (IS_CLASS(observation, CObservation2DRangeScan))
        {  // 2D
            mrpt::obs::CObservation2DRangeScan::Ptr curr_laser_scan =
                std::dynamic_pointer_cast<CObservation2DRangeScan>(observation);
            registered_new_node = updateState2D(curr_laser_scan);
        }
        else if (IS_CLASS(observation, CObservation3DRangeScan))
        {  // 3D
            CObservation3DRangeScan::Ptr curr_laser_scan =
                std::dynamic_pointer_cast<CObservation3DRangeScan>(observation);
            registered_new_node = updateState3D(curr_laser_scan);
        }
        else if (IS_CLASS(observation, CObservationOdometry))
        {  // odometry
            // if it exists use the odometry information to reject wrong ICP
            // matches
            CObservationOdometry::Ptr obs_odometry =
                std::dynamic_pointer_cast<CObservationOdometry>(observation);

            // not incremental - gives the absolute odometry reading - no InfMat
            // either
            m_curr_odometry_only_pose = obs_odometry->odometry;
            m_latest_odometry_PDF.mean =
                m_curr_odometry_only_pose - m_last_odometry_only_pose;
        }
    }
    else
    {  // action-observations rawlog
        // Action part
        if (action->getBestMovementEstimation())
        {
            // if it exists use the odometry information to reject wrong ICP
            // matches
            CActionRobotMovement2D::Ptr robot_move =
                action->getBestMovementEstimation();
            CPosePDF::Ptr increment = robot_move->poseChange.get_ptr();
            CPosePDFGaussianInf increment_gaussian;
            increment_gaussian.copyFrom(*increment);
            m_latest_odometry_PDF += increment_gaussian;
        }

        // observations part
        if (observations->getObservationByClass<CObservation2DRangeScan>())
        {  // 2D
            CObservation2DRangeScan::Ptr curr_laser_scan =
                observations->getObservationByClass<CObservation2DRangeScan>();
            registered_new_node = updateState2D(curr_laser_scan);
        }
        else if (observations->getObservationByClass<CObservation3DRangeScan>())
        {  // 3D - EXPERIMENTAL, has not been tested
            CObservation3DRangeScan::Ptr curr_laser_scan =
                observations->getObservationByClass<CObservation3DRangeScan>();
            registered_new_node = updateState3D(curr_laser_scan);
        }
    }

    this->m_time_logger.leave("updateState");
    return registered_new_node;

    MRPT_END;
}  // end of updateState

template <class GRAPH_T>
bool CICPCriteriaNRD<GRAPH_T>::updateState2D(
    mrpt::obs::CObservation2DRangeScan::Ptr scan2d)
{
    MRPT_START;
    bool registered_new_node = false;

    m_curr_laser_scan2D = scan2d;
    if (!m_last_laser_scan2D)
    {
        // initialize the last_laser_scan here - afterwards updated inside the
        // checkRegistrationCondition*D method
        m_last_laser_scan2D = m_curr_laser_scan2D;
    }
    else
    {
        registered_new_node = checkRegistrationCondition2D();
    }

    return registered_new_node;
    MRPT_END;
}  // end of updateState2D

template <class GRAPH_T>
bool CICPCriteriaNRD<GRAPH_T>::checkRegistrationCondition2D()
{
    MRPT_START;

    using namespace mrpt::math;

    bool registered_new_node = false;

    // Constraint that *may* update incrementally the m_since_prev_node_PDF.
    constraint_t rel_edge;
    mrpt::slam::CICP::TReturnInfo icp_info;

    this->getICPEdge(
        *m_last_laser_scan2D, *m_curr_laser_scan2D, &rel_edge, nullptr,
        &icp_info);

    // Debugging directives
    MRPT_LOG_DEBUG(">>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>");
    MRPT_LOG_DEBUG_FMT(
        "ICP Alignment operation:\tnIterations: %d\tgoodness: %.f\n",
        icp_info.nIterations, icp_info.goodness);
    MRPT_LOG_DEBUG_FMT(
        "Current ICP constraint: \n\tEdge: %s\n\tNorm: %f",
        rel_edge.getMeanVal().asString().c_str(), rel_edge.getMeanVal().norm());
    MRPT_LOG_DEBUG_FMT(
        "Corresponding Odometry constraint: \n\tEdge: %s\n\tNorm: %f",
        m_latest_odometry_PDF.getMeanVal().asString().c_str(),
        m_latest_odometry_PDF.getMeanVal().norm());

    // evaluate the mahalanobis distance of the above..
    // If over an (adaptive) threshold, trust the odometry
    double mahal_distance =
        rel_edge.mahalanobisDistanceTo(m_latest_odometry_PDF);
    // m_mahal_distance_ICP_odom.addNewMeasurement(mahal_distance);

    // TODO - Find out a proper criterion
    // How do I filter out the "bad" 2DRangeScans?
    // double mahal_distance_lim = m_mahal_distance_ICP_odom.getMedian();
    // double mahal_distance_lim = m_mahal_distance_ICP_odom.getMean();
    // double mahal_distance_lim =
    // m_mahal_distance_ICP_odom.getMean() +
    // m_mahal_distance_ICP_odom.getStdDev();
    double mahal_distance_lim = 0.18;  // visual introspection

    //
    // check whether to use ICP or odometry Edge.
    //
    // if the norm of the odometry edge is 0, no odometry edge available
    // => use ICP
    if (mahal_distance < mahal_distance_lim ||
        m_latest_odometry_PDF.getMeanVal().norm() == 0)
    {
        MRPT_LOG_DEBUG("Using ICP Edge");
        m_times_used_ICP++;
    }
    else
    {
        MRPT_LOG_DEBUG("Using Odometry Edge");
        rel_edge.copyFrom(m_latest_odometry_PDF);
        m_times_used_odom++;
    }
    MRPT_LOG_DEBUG_FMT("\tMahalanobis Distance = %f", mahal_distance);
    MRPT_LOG_DEBUG_FMT(
        "Times that the ICP Edge was used: %d/%d", m_times_used_ICP,
        m_times_used_ICP + m_times_used_odom);

    // update the PDF until last registered node
    this->m_since_prev_node_PDF += rel_edge;
    m_last_laser_scan2D = m_curr_laser_scan2D;
    registered_new_node = this->checkRegistrationCondition();

    // reset the odometry tracking as well.
    m_last_odometry_only_pose = m_curr_odometry_only_pose;
    this->resetPDF(&m_latest_odometry_PDF);

    MRPT_LOG_DEBUG("<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<");
    return registered_new_node;
    MRPT_END;
}  // end of checkRegistrationCondition2D

template <class GRAPH_T>
bool CICPCriteriaNRD<GRAPH_T>::updateState3D(
    mrpt::obs::CObservation3DRangeScan::Ptr scan3d)
{
    THROW_EXCEPTION("Not yet implemented.");
    return false;
}  // end of updateState3D

template <class GRAPH_T>
bool CICPCriteriaNRD<GRAPH_T>::checkRegistrationCondition3D()
{
    THROW_EXCEPTION("Not yet implemented.");
    return false;
}  // end of checkRegistrationCondition3D

template <class GRAPH_T>
bool CICPCriteriaNRD<GRAPH_T>::checkRegistrationCondition()
{
    MRPT_START;
    MRPT_LOG_DEBUG("In checkRegistrationCondition");
    using namespace mrpt::math;

    // Criterions for adding a new node
    // - Covered distance since last node > registration_max_distance
    // - Angle difference since last node > registration_max_angle

    bool angle_crit = false;
    if (m_use_angle_difference_node_reg)
    {
        angle_crit =
            fabs(wrapToPi(this->m_since_prev_node_PDF.getMeanVal().phi())) >
            params.registration_max_angle;
    }
    bool distance_crit = false;
    if (m_use_distance_node_reg)
    {
        distance_crit = this->m_since_prev_node_PDF.getMeanVal().norm() >
                        params.registration_max_distance;
    }

    // actual check
    bool registered = false;
    if (distance_crit || angle_crit)
    {
        registered = this->registerNewNodeAtEnd();
    }

    return registered;
    MRPT_END;
}  // end of checkRegistrationCondition

template <class GRAPH_T>
void CICPCriteriaNRD<GRAPH_T>::loadParams(const std::string& source_fname)
{
    MRPT_START;
    parent_t::loadParams(source_fname);

    params.loadFromConfigFileName(
        source_fname, "NodeRegistrationDeciderParameters");
    // m_mahal_distance_ICP_odom.loadFromConfigFileName(source_fname,
    //"NodeRegistrationDeciderParameters");

    // set the logging level if given by the user
    mrpt::config::CConfigFile source(source_fname);
    // Minimum verbosity level of the logger
    int min_verbosity_level = source.read_int(
        "NodeRegistrationDeciderParameters", "class_verbosity", 1, false);
    this->setMinLoggingLevel(mrpt::system::VerbosityLevel(min_verbosity_level));
    MRPT_LOG_DEBUG("Successfully loaded parameters.");
    MRPT_END;
}  // end of loadParams

template <class GRAPH_T>
void CICPCriteriaNRD<GRAPH_T>::printParams() const
{
    MRPT_START;
    parent_t::printParams();

    params.dumpToConsole();
    // m_mahal_distance_ICP_odom.dumpToConsole();

    MRPT_END;
}  // end of printParams

template <class GRAPH_T>
void CICPCriteriaNRD<GRAPH_T>::getDescriptiveReport(
    std::string* report_str) const
{
    MRPT_START;
    using namespace std;

    const std::string report_sep(2, '\n');
    const std::string header_sep(80, '#');

    // Report on graph
    stringstream class_props_ss;
    class_props_ss << "ICP Goodness-based Registration Procedure Summary: "
                   << std::endl;
    class_props_ss << header_sep << std::endl;

    // time and output logging
    const std::string time_res = this->m_time_logger.getStatsAsText();
    const std::string output_res = this->getLogAsString();

    // merge the individual reports
    report_str->clear();
    parent_t::getDescriptiveReport(report_str);

    *report_str += class_props_ss.str();
    *report_str += report_sep;

    // loggers results
    *report_str += time_res;
    *report_str += report_sep;

    *report_str += output_res;
    *report_str += report_sep;

    MRPT_END;
}  // end of getDescriptiveReport

// TParams
//////////////////////////////////////////////////////////////
template <class GRAPH_T>
CICPCriteriaNRD<GRAPH_T>::TParams::TParams(decider_t& d) : decider(d)
{
}
template <class GRAPH_T>
CICPCriteriaNRD<GRAPH_T>::TParams::~TParams()
{
}
template <class GRAPH_T>
void CICPCriteriaNRD<GRAPH_T>::TParams::dumpToTextStream(
    std::ostream& out) const
{
    MRPT_START;

    using namespace mrpt::math;

    out << mrpt::format(
        "------------------[ ICP Fixed Intervals Node Registration "
        "]------------------\n");
    out << mrpt::format(
        "Max distance for registration = %.2f m\n", registration_max_distance);
    out << mrpt::format(
        "Max Angle for registration    = %.2f deg\n",
        RAD2DEG(registration_max_angle));

    decider.range_ops_t::params.dumpToTextStream(out);

    MRPT_END;
}
template <class GRAPH_T>
void CICPCriteriaNRD<GRAPH_T>::TParams::loadFromConfigFile(
    const mrpt::config::CConfigFileBase& source, const std::string& section)
{
    MRPT_START;

    using namespace mrpt::math;

    registration_max_distance = source.read_double(
        section, "registration_max_distance", 0.5 /* meter */, false);
    registration_max_angle = source.read_double(
        section, "registration_max_angle", 10 /* degrees */, false);
    registration_max_angle = DEG2RAD(registration_max_angle);

    // load the icp parameters - from "ICP" section explicitly
    decider.range_ops_t::params.loadFromConfigFile(source, "ICP");

    MRPT_END;
}
}  // end of namespace

#endif /* end of include guard: CICPCRITERIANRD_IMPL_H */