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ModelEntry.cpp

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#include <blort/Tracker/ModelEntry.h>
#include <ros/console.h>


using namespace Tracking;

ModelEntry::ModelEntry()
: m_lpf_a(0.7f), m_lpf_t(0.7f), m_lpf_cs(0.2f), m_lpf_cl(0.99f)
{
        del_predictor = predictor = new Predictor();
        bfc = false;
        lock = false;
        mask_geometry_edges = false;
        num_convergence = 0;
        mask = 0;
}

ModelEntry::ModelEntry(const TomGine::tgModel& m)
: model(m), m_lpf_a(0.7f), m_lpf_t(0.7f), m_lpf_cs(0.2f), m_lpf_cl(0.99f)
{
        del_predictor = predictor = new Predictor();
        bfc = false;
        lock = false;
        mask_geometry_edges = false;
        num_convergence = 0;
        mask = 0;
}
        
ModelEntry::~ModelEntry()
{
        delete(del_predictor);
}

void ModelEntry::poseDiff(float &t, float &a)
{
        vec3 axis0, axis1;
        float angle0, angle1;
        
        pose.q.getAxisAngle(axis0, angle0);
        pose_prev.q.getAxisAngle(axis1, angle1);
        
        vec3 axis01 = axis0 - axis1;
        vec3 t01 = pose.t - pose_prev.t;
        
        a = (angle0-angle1);
        t = t01.length();
}

void ModelEntry::speed()
{
        static Timer s_timer;
        float dt = (float)s_timer.Update();
        
        float t,a;
        poseDiff(t,a);
        
        speed_angular = a/dt;
        speed_translational = t/dt;
}

void ModelEntry::filter_pose()
{
        lpf_pose.t.x = m_lpf_pose_tx.Process(pose.t.x);
        lpf_pose.t.y = m_lpf_pose_ty.Process(pose.t.y);
        lpf_pose.t.z = m_lpf_pose_tz.Process(pose.t.z);
        lpf_pose.q.x = m_lpf_pose_qx.Process(pose.q.x);
        lpf_pose.q.y = m_lpf_pose_qy.Process(pose.q.y);
        lpf_pose.q.z = m_lpf_pose_qz.Process(pose.q.z);
        lpf_pose.q.w = m_lpf_pose_qw.Process(pose.q.w);
}

void ModelEntry::setInitialPose(const TomGine::tgPose &p, float lpf_delay, float lpf_delay_z)
{
        initial_pose = p;
        initial_pose.c = pose.c;
        initial_pose.w = pose.w;
        m_lpf_pose_tx.Set(p.t.x, lpf_delay);
        m_lpf_pose_ty.Set(p.t.y, lpf_delay);
        m_lpf_pose_tz.Set(p.t.z, lpf_delay_z);
        m_lpf_pose_qx.Set(p.q.x, lpf_delay);
        m_lpf_pose_qy.Set(p.q.y, lpf_delay);
        m_lpf_pose_qz.Set(p.q.z, lpf_delay);
        m_lpf_pose_qw.Set(p.q.w, lpf_delay);
}

void ModelEntry::evaluate_states(const Particle &variation, unsigned rec,
                                 float c_th_base, float c_th_min, float c_th_fair,
                                 float c_mv_not, float c_mv_slow, float c_th_lost)
{
        
        if(lock){
                st_quality = ST_LOCKED;
                return;
        }
        
        speed();
        
        poseDiff(t,a);
        
        t_max = max(variation.t.x, max(variation.t.y, variation.t.z));
        a_max = max(variation.r.x, max(variation.r.y, variation.r.z));
        
        t = t/(t_max * rec);
        a = a/(a_max * rec);

        t = m_lpf_t.Process(t);
        a = m_lpf_a.Process(a);
        
        c_edge = m_lpf_cs.Process(this->confidence_edge);
        //ROS_INFO("c_edge: %f, this->confidence_edge: %f", c_edge, this->confidence_edge);
        
        abs_a = abs(a);
        abs_t = abs(t);
        
        c_th = c_th_base -  max(abs_a, abs_t);
        if(c_th < c_th_min) c_th = c_th_min;
        
        if(c_edge < c_th)
                c_lost = m_lpf_cl.Process(c_th - c_edge);
        else
                c_lost = m_lpf_cl.Process(0.0f);

        // Movement detection
        if( abs_a<c_mv_not && abs_t < c_mv_not )
                st_movement = ST_STILL;
        else if( abs_a<c_mv_slow && abs_t < c_mv_slow )
                st_movement = ST_SLOW;
        else
                st_movement = ST_FAST;
        
        if( c_lost > c_th_lost ){
                if( st_movement != ST_STILL && st_quality != ST_OCCLUDED)
                        st_quality = ST_LOST;
                else if( st_quality != ST_LOST)
                        st_quality = ST_OCCLUDED;
        }else if( st_quality != ST_LOST && st_quality != ST_OCCLUDED ){
                st_quality = ST_OK;
        }
        if( st_quality == ST_OCCLUDED && st_movement == ST_FAST )
                st_quality = ST_LOST;
        
        // Quality detection
        if( c_edge > c_th_base )
                st_confidence = ST_GOOD;
        else if( c_edge > c_th_fair )
                st_confidence = ST_FAIR;
        else
                st_confidence = ST_BAD;
                
        if( st_movement == ST_STILL && c_edge >= c_th_base ){
                st_quality = ST_OK;
        }
        
}

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blort
Author(s): Michael Zillich, Thomas Mörwald, Johann Prankl, Andreas Richtsfeld, Bence Magyar (ROS version)
autogenerated on Fri Mar 1 16:57:14 2013