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FtmPrologic/code/filter.h

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#pragma once
#include "mesh.h"
#include "Settings.h"
#include <omp.h>
#include <Indoor/geo/Heading.h>
#include <Indoor/math/distribution/Uniform.h>
#include <Indoor/math/distribution/Normal.h>
//#include <Indoor/math/distribution/Region.h>
#include <Indoor/smc/Particle.h>
#include <Indoor/smc/filtering/ParticleFilter.h>
#include <Indoor/smc/filtering/ParticleFilterInitializer.h>
#include <Indoor/smc/filtering/resampling/ParticleFilterResamplingSimple.h>
#include <Indoor/smc/filtering/estimation/ParticleFilterEstimationWeightedAverage.h>
#include <Indoor/smc/filtering/estimation/ParticleFilterEstimationMax.h>
#include <Indoor/navMesh/walk/NavMeshWalkSimple.h>
//#include <Indoor/navMesh/walk/NavMeshWalkEval.h>
//#include <Indoor/navMesh/walk/NavMeshWalkWifi.h>
//#include <Indoor/navMesh/walk/NavMeshWalkWifiRegional.h>
//#include <Indoor/navMesh/walk/NavMeshWalkUnblockable.h>
//#include <Indoor/navMesh/walk/NavMeshWalkKLD.h>
//#include <Indoor/navMesh/walk/NavMeshWalkSinkOrSwim.h>
//#include <Indoor/navMesh/NavMeshRandom.h>
#include <Indoor/sensors/radio/model/LogDistanceModel.h>
#include <Indoor/sensors/radio/WiFiMeasurements.h>
#include <Indoor/data/Timestamp.h>
#include <Indoor/sensors/radio/WiFiProbabilityFree.h>
#include <Indoor/sensors/activity/ActivityDetector.h>
#include "FtmKalman.h"
struct MyState {
/** the state's position (within the mesh) */
MyNavMeshLocation pos;
/** the state's heading */
Heading heading;
MyState() : pos(), heading(0) {;}
MyState(Point3 p) : pos(p, nullptr), heading(0){;}
MyState& operator += (const MyState& o) {
pos.tria = nullptr; // impossible
pos.pos += o.pos.pos;
return *this;
}
MyState& operator /= (const double val) {
pos.tria = nullptr; // impossible
pos.pos /= val;
return *this;
}
MyState operator * (const double val) const {
MyState res;
res.pos.pos = pos.pos * val;
return res;
}
float getX(){
return pos.pos.x;
}
float getY() {
return pos.pos.y;
}
float getZ() {
return pos.pos.z;
}
float getBinValue(const int dim) const {
switch (dim) {
case 0: return this->pos.pos.x;
case 1: return this->pos.pos.y;
case 2: return this->pos.pos.z;
case 3: return this->heading.getRAD();
}
throw "cant find this value within the bin";
}
};
struct MyControl {
int numStepsSinceLastEval = 0;
float headingChangeSinceLastEval = 0;
void afterEval() {
numStepsSinceLastEval = 0;
headingChangeSinceLastEval = 0;
}
//wifi
std::map<MACAddress, WiFiMeasurement> wifi;
//time
Timestamp currentTime;
//last estimation
Point3 lastEstimate = Point3(26, 43, 7.5);
};
struct MyObservation {
// pressure
float sigmaPressure = 0.10f;
float relativePressure = 0;
//wifi
std::unordered_map<MACAddress, WiFiMeasurement> wifi;
//time
Timestamp currentTime;
//activity
Activity activity;
};
class MyPFInitUniform : public SMC::ParticleFilterInitializer<MyState> {
const MyNavMesh* mesh;
public:
MyPFInitUniform(const MyNavMesh* mesh) : mesh(mesh) {
;
}
virtual void initialize(std::vector<SMC::Particle<MyState>>& particles) override {
/** random position and heading within the mesh */
Distribution::Uniform<float> dHead(0, 2*M_PI);
MyNavMeshRandom rnd = mesh->getRandom();
for (SMC::Particle<MyState>& p : particles) {
p.state.pos = rnd.draw();
p.state.heading = dHead.draw();
p.weight = 1.0 / particles.size();
}
}
};
class MyPFInitFixed : public SMC::ParticleFilterInitializer<MyState> {
const MyNavMesh* mesh;
const Point3 pos;
public:
MyPFInitFixed(const MyNavMesh* mesh, const Point3 pos) : mesh(mesh), pos(pos) {
;
}
virtual void initialize(std::vector<SMC::Particle<MyState>>& particles) override {
/** random position and heading within the mesh */
Distribution::Uniform<float> dHead(0, 2*M_PI);
for (SMC::Particle<MyState>& p : particles) {
p.state.pos = mesh->getLocation(pos);
p.state.heading = 1.5*M_PI;// dHead.draw();
p.weight = 1.0 / particles.size();
}
}
};
class MyPFTransStatic : public SMC::ParticleFilterTransition<MyState, MyControl>{
void transition(std::vector<SMC::Particle<MyState>>& particles, const MyControl* control) override {
// nop
}
};
class MyPFTrans : public SMC::ParticleFilterTransition<MyState, MyControl> {
using MyNavMeshWalk = NM::NavMeshWalkSimple<MyNavMeshTriangle>;
//using MyNavMeshWalk = NM::NavMeshWalkWifiRegional<MyNavMeshTriangle>;
//using MyNavMeshWalk = NM::NavMeshWalkUnblockable<MyNavMeshTriangle>;
//using MyNavMeshWalk = NM::NavMeshWalkKLD<MyNavMeshTriangle>;
//using MyNavMeshWalk = NM::NavMeshWalkSinkOrSwim<MyNavMeshTriangle>;
MyNavMeshWalk walker;
const double lambda = 0.03;
public:
//std::vector<double> listRadiusSub;
MyPFTrans(MyNavMesh& mesh) :
walker(mesh) {
// how to evaluate drawn points
walker.addEvaluator(new NM::WalkEvalHeadingStartEndNormal<MyNavMeshTriangle>(0.04));
walker.addEvaluator(new NM::WalkEvalDistance<MyNavMeshTriangle>(0.1));
//walker.addEvaluator(new NM::WalkEvalApproachesTarget<MyNavMeshTriangle>(0.9)); // 90% for particles moving towards the target
}
void transition(std::vector<SMC::Particle<MyState>>& particles, const MyControl* control) override {
// walking and heading random
Distribution::Normal<float> dStepSizeFloor(0.60, 0.1);
Distribution::Normal<float> dStepSizeStair(0.35, 0.1);
Distribution::Normal<float> dHeading(0.0, 0.1);
#pragma omp parallel for num_threads(3)
for (int i = 0; i < particles.size(); ++i) {
SMC::Particle<MyState>& p = particles[i];
// how to walk
MyNavMeshWalkParams params;
params.heading = p.state.heading + control->headingChangeSinceLastEval + dHeading.draw();
params.numSteps = control->numStepsSinceLastEval;
params.start = p.state.pos;
params.stepSizes.stepSizeFloor_m = dStepSizeFloor.draw();
params.stepSizes.stepSizeStair_m = dStepSizeStair.draw();
if(params.stepSizes.stepSizeFloor_m < 0.1 || params.stepSizes.stepSizeStair_m < 0.1){
params.stepSizes.stepSizeFloor_m = 0.1;
params.stepSizes.stepSizeStair_m = 0.1;
}
double deltaUnblockable = 0.01;
// walk
MyNavMeshWalk::ResultEntry res = walker.getOne(params);
//MyNavMeshWalk::ResultEntry res = walker.getOne(params, kld, lambda, qualityWifi);
// assign back to particle's state
p.weight *= res.probability;
p.state.pos = res.location;
p.state.heading = res.heading;
}
// reset the control (0 steps, 0 delta-heading)
//control->afterEval();
}
};
class MyPFEval : public SMC::ParticleFilterEvaluation<MyState, MyObservation> {
//TODO: add this to transition probability
double getStairProb(const SMC::Particle<MyState>& p, const Activity act) {
const float kappa = 0.75;
switch (act) {
case Activity::WALKING:
if (p.state.pos.tria->getType() == (int) NM::NavMeshType::FLOOR_INDOOR) {return kappa;}
if (p.state.pos.tria->getType() == (int) NM::NavMeshType::DOOR) {return kappa;}
if (p.state.pos.tria->getType() == (int) NM::NavMeshType::STAIR_LEVELED) {return kappa;}
{return 1-kappa;}
case Activity::WALKING_UP:
case Activity::WALKING_DOWN:
if (p.state.pos.tria->getType() == (int) NM::NavMeshType::STAIR_SKEWED) {return kappa;}
if (p.state.pos.tria->getType() == (int) NM::NavMeshType::STAIR_LEVELED) {return kappa;}
if (p.state.pos.tria->getType() == (int) NM::NavMeshType::ELEVATOR) {return kappa;}
{return 1-kappa;}
}
return 1.0;
}
public:
// FRANK
MyPFEval() { };
bool assignProps = false;
std::shared_ptr<std::unordered_map<MACAddress, Kalman>> kalmanMap;
virtual double evaluation(std::vector<SMC::Particle<MyState>>& particles, const MyObservation& observation) override {
double sum = 0;
//#pragma omp parallel for num_threads(3)
for (int i = 0; i < particles.size(); ++i) {
SMC::Particle<MyState>& p = particles[i];
double pFtm = 1.0;
if (observation.wifi.size() == 0)
{
printf("");
}
for (auto& wifi : observation.wifi) {
if ( (true && wifi.second.getAP().getMAC() == Settings::NUC1)
|| (true && wifi.second.getAP().getMAC() == Settings::NUC2)
|| (true && wifi.second.getAP().getMAC() == Settings::NUC3)
|| (true && wifi.second.getAP().getMAC() == Settings::NUC4)
)
{
float rssi_pathloss = Settings::NUCS.at(wifi.second.getAP().getMAC()).rssi_pathloss;
float rssiDist = LogDistanceModel::rssiToDistance(-40, rssi_pathloss, wifi.second.getRSSI());
float ftmDist = wifi.second.getFtmDist();
Point3 apPos = Settings::data.Path0.APs.find(wifi.first)->second;
Point3 particlePos = p.state.pos.pos;
particlePos.z = 1.3; // smartphone h<>he
float apDist = particlePos.getDistance(apPos);
auto kalman = kalmanMap->at(wifi.second.getAP().getMAC());
pFtm *= Distribution::Normal<float>::getProbability(ftmDist, std::sqrt(kalman.P(0,0)), apDist);
//pFtm *= Distribution::Normal<float>::getProbability(apDist, 3.5, ftmDist);
//pFtm *= Distribution::Region<float>::getProbability(apDist, 3.5/2, ftmDist);
}
}
double prob = pFtm;
if (assignProps)
p.weight = prob; // p.weight *= prob
else
p.weight *= prob;
#pragma omp atomic
sum += prob;
}
return sum;
}
};
using MyFilter = SMC::ParticleFilter<MyState, MyControl, MyObservation>;