FHWS/YASMIN
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updated sensors and filter to current code version

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removed KLib stuff
added new activity
filter is uncommand!
at the moment, the app is not able to load new maps and breaks using old maps
This commit is contained in:
toni
2018-07-12 18:39:27 +02:00
parent b4a1a3d969
commit 625f5fe04d
22 changed files with 325 additions and 261 deletions
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39
nav/grid/Filter.h
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@@ -1,13 +1,18 @@
#ifndef FILTER_H
#define FILTER_H
#include <KLib/math/filter/particles/ParticleFilter.h>
#include <Indoor/smc/Particle.h>
#include <Indoor/smc/filtering/ParticleFilter.h>
#include <Indoor/smc/filtering/ParticleFilterInitializer.h>
#include <KLib/math/filter/particles/estimation/ParticleFilterEstimationWeightedAverage.h>
#include <KLib/math/filter/particles/estimation/ParticleFilterEstimationOrderedWeightedAverage.h>
#include <Indoor/smc/filtering/resampling/ParticleFilterResamplingSimple.h>
#include <Indoor/smc/filtering/resampling/ParticleFilterResamplingKLD.h>
#include <Indoor/smc/filtering/resampling/ParticleFilterResamplingSimpleImpoverishment.h>
#include <KLib/math/filter/particles/resampling/ParticleFilterResamplingSimple.h>
#include <KLib/math/filter/particles/resampling/ParticleFilterResamplingPercent.h>
#include <Indoor/smc/filtering/estimation/ParticleFilterEstimationBoxKDE.h>
#include <Indoor/smc/filtering/estimation/ParticleFilterEstimationWeightedAverage.h>
#include <Indoor/smc/filtering/estimation/ParticleFilterEstimationMax.h>
#include <Indoor/smc/filtering/estimation/ParticleFilterEstimationOrderedWeightedAverage.h>
#include <Indoor/sensors/radio/WiFiProbabilityFree.h>
#include <Indoor/sensors/radio/model/WiFiModelLogDistCeiling.h>
@@ -31,7 +36,7 @@
namespace GridBased {
class PFInit : public K::ParticleFilterInitializer<MyState> {
class PFInit : public SMC::ParticleFilterInitializer<MyState> {
private:
@@ -43,14 +48,14 @@ namespace GridBased {
}
virtual void initialize(std::vector<K::Particle<MyState>>& particles) override {
virtual void initialize(std::vector<SMC::Particle<MyState>>& particles) override {
std::minstd_rand gen;
std::uniform_int_distribution<int> distIdx(0, grid->getNumNodes()-1);
std::uniform_real_distribution<float> distHead(0, 2*M_PI);
for (K::Particle<MyState>& p : particles) {
for (SMC::Particle<MyState>& p : particles) {
const int idx = distIdx(gen);
const MyGridNode& node = (*grid)[idx];
p.state.position = node; // random position
@@ -59,7 +64,7 @@ namespace GridBased {
}
// // fix position + heading
// for (K::Particle<MyState>& p : particles) {
// for (SMC::Particle<MyState>& p : particles) {
//// const int idx = 9000;
//// const MyGridNode& node = (*grid)[idx];
// const MyGridNode& node = grid->getNodeFor(GridPoint(2000, 2000, 0)); // center of the testmap
@@ -71,7 +76,7 @@ namespace GridBased {
};
class PFTrans : public K::ParticleFilterTransition<MyState, MyControl> {
class PFTrans : public SMC::ParticleFilterTransition<MyState, MyControl> {
public:
@@ -110,7 +115,7 @@ namespace GridBased {
void transition(std::vector<K::Particle<MyState>>& particles, const MyControl* _ctrl) override {
void transition(std::vector<SMC::Particle<MyState>>& particles, const MyControl* _ctrl) override {
// local copy!! observation might be changed async outside!! (will really produces crashes!)
this->ctrl = *_ctrl;
@@ -121,14 +126,14 @@ namespace GridBased {
// sanity check
Assert::equal((int)particles.size(), Settings::numParticles, "number of particles does not match the settings!");
//for (K::Particle<MyState>& p : particles) {
//for (SMC::Particle<MyState>& p : particles) {
#pragma omp parallel for num_threads(3)
for (int i = 0; i < Settings::numParticles; ++i) {
//#pragma omp atomic
const float dist_m = std::abs(ctrl.numStepsSinceLastTransition * Settings::IMU::stepLength + noise(gen));
K::Particle<MyState>& p = particles[i];
SMC::Particle<MyState>& p = particles[i];
double prob;
p.state = walker.getDestination(*grid, p.state, dist_m, prob);
@@ -147,7 +152,7 @@ namespace GridBased {
};
class PFEval : public K::ParticleFilterEvaluation<MyState, MyObservation> {
class PFEval : public SMC::ParticleFilterEvaluation<MyState, MyObservation> {
Grid<MyGridNode>* grid;
@@ -170,7 +175,7 @@ namespace GridBased {
}
double getStairProb(const K::Particle<MyState>& p, const Activity act) {
double getStairProb(const SMC::Particle<MyState>& p, const Activity act) {
const float kappa = 0.75;
@@ -195,7 +200,7 @@ namespace GridBased {
}
double evaluation(std::vector<K::Particle<MyState>>& particles, const MyObservation& _observation) override {
double evaluation(std::vector<SMC::Particle<MyState>>& particles, const MyObservation& _observation) override {
double sum = 0;
@@ -215,7 +220,7 @@ namespace GridBased {
#pragma omp parallel for num_threads(3)
for (int i = 0; i < Settings::numParticles; ++i) {
K::Particle<MyState>& p = particles[i];
SMC::Particle<MyState>& p = particles[i];
// WiFi free
//const double pWiFi = wiFiProbability.getProbability(p.state.position.inMeter()+person, observation.currentTime, vg.group(observation.wifi));