changes from the laptop
- some should be the same as previous commit (sorry!) - some should be new: LINT checks, ...?
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@@ -27,15 +27,26 @@ private:
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/** the map's floorplan */
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Floorplan::IndoorMap* map;
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std::vector<AccessPoint> allAPs;
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bool useError = false;
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public:
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WiFiObserverFree(const float sigma, WiFiModel& model) : sigma(sigma), model(model) {
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allAPs = model.getAllAPs();
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}
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void setUseError(const bool useError) {
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this->useError = useError;
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}
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double getProbability(const Point3& pos_m, const Timestamp curTime, const WiFiMeasurements& obs) const {
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double prob = 1.0;
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//double prob = 0;
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double error = 0;
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int numMatchingAPs = 0;
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// process each measured AP
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@@ -50,7 +61,6 @@ public:
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// NaN? -> AP not known to the model -> skip
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if (modelRSSI != modelRSSI) {continue;}
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// the scan's RSSI
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const float scanRSSI = entry.getRSSI();
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@@ -60,24 +70,81 @@ public:
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Assert::isTrue(age.ms() >= 0, "found a negative wifi measurement age. this does not make sense");
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Assert::isTrue(age.ms() <= 60000, "found a 60 second old wifi measurement. maybe there is a coding error?");
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Assert::isBetween(scanRSSI, -100.0f, -30.0f, "scan-rssi out of range");
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//Assert::isBetween(modelRSSI, -160.0f, -10.0f, "model-rssi out of range");
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// sigma grows with measurement age
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const float sigma = this->sigma + this->sigmaPerSecond * age.sec();
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// probability for this AP
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//double local = Distribution::Normal<double>::getProbability(modelRSSI, sigma, scanRSSI);
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double local = Distribution::Exponential<double>::getProbability(0.1, std::abs(modelRSSI-scanRSSI));
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// also add the error value? [location is OK but model is wrong]
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if (useError) {
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local = 0.95 * local + 0.05 * (1.0-local);
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//local = 0.95 * local + 0.05;
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#warning "TODO"
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}
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// update probability
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prob *= Distribution::Normal<double>::getProbability(modelRSSI, sigma, scanRSSI);
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//prob *= Distribution::Region<double>::getProbability(modelRSSI, sigma, scanRSSI);
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prob *= local;
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++numMatchingAPs;
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}
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// sanity check
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//Assert::isTrue(numMatchingAPs > 0, "not a single measured AP was matched against known ones. coding error? model error?");
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//Assert::isTrue(numMatchingAPs > 0, "not a single measured AP was matched against known ones. coding error? model error?");
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return prob;
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}
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/**
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* for some locations it might make sense to also look at APs
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* that have NOT been discovered by the smartphone but SHOULD
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* be very well receivable at a location.
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* such locations can be opted-out by using this veto-probability
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*/
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double getVeto(const Point3& pos_m, const Timestamp curTime, const WiFiMeasurements& obs) const {
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(void) curTime;
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struct APR {
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AccessPoint ap;
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float rssi;
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APR(const AccessPoint& ap, const float rssi) : ap(ap), rssi(rssi) {;}
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};
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std::vector<APR> all;
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for (const AccessPoint& ap : allAPs) {
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const float rssi = model.getRSSI(ap.getMAC(), pos_m);
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if (rssi != rssi) {continue;} // unknown to the model
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all.push_back(APR(ap, rssi));
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}
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// stort by RSSI
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auto comp = [&] (const APR& apr1, const APR& apr2) {return apr1.rssi > apr2.rssi;};
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std::sort(all.begin(), all.end(), comp);
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int numVetos = 0;
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for (int i = 0; i < 3; ++i) {
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const APR& apr = all[i];
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const WiFiMeasurement* mes = obs.getForMac(apr.ap.getMAC());
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const float rssiScan = (mes) ? (mes->getRSSI()) : (-100);
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const float rssiModel = apr.rssi;
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const float diff = std::abs(rssiScan - rssiModel);
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if (diff > 20) {++numVetos;}
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}
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if (numVetos == 0) {return 0.70;}
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if (numVetos == 1) {return 0.29;}
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else {return 0.01;}
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}
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template <typename Node> double getProbability(const Node& n, const Timestamp curTime, const WiFiMeasurements& obs, const int age_ms = 0) const {
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return this->getProbability(n.inMeter() + Point3(0,0,1.3), curTime, obs);
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