Merge pull request #64 from borglab/fix/38_SmartRangeExamples-2
Fix/38 smart range examples 2release/4.3a0
commit
28235955d0
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@ -108,7 +108,7 @@ int main (int argc, char** argv) {
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// Set Noise parameters
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Vector priorSigmas = Vector3(1,1,M_PI);
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Vector odoSigmas = Vector3(0.05, 0.01, 0.2);
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Vector odoSigmas = Vector3(0.05, 0.01, 0.1);
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double sigmaR = 100; // range standard deviation
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const NM::Base::shared_ptr // all same type
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priorNoise = NM::Diagonal::Sigmas(priorSigmas), //prior
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@ -157,7 +157,7 @@ int main (int argc, char** argv) {
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boost::tie(t, odometry) = timedOdometry;
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// add odometry factor
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newFactors.push_back(BetweenFactor<Pose2>(i-1, i, odometry,NM::Diagonal::Sigmas(odoSigmas)));
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newFactors.push_back(BetweenFactor<Pose2>(i-1, i, odometry, odoNoise));
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// predict pose and add as initial estimate
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Pose2 predictedPose = lastPose.compose(odometry);
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@ -118,14 +118,17 @@ public:
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}
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/**
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* Add a new measurement and pose key
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* @param measured_i is the 2m dimensional projection of a single landmark
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* @param poseKey is the index corresponding to the camera observing the landmark
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* @param sharedNoiseModel is the measurement noise
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* Add a new measurement and pose/camera key
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* @param measured is the 2m dimensional projection of a single landmark
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* @param key is the index corresponding to the camera observing the landmark
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*/
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void add(const Z& measured_i, const Key& cameraKey_i) {
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this->measured_.push_back(measured_i);
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this->keys_.push_back(cameraKey_i);
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void add(const Z& measured, const Key& key) {
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if(std::find(keys_.begin(), keys_.end(), key) != keys_.end()) {
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throw std::invalid_argument(
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"SmartFactorBase::add: adding duplicate measurement for key.");
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}
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this->measured_.push_back(measured);
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this->keys_.push_back(key);
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}
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/**
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@ -133,8 +136,7 @@ public:
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*/
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void add(ZVector& measurements, KeyVector& cameraKeys) {
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for (size_t i = 0; i < measurements.size(); i++) {
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this->measured_.push_back(measurements.at(i));
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this->keys_.push_back(cameraKeys.at(i));
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this->add(measurements.at(i), cameraKeys.at(i));
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}
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}
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@ -10,7 +10,7 @@
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* -------------------------------------------------------------------------- */
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/**
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* @file SmartRangeExample_plaza2.cpp
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* @file SmartRangeExample_plaza1.cpp
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* @brief A 2D Range SLAM example
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* @date June 20, 2013
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* @author FRank Dellaert
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@ -42,6 +42,9 @@
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#include <gtsam/sam/RangeFactor.h>
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#include <gtsam_unstable/slam/SmartRangeFactor.h>
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// To find data files, we can use `findExampleDataFile`, declared here:
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#include <gtsam/slam/dataset.h>
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// Standard headers, added last, so we know headers above work on their own
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#include <fstream>
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#include <iostream>
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@ -59,10 +62,9 @@ namespace NM = gtsam::noiseModel;
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typedef pair<double, Pose2> TimedOdometry;
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list<TimedOdometry> readOdometry() {
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list<TimedOdometry> odometryList;
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ifstream is("/Users/dellaert/borg/gtsam/examples/Data/Plaza1_DR.txt");
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if (!is)
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throw runtime_error(
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"/Users/dellaert/borg/gtsam/examples/Data/Plaza1_DR.txt file not found");
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string drFile = findExampleDataFile("Plaza1_DR.txt");
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ifstream is(drFile);
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if (!is) throw runtime_error("Plaza1_DR.txt file not found");
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while (is) {
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double t, distance_traveled, delta_heading;
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@ -79,10 +81,9 @@ list<TimedOdometry> readOdometry() {
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typedef boost::tuple<double, size_t, double> RangeTriple;
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vector<RangeTriple> readTriples() {
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vector<RangeTriple> triples;
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ifstream is("/Users/dellaert/borg/gtsam/examples/Data/Plaza1_TD.txt");
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if (!is)
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throw runtime_error(
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"/Users/dellaert/borg/gtsam/examples/Data/Plaza1_TD.txt file not found");
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string tdFile = findExampleDataFile("Plaza1_TD.txt");
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ifstream is(tdFile);
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if (!is) throw runtime_error("Plaza1_TD.txt file not found");
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while (is) {
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double t, sender, receiver, range;
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@ -98,8 +99,6 @@ int main(int argc, char** argv) {
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// load Plaza1 data
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list<TimedOdometry> odometry = readOdometry();
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// size_t M = odometry.size();
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vector<RangeTriple> triples = readTriples();
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size_t K = triples.size();
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@ -112,11 +111,11 @@ int main(int argc, char** argv) {
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// Set Noise parameters
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Vector priorSigmas = Vector3(1, 1, M_PI);
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Vector odoSigmas = Vector3(0.05, 0.01, 0.2);
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Vector odoSigmas = Vector3(0.05, 0.01, 0.1);
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auto odoNoise = NM::Diagonal::Sigmas(odoSigmas);
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double sigmaR = 100; // range standard deviation
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const NM::Base::shared_ptr // all same type
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priorNoise = NM::Diagonal::Sigmas(priorSigmas), //prior
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odoNoise = NM::Diagonal::Sigmas(odoSigmas), // odometry
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gaussian = NM::Isotropic::Sigma(1, sigmaR), // non-robust
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tukey = NM::Robust::Create(NM::mEstimator::Tukey::Create(15), gaussian), //robust
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rangeNoise = robust ? tukey : gaussian;
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@ -130,10 +129,8 @@ int main(int argc, char** argv) {
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NonlinearFactorGraph newFactors;
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newFactors.push_back(PriorFactor<Pose2>(0, pose0, priorNoise));
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ofstream os2(
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"/Users/dellaert/borg/gtsam/gtsam_unstable/examples/rangeResultLM.txt");
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ofstream os3(
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"/Users/dellaert/borg/gtsam/gtsam_unstable/examples/rangeResultSR.txt");
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ofstream os2("rangeResultLM.txt");
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ofstream os3("rangeResultSR.txt");
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// initialize points (Gaussian)
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Values initial;
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@ -170,11 +167,11 @@ int main(int argc, char** argv) {
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double t;
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Pose2 odometry;
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boost::tie(t, odometry) = timedOdometry;
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printf("step %d, time = %g\n",(int)i,t);
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// add odometry factor
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newFactors.push_back(
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BetweenFactor<Pose2>(i - 1, i, odometry,
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NM::Diagonal::Sigmas(odoSigmas)));
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BetweenFactor<Pose2>(i - 1, i, odometry, odoNoise));
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// predict pose and add as initial estimate
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Pose2 predictedPose = lastPose.compose(odometry);
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@ -188,8 +185,13 @@ int main(int argc, char** argv) {
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double range = boost::get<2>(triples[k]);
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if (i > start) {
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if (smart && totalCount < minK) {
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smartFactors[j]->addRange(i, range);
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printf("adding range %g for %d on %d",range,(int)j,(int)i);cout << endl;
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try {
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smartFactors[j]->addRange(i, range);
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printf("adding range %g for %d",range,(int)j);
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} catch (const invalid_argument& e) {
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printf("warning: omitting duplicate range %g for %d",range,(int)j);
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}
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cout << endl;
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}
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else {
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RangeFactor<Pose2, Point2> factor(i, symbol('L', j), range,
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@ -254,8 +256,7 @@ int main(int argc, char** argv) {
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// Write result to file
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Values result = isam.calculateEstimate();
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ofstream os(
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"/Users/dellaert/borg/gtsam/gtsam_unstable/examples/rangeResult.txt");
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ofstream os("rangeResult.txt");
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for(const Values::ConstFiltered<Pose2>::KeyValuePair& it: result.filter<Pose2>())
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os << it.key << "\t" << it.value.x() << "\t" << it.value.y() << "\t"
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<< it.value.theta() << endl;
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@ -41,6 +41,9 @@
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#include <gtsam/slam/BetweenFactor.h>
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#include <gtsam/sam/RangeFactor.h>
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// To find data files, we can use `findExampleDataFile`, declared here:
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#include <gtsam/slam/dataset.h>
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// Standard headers, added last, so we know headers above work on their own
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#include <fstream>
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#include <iostream>
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@ -58,10 +61,9 @@ namespace NM = gtsam::noiseModel;
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typedef pair<double, Pose2> TimedOdometry;
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list<TimedOdometry> readOdometry() {
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list<TimedOdometry> odometryList;
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ifstream is("/Users/dellaert/borg/gtsam/examples/Data/Plaza1_DR.txt");
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if (!is)
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throw runtime_error(
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"/Users/dellaert/borg/gtsam/examples/Data/Plaza1_DR.txt file not found");
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string drFile = findExampleDataFile("Plaza2_DR.txt");
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ifstream is(drFile);
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if (!is) throw runtime_error("Plaza2_DR.txt file not found");
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while (is) {
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double t, distance_traveled, delta_heading;
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@ -78,10 +80,9 @@ list<TimedOdometry> readOdometry() {
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typedef boost::tuple<double, size_t, double> RangeTriple;
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vector<RangeTriple> readTriples() {
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vector<RangeTriple> triples;
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ifstream is("/Users/dellaert/borg/gtsam/examples/Data/Plaza1_TD.txt");
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if (!is)
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throw runtime_error(
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"/Users/dellaert/borg/gtsam/examples/Data/Plaza1_TD.txt file not found");
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string tdFile = findExampleDataFile("Plaza2_TD.txt");
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ifstream is(tdFile);
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if (!is) throw runtime_error("Plaza2_TD.txt file not found");
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while (is) {
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double t, sender, receiver, range;
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@ -201,13 +202,11 @@ int main(int argc, char** argv) {
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// Write result to file
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Values result = isam.calculateEstimate();
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ofstream os2(
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"/Users/dellaert/borg/gtsam/gtsam_unstable/examples/rangeResultLM.txt");
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ofstream os2("rangeResultLM.txt");
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for(const Values::ConstFiltered<Point2>::KeyValuePair& it: result.filter<Point2>())
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os2 << it.key << "\t" << it.value.x() << "\t" << it.value.y() << "\t1"
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<< endl;
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ofstream os(
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"/Users/dellaert/borg/gtsam/gtsam_unstable/examples/rangeResult.txt");
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ofstream os("rangeResult.txt");
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for(const Values::ConstFiltered<Pose2>::KeyValuePair& it: result.filter<Pose2>())
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os << it.key << "\t" << it.value.x() << "\t" << it.value.y() << "\t"
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<< it.value.theta() << endl;
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@ -13,7 +13,6 @@
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#include <gtsam/nonlinear/NonlinearFactor.h>
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#include <gtsam/inference/Key.h>
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#include <gtsam/geometry/Pose2.h>
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#include <gtsam/base/timing.h>
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#include <list>
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#include <map>
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@ -60,6 +59,10 @@ class SmartRangeFactor: public NoiseModelFactor {
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/// Add a range measurement to a pose with given key.
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void addRange(Key key, double measuredRange) {
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if(std::find(keys_.begin(), keys_.end(), key) != keys_.end()) {
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throw std::invalid_argument(
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"SmartRangeFactor::addRange: adding duplicate measurement for key.");
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}
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keys_.push_back(key);
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measurements_.push_back(measuredRange);
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size_t n = keys_.size();
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@ -89,7 +92,6 @@ class SmartRangeFactor: public NoiseModelFactor {
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* Raise runtime_error if not well defined.
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*/
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Point2 triangulate(const Values& x) const {
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// gttic_(triangulate);
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// create n circles corresponding to measured range around each pose
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std::list<Circle2> circles;
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size_t n = size();
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@ -100,7 +102,7 @@ class SmartRangeFactor: public NoiseModelFactor {
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Circle2 circle1 = circles.front();
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boost::optional<Point2> best_fh;
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boost::optional<Circle2> bestCircle2;
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auto bestCircle2 = boost::make_optional(false, circle1); // fixes issue #38
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// loop over all circles
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for (const Circle2& it : circles) {
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@ -136,7 +138,6 @@ class SmartRangeFactor: public NoiseModelFactor {
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} else {
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throw std::runtime_error("triangulate failed");
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}
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// gttoc_(triangulate);
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}
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/**
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@ -46,7 +46,7 @@ TEST( SmartRangeFactor, constructor ) {
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TEST( SmartRangeFactor, addRange ) {
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SmartRangeFactor f(sigma);
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f.addRange(1, 10);
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f.addRange(1, 12);
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f.addRange(2, 12);
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LONGS_EQUAL(2, f.size())
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}
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/* ************************************************************************* */
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