Added gen7 NUCs and path 10/11
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@@ -60,7 +60,7 @@ double ftmEval(SensorMode UseSensor, const Timestamp& currentTime, const Point3&
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result *= x;
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}
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hadMeas[nucIndex] = true;
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// hadMeas[nucIndex] = true; TODO
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}
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}
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else
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@@ -16,10 +16,17 @@ namespace Settings {
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/** describes one dataset (map, training, parameter-estimation, ...) */
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// NUC Gen6 - Intel AC 8260
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const MACAddress NUC1("38:de:ad:6d:77:25");
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const MACAddress NUC2("38:de:ad:6d:60:ff");
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const MACAddress NUC3("1c:1b:b5:ef:a2:9a");
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const MACAddress NUC4("1c:1b:b5:ec:d1:82");
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// NUC Gen7 - Intel AC 9461
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const MACAddress NUC5("d0:c6:37:bc:5c:41");
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const MACAddress NUC6("d0:c6:37:bc:77:8a");
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const MACAddress NUC7("d0:c6:37:bc:77:ad");
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const MACAddress NUC8("d0:c6:37:bc:6b:4b");
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static int nucIndex(const MACAddress& addr)
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{
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@@ -27,6 +34,10 @@ namespace Settings {
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if (addr == Settings::NUC2) return 1;
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if (addr == Settings::NUC3) return 2;
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if (addr == Settings::NUC4) return 3;
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if (addr == Settings::NUC5) return 4;
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if (addr == Settings::NUC6) return 5;
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if (addr == Settings::NUC7) return 6;
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if (addr == Settings::NUC8) return 7;
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else {
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assert(false); return 0;
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}
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@@ -40,6 +51,10 @@ namespace Settings {
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case 1: return NUC2;
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case 2: return NUC3;
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case 3: return NUC4;
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case 4: return NUC5;
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case 5: return NUC6;
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case 6: return NUC7;
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case 7: return NUC8;
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default: assert(false); return NUC1;
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}
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}
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@@ -285,8 +300,53 @@ namespace Settings {
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{ 200, 201, 203, 104, 204, 205, 206, 207, 206, 208, 209, 210, 211, 212 },
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true
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};
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// 10 Path: SHL Path 2; NUCs steht in den Räumen; Neue gen7 NUCs mit interner Antenne
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const DataSetup Path10 = {
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"path10",
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mapDir + "shl_nuc_2.xml",
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{
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dataDir + "Pixel2/path10/1470971060974.csv",
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dataDir + "Pixel2/path10/1578633767584.csv",
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dataDir + "Pixel3/path10/3600316210200.csv",
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dataDir + "Pixel3/path10/3715912582913.csv",
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},
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{
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// NUC, ID Pos X Y Z offset loss kalman stddev
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{ NUC1, {1, { 7, 6, 0.8}, 0.00, 2.500, 3.0f} }, // NUC 1 I.2.14
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{ NUC5, {5, { 54, 46, 0.8}, 0.00, 2.500, 3.0f} }, // NUC 5 I.2.37
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{ NUC6, {6, { 46, 37, 0.8}, 0.00, 2.500, 3.0f} }, // NUC 6 I.2.03
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{ NUC7, {7, { 27, 45, 0.8}, 0.00, 2.500, 3.0f} }, // NUC 7 I.2.28
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{ NUC8, {8, { 16, 36, 0.8}, 0.00, 2.500, 3.0f} }, // NUC 8 I.2.10
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},
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{ 100, 101, 102, 103, 104, 103, 102, 101, 100 },
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true
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};
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// 11 Path: SHL Path 2; NUCs steht in den Räumen; Neue gen7 NUCs mit interner Antenne
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const DataSetup Path11 = {
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"path11",
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mapDir + "shl_nuc_2.xml",
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{
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dataDir + "Pixel2/path11/1688129692555.csv",
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dataDir + "Pixel2/path11/1841800940572.csv",
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dataDir + "Pixel3/path11/3833358280134.csv",
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dataDir + "Pixel3/path11/3997838116311.csv",
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},
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{
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// NUC, ID Pos X Y Z offset loss kalman stddev
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{ NUC1, {1, { 7, 6, 0.8}, 0.00, 2.500, 3.0f} }, // NUC 1 I.2.14
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{ NUC5, {5, { 54, 46, 0.8}, 0.00, 2.500, 3.0f} }, // NUC 5 I.2.37
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{ NUC6, {6, { 46, 37, 0.8}, 0.00, 2.500, 3.0f} }, // NUC 6 I.2.03
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{ NUC7, {7, { 27, 45, 0.8}, 0.00, 2.500, 3.0f} }, // NUC 7 I.2.28
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{ NUC8, {8, { 16, 36, 0.8}, 0.00, 2.500, 3.0f} }, // NUC 8 I.2.10
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},
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{ 100, 101, 102, 103, 104, 105, 104, 103, 102, 101, 100 },
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true
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};
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} data;
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static DataSetup CurrentPath = data.Path9;
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static DataSetup CurrentPath = data.Path10;
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}
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@@ -255,9 +255,9 @@ static CombinedStats<float> run(Settings::DataSetup setup, int walkIdx, std::str
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Floorplan::IndoorMap* map = Floorplan::Reader::readFromFile(setup.map);
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Offline::FileReader fr(setup.training[walkIdx], setup.HasNanoSecondTimestamps);
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// ground truth
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std::vector<int> gtPath = setup.gtPath;
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std::vector<int> gtPath = setup.gtPath;
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Interpolator<uint64_t, Point3> gtInterpolator = fr.getGroundTruthPath(map, gtPath);
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CombinedStats<float> errorStats;
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@@ -281,14 +281,14 @@ static CombinedStats<float> run(Settings::DataSetup setup, int walkIdx, std::str
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// error file
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const long int t = static_cast<long int>(time(NULL));
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auto evalDir = std::filesystem::path(Settings::errorDir);
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evalDir.append(folder);
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evalDir.append(folder);
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if (!std::filesystem::exists(evalDir)) {
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std::filesystem::create_directory(evalDir);
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}
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}
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std::ofstream errorFile;
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errorFile.open (evalDir.string() + "/" + std::to_string(walkIdx) + "_" + std::to_string(t) + ".csv");
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errorFile.open(evalDir.string() + "/" + std::to_string(walkIdx) + "_" + std::to_string(t) + ".csv");
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// Output dir
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auto outputDir = std::filesystem::path(Settings::outputDir);
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@@ -300,10 +300,11 @@ static CombinedStats<float> run(Settings::DataSetup setup, int walkIdx, std::str
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// wifi
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auto kalmanMap = std::make_shared<std::unordered_map<MACAddress, Kalman>>();
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kalmanMap->insert({ Settings::NUC1, Kalman(1, setup.NUCs.at(Settings::NUC1).kalman_measStdDev, kalman_procNoiseDistStdDev, kalman_procNoiseVelStdDev) });
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kalmanMap->insert({ Settings::NUC2, Kalman(2, setup.NUCs.at(Settings::NUC2).kalman_measStdDev, kalman_procNoiseDistStdDev, kalman_procNoiseVelStdDev) });
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kalmanMap->insert({ Settings::NUC3, Kalman(3, setup.NUCs.at(Settings::NUC3).kalman_measStdDev, kalman_procNoiseDistStdDev, kalman_procNoiseVelStdDev) });
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kalmanMap->insert({ Settings::NUC4, Kalman(4, setup.NUCs.at(Settings::NUC4).kalman_measStdDev, kalman_procNoiseDistStdDev, kalman_procNoiseVelStdDev) });
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for (auto& nucConfig : setup.NUCs)
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{
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kalmanMap->insert({ nucConfig.first, Kalman(nucConfig.second.ID, nucConfig.second.kalman_measStdDev, kalman_procNoiseDistStdDev, kalman_procNoiseVelStdDev) });
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}
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std::cout << "Optimal wifi parameters for " << setup.training[walkIdx] << "\n";
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optimizeWifiParameters(fr, gtInterpolator);
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@@ -328,10 +329,10 @@ static CombinedStats<float> run(Settings::DataSetup setup, int walkIdx, std::str
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plot.setGroundTruth(gtPath);
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plot.setView(30, 0);
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// APs Positions
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plot.addCircle(100000 + 0, Settings::CurrentPath.nucInfo(0).position.xy(), 0.1);
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plot.addCircle(100000 + 1, Settings::CurrentPath.nucInfo(1).position.xy(), 0.1);
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plot.addCircle(100000 + 2, Settings::CurrentPath.nucInfo(2).position.xy(), 0.1);
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plot.addCircle(100000 + 3, Settings::CurrentPath.nucInfo(3).position.xy(), 0.1);
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for (auto& nucConfig : setup.NUCs)
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{
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plot.addCircle(10000 + nucConfig.second.ID, nucConfig.second.position.xy(), 0.1);
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}
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plot.plot();
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// particle-filter
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@@ -376,10 +377,10 @@ static CombinedStats<float> run(Settings::DataSetup setup, int walkIdx, std::str
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std::unordered_map<MACAddress, MovingMedianTS2> movMedianPerAP;
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movMedianPerAP[Settings::NUC1] = MovingMedianTS2(Timestamp::fromMS(500));
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movMedianPerAP[Settings::NUC2] = MovingMedianTS2(Timestamp::fromMS(500));
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movMedianPerAP[Settings::NUC3] = MovingMedianTS2(Timestamp::fromMS(500));
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movMedianPerAP[Settings::NUC4] = MovingMedianTS2(Timestamp::fromMS(500));
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for (auto& nucConfig : setup.NUCs)
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{
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movMedianPerAP[nucConfig.first] = MovingMedianTS2(Timestamp::fromMS(500));
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}
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for (const Offline::Entry& e : fr.getEntries())
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{
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@@ -400,10 +401,11 @@ static CombinedStats<float> run(Settings::DataSetup setup, int walkIdx, std::str
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Point2 gtPos = gtInterpolator.get(static_cast<uint64_t>(ts.ms())).xy();
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plot.setGroundTruth(Point3(gtPos.x, gtPos.y, 0.1));
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gtDistances.push_back({ gtPos.getDistance(Settings::CurrentPath.nucInfo(0).position.xy()),
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gtPos.getDistance(Settings::CurrentPath.nucInfo(1).position.xy()),
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gtPos.getDistance(Settings::CurrentPath.nucInfo(2).position.xy()),
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gtPos.getDistance(Settings::CurrentPath.nucInfo(3).position.xy()) });
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// TODO
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//gtDistances.push_back({ gtPos.getDistance(Settings::CurrentPath.nucInfo(0).position.xy()),
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// gtPos.getDistance(Settings::CurrentPath.nucInfo(1).position.xy()),
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// gtPos.getDistance(Settings::CurrentPath.nucInfo(2).position.xy()),
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// gtPos.getDistance(Settings::CurrentPath.nucInfo(3).position.xy()) });
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Point3 estPos;
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float distErrorFtm = 0;
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@@ -450,22 +452,22 @@ static CombinedStats<float> run(Settings::DataSetup setup, int walkIdx, std::str
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}
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// Store measurements
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for (WiFiMeasurement wifi : obs.ftm)
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{
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if (wifi.getNumSuccessfulMeasurements() < 3)
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{
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continue;
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}
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//for (WiFiMeasurement wifi : obs.ftm)
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//{
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// if (wifi.getNumSuccessfulMeasurements() < 3)
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// {
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// continue;
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// }
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Point2 gtPos2 = gtInterpolator.get(static_cast<uint64_t>(wifi.getTimestamp().ms())).xy();
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Point2 apPos2 = Settings::CurrentPath.NUCs[wifi.getAP().getMAC()].position.xy();
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// Point2 gtPos2 = gtInterpolator.get(static_cast<uint64_t>(wifi.getTimestamp().ms())).xy();
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// Point2 apPos2 = Settings::CurrentPath.NUCs[wifi.getAP().getMAC()].position.xy();
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float gtDist2 = gtPos2.getDistance(apPos2);
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// float gtDist2 = gtPos2.getDistance(apPos2);
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// store distances
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const int nucIdx = Settings::nucIndex(wifi.getAP().getMAC());
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ftmDistances[nucIdx].add(wifi.getTimestamp(), { wifi.getFtmDist(), gtDist2, wifi.getRSSI() });
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}
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// // store distances
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// const int nucIdx = Settings::nucIndex(wifi.getAP().getMAC());
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// ftmDistances[nucIdx].add(wifi.getTimestamp(), { wifi.getFtmDist(), gtDist2, wifi.getRSSI() }); // TODO
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//}
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// Kalman debugging (can't be used with active PF)
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//{
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@@ -692,9 +694,11 @@ int main(int argc, char** argv)
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std::vector<Settings::DataSetup> setupsToRun = {
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//Settings::data.Path5,
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Settings::data.Path7,
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Settings::data.Path8,
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//Settings::data.Path9
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//Settings::data.Path7,
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//Settings::data.Path8,
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//Settings::data.Path9,
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//Settings::data.Path10,
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Settings::data.Path11
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};
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for (Settings::DataSetup setupToRun : setupsToRun)
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@@ -702,7 +706,7 @@ int main(int argc, char** argv)
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Settings::CurrentPath = setupToRun;
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for (size_t walkIdx = 0; walkIdx < 1 /*Settings::CurrentPath.training.size()*/; walkIdx++)
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for (size_t walkIdx = 0; walkIdx < Settings::CurrentPath.training.size(); walkIdx++)
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{
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std::cout << "Executing walk " << walkIdx << "\n";
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for (int i = 0; i < 1; ++i)
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