added smoothing files
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toni
378
code/eval/SmoothingEvalBase.h
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378
code/eval/SmoothingEvalBase.h
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#ifndef SMOOTHINGEVALBASE_H
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#define SMOOTHINGEVALBASE_H
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#include "../Settings.h"
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#include "../Helper.h"
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#include "../Vis.h"
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#include <KLib/math/filter/particles/ParticleFilter.h>
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#include <KLib/math/filter/particles/ParticleFilterHistory.h>
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#include <KLib/math/filter/smoothing/BackwardSimulation.h>
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#include <KLib/math/statistics/Statistics.h>
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#include "GroundTruthWay.h"
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#include "../particles/MyState.h"
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#include "../particles/MyObservation.h"
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#include "../particles/MyEvaluation.h"
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#include "../particles/MyTransition.h"
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#include "../particles/MyInitializer.h"
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#include "../particles/smoothing/MySmoothingTransition.h"
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#include "../particles/smoothing/MySmoothingTransitionSimple.h"
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#include "../reader/SensorReader.h"
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#include "../reader/SensorReaderStep.h"
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#include "../reader/SensorReaderTurn.h"
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#include "../lukas/TurnObservation.h"
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#include "../lukas/StepObservation.h"
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#include "../toni/BarometerSensorReader.h"
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#include "../frank/WiFiSensorReader.h"
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#include "../frank/BeaconSensorReader.h"
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#include "../frank/OrientationSensorReader.h"
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static int smoothing_time_delay = 0;
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class SmoothingEvalBase {
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protected:
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Grid<MyGridNode> grid;
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Helper::FHWSFloors floors;
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Vis vis;
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K::ParticleFilterHistory<MyState, MyControl, MyObservation>* pf;
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K::BackwardFilter<MyState>* bf;
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SensorReader* sr;
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SensorReaderTurn* srt;
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SensorReaderStep* srs;
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std::string runName;
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GroundTruthWay gtw;
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// OLD
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//std::vector<int> way0 = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 2, 1, 0};
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//std::vector<int> way1 = {29, 28, 27, 26, 25, 24, 23, 22, 21, 20, 13, 14, 15, 16, 17, 18, 19, 2, 1, 0};
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//std::vector<int> way2 = {29, 28, 27, 10, 9, 8, 7, 6, 5, 4, 3, 2, 1, 0, 1, 2, 19, 18, 17, 16, 15, 14, 13, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29};
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// NEW
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std::vector<int> path1 = {29, 28,27,26,255,25,24,23,22,21,20};
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std::vector<int> path1dbl = {29, 29, 28,27,26,255,25,24,23,22,21,20};
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std::vector<int> path2 = {19, 18, 17, 16, 15, 14, 13, 12, 11, 10, 9, 8, 23, 7, 6};
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std::vector<int> path2dbl = {19, 19, 18, 17, 16, 15, 14, 13, 12, 11, 10, 9, 8, 23, 7, 6};
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std::vector<int> path3 = {5, 27, 26, 255, 25, 4, 3, 2, 215, 1, 0, 30, 31};
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std::vector<int> path3dbl = {5, 5, 27, 26, 255, 25, 4, 3, 2, 215, 1, 0, 30, 31};
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std::vector<int> path4 = {29, 28, 27, 32, 33, 34, 35, 36, 10, 9, 8, 22, 37, 38, 39, 40, 41, 42, 43, 44};
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std::vector<int> path4dbl = {29, 29, 28, 27, 32, 33, 34, 35, 36, 10, 9, 8, 22, 37, 38, 39, 40, 41, 42, 43, 44}; // duplicate 1st waypoint!
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public:
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SmoothingEvalBase() : grid(MiscSettings::gridSize_cm), floors(Helper::getFloors(grid)) {
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// build the grid
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Helper::buildTheGrid(grid, floors);
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// setup the visualisation
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vis.addFloor(floors.f0, floors.h0);
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vis.addFloor(floors.f1, floors.h1);
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vis.addFloor(floors.f2, floors.h2);
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vis.addFloor(floors.f3, floors.h3);
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vis.floors.setColorHex("#666666");
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vis.groundTruth.setCustomAttr("dashtype 3");
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vis.groundTruth.setColorHex("#009900");
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vis.gp << "unset cbrange\n";
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}
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static GridPoint conv(const Point3& p) {
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return GridPoint(p.x, p.y, p.z);
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}
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GroundTruthWay getGroundTruthWay(SensorReader& sr, const std::unordered_map<int, Point3>& waypoints, std::vector<int> ids) {
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// construct the ground-truth-path by using all contained waypoint ids
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std::vector<Point3> path;
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for (int id : ids) {
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auto it = waypoints.find(id);
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if(it == waypoints.end()) {throw "not found";}
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path.push_back(it->second);
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}
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// new created the timed path
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GroundTruthWay gtw;
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int i = 0;
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while (sr.hasNext()) {
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const SensorEntry se = sr.getNext();
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if (se.data.empty()) {continue;} // why necessary??
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if (se.idx == 99) {
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gtw.add(se.ts, path[i]);
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++i;
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}
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}
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// ensure the sensor-data contained usable timestamps for the ground-truth mapping
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assert(i>0);
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sr.rewind();
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return gtw;
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}
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void run() {
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// sensor numbers
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const int s_wifi = 8; const int s_beacons = 9; const int s_barometer = 5; const int s_orientation = 6;
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//const int s_linearAcceleration = 2;
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std::list<TurnObservation> turn_observations;
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std::list<StepObservation> step_observations;
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//Create an BarometerSensorReader
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BarometerSensorReader baroSensorReader;
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//Read all turn Observations
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while(srt->hasNext()) {
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SensorEntryTurn set = srt->getNext();
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TurnObservation to;
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to.ts = set.ts;
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to.delta_heading = set.delta_heading;
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to.delta_motion = set.delta_motion;
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turn_observations.push_back(to);
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}
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//Step Observations
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while(srs->hasNext()) {
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SensorEntryStep ses = srs->getNext();
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StepObservation so;
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so.ts = ses.ts;
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step_observations.push_back(so);
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}
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// the to-be-evaluated observation
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MyObservation obs;
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obs.step = new StepObservation(); obs.step->steps = 0;
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obs.turn = new TurnObservation(); obs.turn->delta_heading = 0; obs.turn->delta_motion = 0;
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// control data
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MyControl ctrl;
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//History of all estimated particles. Used for smoothing
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std::vector<std::vector<K::Particle<MyState>>> pfHistory;
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std::vector<Point3> smoothedEst;
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std::vector<uint64_t> tsHistory;
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std::vector<Point3> pathEst;
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uint64_t lastTransitionTS = 0;
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int64_t start_time = -1;
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K::Statistics<double> stats;
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int cnt = 0;
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//stats file
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std::ofstream statsout("/tmp/unsmoothed_" + runName + ".stats");
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// process each single sensor reading
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while(sr->hasNext()) {
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// get the next sensor reading from the CSV
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const SensorEntry se = sr->getNext();
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//start_time needed for time calculation of steps and turns
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obs.latestSensorDataTS = se.ts;
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if (start_time == -1) {start_time = se.ts;}
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int64_t current_time = se.ts - start_time;
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switch(se.idx) {
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case s_wifi: {
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obs.wifi = WiFiSensorReader::readWifi(se);
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break;
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}
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case s_beacons: {
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BeaconObservationEntry boe = BeaconSensorReader::getBeacon(se);
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if (!boe.mac.empty()) {
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obs.beacons.entries.push_back(boe);
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} // add the observed beacon
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obs.beacons.removeOld(obs.latestSensorDataTS);
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break;
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}
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case s_barometer: {
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obs.barometer = baroSensorReader.readBarometer(se);
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break;
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}
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// case s_linearAcceleration:{
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// baroSensorReader.readVerticalAcceleration(se);
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// break;
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// }
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case s_orientation: {
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obs.orientation = OrientationSensorReader::read(se);
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break;
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}
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}
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// process all occurred turns
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while (!step_observations.empty() && current_time > step_observations.front().ts) {
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const StepObservation _so = step_observations.front(); step_observations.pop_front(); (void) _so;
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obs.step->steps++;
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ctrl.walked_m = obs.step->steps * 0.71;
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}
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// process all occurred steps
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while (!turn_observations.empty() && current_time > turn_observations.front().ts) {
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const TurnObservation _to = turn_observations.front(); turn_observations.pop_front();
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obs.turn->delta_heading += _to.delta_heading;
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obs.turn->delta_motion += _to.delta_motion;
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ctrl.headingChange_rad = Angle::degToRad(obs.turn->delta_heading);
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}
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// time for a transition?
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if (se.ts - lastTransitionTS > MiscSettings::timeSteps) {
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lastTransitionTS = se.ts;
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// timed updates
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((MyTransition*)pf->getTransition())->setCurrentTime(lastTransitionTS);
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// update the particle filter (transition + eval), estimate a new current position and add it to the estimated path
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const MyState est = pf->update(&ctrl, obs);
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const Point3 curEst = est.pCur;
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// error calculation. compare ground-truth to estimation
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const int offset = 750;
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const Point3 curGT = gtw.getPosAtTime(se.ts - offset);
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const Point3 diff = curEst - curGT;
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// skip the first 10 scans due to uniform distribution start
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if (++cnt > 10) {
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pathEst.push_back(curEst);
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const float err = diff.length();
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stats.add(err);
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std::cout << stats.asString() << std::endl;
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//save the current estimation for later smoothing.
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pfHistory.push_back(pf->getNonResamplingParticles());
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tsHistory.push_back(se.ts);
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}
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// plot
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vis.clearStates();
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for (int i = 0; i < (int) pf->getParticles().size(); i+=15) {
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const K::Particle<MyState>& p = pf->getParticles()[i];
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vis.addState(p.state.walkState);
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}
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vis.setTimestamp(se.ts);
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vis.addGroundTruth(gtw);
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vis.addEstPath(pathEst);
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vis.setEstAndShould(curEst, curGT);
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if (obs.barometer != nullptr) {
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vis.gp << "set label 112 'baro: " << obs.barometer->hpa << "' at screen 0.1,0.2\n";
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}
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vis.gp << "set label 111 '" <<ctrl.walked_m << ":" << ctrl.headingChange_rad << "' at screen 0.1,0.1\n";
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//vis.gp << "set label 111 '" <<ctrl.walked_m << ":" << obs.orientation.values[0] << "' at screen 0.1,0.1\n";
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Point2 p1(0.1, 0.1);
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Point2 p2 = p1 + Angle::getPointer(ctrl.headingChange_rad) * 0.05;
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//Point2 p2 = p1 + Angle::getPointer(obs.orientation.values[0]) * 0.05;
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vis.gp << "set arrow 999 from screen " << p1.x<<","<<p1.y << " to screen " << p2.x<<","<<p2.y<<"\n";
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vis.show();
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// prevent gnuplot errors
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usleep(1000*33);
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}
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}
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statsout.close();
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// Smoothing Part starts here
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// ========================= //
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//File
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std::ofstream statsout2("/tmp/smoothed_" + runName + ".stats");
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stats.reset();
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for(int i = pfHistory.size() - 1; i > 0; i -= smoothing_time_delay){
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//Set time
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((MySmoothingTransitionSimple*)bf->getTransition())->setCurrentTime(tsHistory[i]);
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const MyState estBF = bf->update(pfHistory[i]);
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const Point3 curSmoothedEst = estBF.pCur;
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smoothedEst.push_back(curSmoothedEst);
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// error calculation. compare ground-truth to estimation
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const Point3 curGTSmoothed = gtw.getPosAtTime(tsHistory[i]);
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const Point3 diffSmoothed = curSmoothedEst - curGTSmoothed;
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const float errSmoothed = diffSmoothed.length();
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stats.add(errSmoothed);
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std::cout << stats.asString() << std::endl;
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// plot
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vis.clearStates();
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for (int j = 0; j < (int) bf->getbackwardParticles().back().size(); j+=15) {
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const K::Particle<MyState>& p = bf->getbackwardParticles().back()[j];
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vis.addState(p.state.walkState);
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}
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vis.setTimestamp(tsHistory[i]);
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vis.addGroundTruth(gtw);
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vis.addEstPath(smoothedEst);
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vis.setEstAndShould(curSmoothedEst, curGTSmoothed);
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if (obs.barometer != nullptr) {
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vis.gp << "set label 112 'baro: " << obs.barometer->hpa << "' at screen 0.1,0.2\n";
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}
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vis.gp << "set label 111 '" <<ctrl.walked_m << ":" << ctrl.headingChange_rad << "' at screen 0.1,0.1\n";
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//vis.gp << "set label 111 '" <<ctrl.walked_m << ":" << obs.orientation.values[0] << "' at screen 0.1,0.1\n";
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Point2 p1(0.1, 0.1);
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Point2 p2 = p1 + Angle::getPointer(ctrl.headingChange_rad) * 0.05;
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//Point2 p2 = p1 + Angle::getPointer(obs.orientation.values[0]) * 0.05;
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vis.gp << "set arrow 999 from screen " << p1.x<<","<<p1.y << " to screen " << p2.x<<","<<p2.y<<"\n";
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vis.show();
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// prevent gnuplot errors
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usleep(1000*33);
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}
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statsout2.close();
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}
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};
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#endif // EVALBASE_H
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