added per-floor optimization
This commit is contained in:
15
Settings.h
15
Settings.h
@@ -56,13 +56,14 @@ namespace Settings {
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constexpr float WAF = -11.0;
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const bool optimize = true;
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const bool useRegionalOpt = true;
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// how to perform VAP grouping. see
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// - calibration in Controller.cpp
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// - eval in Filter.h
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// NOTE: maybe the UAH does not allow valid VAP grouping? delete the grid and rebuild without!
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const VAPGrouper vg_calib = VAPGrouper(VAPGrouper::Mode::LAST_MAC_DIGIT_TO_ZERO, VAPGrouper::Aggregation::MAXIMUM, VAPGrouper::TimeAggregation::AVERAGE, 1);
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const VAPGrouper vg_eval = VAPGrouper(VAPGrouper::Mode::LAST_MAC_DIGIT_TO_ZERO, VAPGrouper::Aggregation::MAXIMUM, VAPGrouper::TimeAggregation::AVERAGE, 1);
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const VAPGrouper vg_calib = VAPGrouper(VAPGrouper::Mode::LAST_MAC_DIGIT_TO_ZERO, VAPGrouper::Aggregation::MAXIMUM, VAPGrouper::TimeAggregation::AVERAGE, 1); // Frank: WAS MAXIMUM
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const VAPGrouper vg_eval = VAPGrouper(VAPGrouper::Mode::LAST_MAC_DIGIT_TO_ZERO, VAPGrouper::Aggregation::MAXIMUM, VAPGrouper::TimeAggregation::AVERAGE, 1); // Frank: WAS MAXIMUM
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}
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namespace BeaconModel {
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@@ -83,9 +84,13 @@ namespace Settings {
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constexpr bool useMainThread = false; // perform filtering in the main thread
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}
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const std::string mapDir = "../map/";
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const std::string dataDir = "../measurements/";
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const std::string errorDir = dataDir + "results/";
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// const std::string mapDir = "../map/";
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// const std::string dataDir = "../measurements/";
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// const std::string errorDir = dataDir + "results/";
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const std::string mapDir = "/apps/museum/maps/";
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const std::string dataDir = "/apps/";
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const std::string errorDir = dataDir + "museum/results/";
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/** describes one dataset (map, training, parameter-estimation, ...) */
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struct DataSetup {
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58
main.cpp
58
main.cpp
@@ -20,7 +20,11 @@
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#include <Indoor/sensors/imu/MotionDetection.h>
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#include <Indoor/sensors/pressure/RelativePressure.h>
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#include <Indoor/data/Timestamp.h>
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#include <Indoor/sensors/radio/model/WiFiModels.h>
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#include <Indoor/sensors/radio/setup/WiFiOptimizerLogDistCeiling.h>
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#include <Indoor/sensors/radio/setup/WiFiOptimizerPerFloor.h>
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#include <Indoor/math/stats/Statistics.h>
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#include <Indoor/smc/filtering/resampling/ParticleFilterResamplingSimpleImpoverishment.h>
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@@ -55,13 +59,39 @@ Stats::Statistics<float> run(Settings::DataSetup setup, int numFile, std::string
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// wifi
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WiFiModelLogDistCeiling WiFiModel(map);
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// WiFiModelLogDistCeiling WiFiModel(map);
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// WiFiModelPerFloor WiFiModelPerFloor(map);
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// WiFiModelPerBBox WiFiModelPerBBox(map);
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WiFiModel* WiFiModel = nullptr;
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// with optimization
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if(Settings::WiFiModel::optimize){
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if (!inp.good() || (inp.peek()&&0) || inp.eof()) {
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Assert::isFalse(fingerprints.getFingerprints().empty(), "no fingerprints available!");
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if (Settings::WiFiModel::useRegionalOpt) {
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// use a regional optimization scheme (one per floor)
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WiFiOptimizerPerFloor opt(map);
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// add all fingerprints to the optimizer (optimizer will add them to the correct floor/model)
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for (const WiFiFingerprint& fp : fingerprints.getFingerprints()) {
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opt.addFingerprint(fp);
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}
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WiFiModel = opt.optimizeAll();
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WiFiModel->saveXML(setup.wifiModel);
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} else {
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// use one model per AP for the whole map
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WiFiModel = new WiFiModelLogDistCeiling(map);
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WiFiOptimizer::LogDistCeiling opt(map, Settings::WiFiModel::vg_calib);
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for (const WiFiFingerprint& fp : fingerprints.getFingerprints()) {
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opt.addFingerprint(fp);
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@@ -69,18 +99,27 @@ Stats::Statistics<float> run(Settings::DataSetup setup, int numFile, std::string
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const WiFiOptimizer::LogDistCeiling::APParamsList res = opt.optimizeAll(opt.NONE);
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for (const WiFiOptimizer::LogDistCeiling::APParamsMAC& ap : res.get()) {
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const WiFiModelLogDistCeiling::APEntry entry(ap.params.getPos(), ap.params.txp, ap.params.exp, ap.params.waf);
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WiFiModel.addAP(ap.mac, entry);
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((WiFiModelLogDistCeiling*)WiFiModel)->addAP(ap.mac, entry);
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}
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WiFiModel->saveXML(setup.wifiModel);
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}
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WiFiModel.saveXML(setup.wifiModel);
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} else {
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WiFiModel.loadXML(setup.wifiModel);
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// load WiFiModel from file. The factory will create the correct instance
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//WiFiModel->loadXML(setup.wifiModel);
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WiFiModelFactory fac(map);
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WiFiModel = fac.loadXML(setup.wifiModel);
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}
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} else {
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// without optimization
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WiFiModel.loadAPs(map, Settings::WiFiModel::TXP, Settings::WiFiModel::EXP, Settings::WiFiModel::WAF);
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Assert::isFalse(WiFiModel.getAllAPs().empty(), "no AccessPoints stored within the map.xml");
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WiFiModel = new WiFiModelLogDistCeiling(map);
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((WiFiModelLogDistCeiling*)WiFiModel)->loadAPs(map, Settings::WiFiModel::TXP, Settings::WiFiModel::EXP, Settings::WiFiModel::WAF);
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Assert::isFalse(WiFiModel->getAllAPs().empty(), "no AccessPoints stored within the map.xml");
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}
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@@ -117,8 +156,8 @@ Stats::Statistics<float> run(Settings::DataSetup setup, int numFile, std::string
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const int numParticles = 5000;
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//auto init = std::make_unique<MyPFInitFixed>(&mesh, srcPath1); // known position
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auto init = std::make_unique<MyPFInitUniform>(&mesh); // uniform distribution
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auto eval = std::make_unique<MyPFEval>(WiFiModel);
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auto trans = std::make_unique<MyPFTrans>(mesh, WiFiModel);
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auto eval = std::make_unique<MyPFEval>(*WiFiModel);
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auto trans = std::make_unique<MyPFTrans>(mesh, *WiFiModel);
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//auto resample = std::make_unique<SMC::ParticleFilterResamplingSimple<MyState>>();
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//auto resample = std::make_unique<SMC::ParticleFilterResamplingSimpleImpoverishment<MyState, MyNavMeshTriangle>>();
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@@ -212,7 +251,8 @@ Stats::Statistics<float> run(Settings::DataSetup setup, int numFile, std::string
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plot.setGroundTruth(gtPos);
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plot.addEstimationNode(est.pos.pos);
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plot.setActivity((int) act.get());
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//plot.plot();
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plot.plot();
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// error calc
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float err_m = gtPos.getDistance(est.pos.pos);
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@@ -310,7 +310,10 @@ class MyPFEval : public SMC::ParticleFilterEvaluation<MyState, MyObservation> {
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public:
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MyPFEval(WiFiModel& wifiModel) : wifiModel(wifiModel), wifiProbability(Settings::WiFiModel::sigma, wifiModel){}
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// FRANK
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//MyPFEval(WiFiModel& wifiModel) : wifiModel(wifiModel), wifiProbability(Settings::WiFiModel::sigma, wifiModel){}
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//MyPFEval(WiFiModel& wifiModel) : wifiModel(wifiModel), wifiProbability(Settings::WiFiModel::sigma, wifiModel, WiFiObserverFree::EvalDist::EXPONENTIAL){}
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MyPFEval(WiFiModel& wifiModel) : wifiModel(wifiModel), wifiProbability(Settings::WiFiModel::sigma, wifiModel, WiFiObserverFree::EvalDist::CAPPED_NORMAL_DISTRIBUTION){}
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virtual double evaluation(std::vector<SMC::Particle<MyState>>& particles, const MyObservation& observation) override {
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@@ -319,7 +322,7 @@ public:
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#pragma omp parallel for num_threads(3)
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for (int i = 0; i < particles.size(); ++i) {
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for (size_t i = 0; i < particles.size(); ++i) {
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SMC::Particle<MyState>& p = particles[i];
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double pWifi = wifiProbability.getProbability(p.state.pos.pos, observation.currentTime, wifiObs);
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