Not-working yet, but lots of progress towards TOAFactor
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@ -17,6 +17,7 @@
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* @date December 2014
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*/
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#include <gtsam_unstable/nonlinear/ExpressionFactor.h>
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#include <gtsam/geometry/Point3.h>
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namespace gtsam {
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@ -32,21 +33,71 @@ public:
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/// Speed of sound
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static const double Speed;
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/// Default Constructor
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Event() :
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time_(0) {
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}
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/// Constructor
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Event(double t, double x, double y, double z) :
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time_(t), location_(x, y, z) {
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}
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/// Time of arrival to given microphone
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double toa(const Point3& microphone) {
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double toa(const Point3& microphone, OptionalJacobian<1, 4> H1 = boost::none,
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OptionalJacobian<1, 3> H2 = boost::none) const {
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if (H1) {
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}
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return time_ + location_.distance(microphone) / Speed;
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}
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};
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const double Event::Speed = 330;
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} //\ namespace gtsam
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// Define GTSAM traits
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namespace traits {
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//template<>
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//struct GTSAM_EXPORT is_group<Point2> : public boost::true_type{
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//};
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//
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//template<>
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//struct GTSAM_EXPORT is_manifold<Point2> : public boost::true_type{
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//};
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template<>
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struct GTSAM_EXPORT dimension<Event> : public boost::integral_constant<int, 4> {
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};
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}
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/// A "Time of Arrival" factor
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class TOAFactor: public ExpressionFactor<double> {
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typedef Expression<double> double_;
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public:
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/**
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* Constructor
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* @param some expression yielding an event
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* @param microphone_ expression yielding a microphone location
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* @param toaMeasurement time of arrival at microphone
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* @param model noise model
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*/
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TOAFactor(const Expression<Event>& event_,
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const Expression<Point3>& microphone_, double toaMeasurement,
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const SharedNoiseModel& model) :
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ExpressionFactor<double>(model, toaMeasurement,
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double_(&Event::toa, event_, microphone_)) {
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}
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};
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}//\ namespace gtsam
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#include <gtsam/nonlinear/NonlinearFactorGraph.h>
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#include <gtsam/base/numericalDerivative.h>
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#include <CppUnitLite/TestHarness.h>
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#include <boost/bind.hpp>
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@ -83,26 +134,44 @@ TEST( TOA, Toa2 ) {
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}
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//*****************************************************************************
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TEST( TOAFactor, WholeEnchilada ) {
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// Create microphones
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vector<Point3> microphones;
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microphones.push_back(Point3(0, 0, 0));
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microphones.push_back(Point3(403 * cm, 0, 0));
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microphones.push_back(Point3(403 * cm, 403 * cm, 0));
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microphones.push_back(Point3(0, 403 * cm, 0));
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EXPECT_LONGS_EQUAL(4, microphones.size());
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// Create a ground truth point
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const double timeOfEvent = 0;
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Event event(timeOfEvent, 201.5 * cm, 201.5 * cm, (212 - 45) * cm);
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// Simulate measurements
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vector<double> measurements(4);
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for (size_t i = 0; i < 4; i++)
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measurements[i] = event.toa(microphones[i]);
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TEST( TOA, Expression ) {
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Key key = 12;
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Expression<Event> event_(key);
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Point3 microphone;
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Expression<Point3> knownMicrophone_(microphone); // constant expression
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Expression<double> expression(&Event::toa, event_, knownMicrophone_);
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}
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//*****************************************************************************
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//TEST( TOAFactor, WholeEnchilada ) {
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//
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// // Create microphones
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// vector<Point3> microphones;
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// microphones.push_back(Point3(0, 0, 0));
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// microphones.push_back(Point3(403 * cm, 0, 0));
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// microphones.push_back(Point3(403 * cm, 403 * cm, 0));
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// microphones.push_back(Point3(0, 403 * cm, 0));
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// EXPECT_LONGS_EQUAL(4, microphones.size());
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//
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// // Create a ground truth point
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// const double timeOfEvent = 0;
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// Event event(timeOfEvent, 201.5 * cm, 201.5 * cm, (212 - 45) * cm);
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//
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// // Simulate measurements
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// vector<double> measurements(4);
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// for (size_t i = 0; i < 4; i++)
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// measurements[i] = event.toa(microphones[i]);
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//
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// // Now, estimate using non-linear optimization
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// NonlinearFactorGraph graph;
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// Key key = 12;
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// Expression<Event> event_(key);
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// for (size_t i = 0; i < 4; i++) {
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// Expression<Point3> knownMicrophone_(microphones[i]); // constant expression
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// graph.add(TOAFactor(event_, knownMicrophone_, measurements[i], model));
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// }
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//}
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//*****************************************************************************
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int main() {
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TestResult tr;
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