commit
0c2890b815
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@ -0,0 +1,128 @@
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"""
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GTSAM Copyright 2010-2020, Georgia Tech Research Corporation,
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Atlanta, Georgia 30332-0415
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All Rights Reserved
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Authors: Frank Dellaert, et al. (see THANKS for the full author list)
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See LICENSE for the license information
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Track a moving object "Time of Arrival" measurements at 4 microphones.
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Author: Frank Dellaert
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"""
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# pylint: disable=invalid-name, no-name-in-module
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from gtsam import (LevenbergMarquardtOptimizer, LevenbergMarquardtParams,
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NonlinearFactorGraph, Point3, Values, noiseModel_Isotropic)
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from gtsam_unstable import Event, TimeOfArrival, TOAFactor
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# units
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MS = 1e-3
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CM = 1e-2
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# Instantiate functor with speed of sound value
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TIME_OF_ARRIVAL = TimeOfArrival(330)
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def define_microphones():
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"""Create microphones."""
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height = 0.5
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microphones = []
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microphones.append(Point3(0, 0, height))
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microphones.append(Point3(403 * CM, 0, height))
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microphones.append(Point3(403 * CM, 403 * CM, height))
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microphones.append(Point3(0, 403 * CM, 2 * height))
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return microphones
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def create_trajectory(n):
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"""Create ground truth trajectory."""
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trajectory = []
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timeOfEvent = 10
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# simulate emitting a sound every second while moving on straight line
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for key in range(n):
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trajectory.append(
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Event(timeOfEvent, 245 * CM + key * 1.0, 201.5 * CM, (212 - 45) * CM))
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timeOfEvent += 1
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return trajectory
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def simulate_one_toa(microphones, event):
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"""Simulate time-of-arrival measurements for a single event."""
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return [TIME_OF_ARRIVAL.measure(event, microphones[i])
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for i in range(len(microphones))]
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def simulate_toa(microphones, trajectory):
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"""Simulate time-of-arrival measurements for an entire trajectory."""
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return [simulate_one_toa(microphones, event)
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for event in trajectory]
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def create_graph(microphones, simulatedTOA):
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"""Create factor graph."""
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graph = NonlinearFactorGraph()
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# Create a noise model for the TOA error
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model = noiseModel_Isotropic.Sigma(1, 0.5 * MS)
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K = len(microphones)
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key = 0
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for toa in simulatedTOA:
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for i in range(K):
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factor = TOAFactor(key, microphones[i], toa[i], model)
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graph.push_back(factor)
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key += 1
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return graph
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def create_initial_estimate(n):
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"""Create initial estimate for n events."""
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initial = Values()
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zero = Event()
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for key in range(n):
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TOAFactor.InsertEvent(key, zero, initial)
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return initial
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def toa_example():
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"""Run example with 4 microphones and 5 events in a straight line."""
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# Create microphones
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microphones = define_microphones()
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K = len(microphones)
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for i in range(K):
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print("mic {} = {}".format(i, microphones[i]))
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# Create a ground truth trajectory
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n = 5
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groundTruth = create_trajectory(n)
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for event in groundTruth:
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print(event)
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# Simulate time-of-arrival measurements
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simulatedTOA = simulate_toa(microphones, groundTruth)
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for key in range(n):
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for i in range(K):
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print("z_{}{} = {} ms".format(key, i, simulatedTOA[key][i] / MS))
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# create factor graph
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graph = create_graph(microphones, simulatedTOA)
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print(graph.at(0))
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# Create initial estimate
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initial_estimate = create_initial_estimate(n)
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print(initial_estimate)
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# Optimize using Levenberg-Marquardt optimization.
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params = LevenbergMarquardtParams()
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params.setAbsoluteErrorTol(1e-10)
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params.setVerbosityLM("SUMMARY")
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optimizer = LevenbergMarquardtOptimizer(graph, initial_estimate, params)
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result = optimizer.optimize()
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print("Final Result:\n", result)
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if __name__ == '__main__':
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toa_example()
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print("Example complete")
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@ -0,0 +1,160 @@
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/* ----------------------------------------------------------------------------
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* GTSAM Copyright 2010-2020, Georgia Tech Research Corporation,
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* Atlanta, Georgia 30332-0415
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* All Rights Reserved
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* Authors: Frank Dellaert, et al. (see THANKS for the full author list)
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* See LICENSE for the license information
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* -------------------------------------------------------------------------- */
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/**
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* @file TimeOfArrivalExample.cpp
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* @brief Track a moving object "Time of Arrival" measurements at 4
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* microphones.
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* @author Frank Dellaert
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* @author Jay Chakravarty
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* @date March 2020
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*/
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#include <gtsam/nonlinear/LevenbergMarquardtOptimizer.h>
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#include <gtsam/nonlinear/NonlinearFactorGraph.h>
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#include <gtsam/nonlinear/expressions.h>
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#include <gtsam_unstable/geometry/Event.h>
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#include <gtsam_unstable/slam/TOAFactor.h>
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#include <boost/bind.hpp>
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#include <boost/format.hpp>
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#include <vector>
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using namespace std;
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using namespace gtsam;
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// units
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static const double ms = 1e-3;
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static const double cm = 1e-2;
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// Instantiate functor with speed of sound value
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static const TimeOfArrival kTimeOfArrival(330);
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/* ************************************************************************* */
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// Create microphones
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vector<Point3> defineMicrophones() {
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const double height = 0.5;
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vector<Point3> microphones;
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microphones.push_back(Point3(0, 0, height));
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microphones.push_back(Point3(403 * cm, 0, height));
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microphones.push_back(Point3(403 * cm, 403 * cm, height));
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microphones.push_back(Point3(0, 403 * cm, 2 * height));
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return microphones;
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}
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/* ************************************************************************* */
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// Create ground truth trajectory
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vector<Event> createTrajectory(int n) {
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vector<Event> trajectory;
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double timeOfEvent = 10;
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// simulate emitting a sound every second while moving on straight line
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for (size_t key = 0; key < n; key++) {
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trajectory.push_back(
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Event(timeOfEvent, 245 * cm + key * 1.0, 201.5 * cm, (212 - 45) * cm));
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timeOfEvent += 1;
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}
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return trajectory;
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}
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/* ************************************************************************* */
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// Simulate time-of-arrival measurements for a single event
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vector<double> simulateTOA(const vector<Point3>& microphones,
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const Event& event) {
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size_t K = microphones.size();
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vector<double> simulatedTOA(K);
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for (size_t i = 0; i < K; i++) {
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simulatedTOA[i] = kTimeOfArrival(event, microphones[i]);
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}
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return simulatedTOA;
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}
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/* ************************************************************************* */
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// Simulate time-of-arrival measurements for an entire trajectory
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vector<vector<double>> simulateTOA(const vector<Point3>& microphones,
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const vector<Event>& trajectory) {
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vector<vector<double>> simulatedTOA;
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for (auto event : trajectory) {
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simulatedTOA.push_back(simulateTOA(microphones, event));
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}
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return simulatedTOA;
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}
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/* ************************************************************************* */
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// create factor graph
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NonlinearFactorGraph createGraph(const vector<Point3>& microphones,
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const vector<vector<double>>& simulatedTOA) {
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NonlinearFactorGraph graph;
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// Create a noise model for the TOA error
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auto model = noiseModel::Isotropic::Sigma(1, 0.5 * ms);
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size_t K = microphones.size();
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size_t key = 0;
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for (auto toa : simulatedTOA) {
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for (size_t i = 0; i < K; i++) {
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graph.emplace_shared<TOAFactor>(key, microphones[i], toa[i], model);
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}
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key += 1;
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}
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return graph;
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}
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/* ************************************************************************* */
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// create initial estimate for n events
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Values createInitialEstimate(int n) {
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Values initial;
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Event zero;
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for (size_t key = 0; key < n; key++) {
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initial.insert(key, zero);
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}
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return initial;
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}
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/* ************************************************************************* */
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int main(int argc, char* argv[]) {
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// Create microphones
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auto microphones = defineMicrophones();
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size_t K = microphones.size();
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for (size_t i = 0; i < K; i++) {
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cout << "mic" << i << " = " << microphones[i] << endl;
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}
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// Create a ground truth trajectory
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const size_t n = 5;
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auto groundTruth = createTrajectory(n);
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// Simulate time-of-arrival measurements
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auto simulatedTOA = simulateTOA(microphones, groundTruth);
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for (size_t key = 0; key < n; key++) {
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for (size_t i = 0; i < K; i++) {
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cout << "z_" << key << i << " = " << simulatedTOA[key][i] / ms << " ms"
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<< endl;
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}
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}
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// Create factor graph
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auto graph = createGraph(microphones, simulatedTOA);
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// Create initial estimate
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auto initialEstimate = createInitialEstimate(n);
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initialEstimate.print("Initial Estimate:\n");
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// Optimize using Levenberg-Marquardt optimization.
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LevenbergMarquardtParams params;
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params.setAbsoluteErrorTol(1e-10);
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params.setVerbosityLM("SUMMARY");
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LevenbergMarquardtOptimizer optimizer(graph, initialEstimate, params);
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Values result = optimizer.optimize();
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result.print("Final Result:\n");
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}
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/* ************************************************************************* */
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@ -24,15 +24,16 @@ namespace gtsam {
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/* ************************************************************************* */
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void Event::print(const std::string& s) const {
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std::cout << s << "time = " << time_ << "location = " << location_.transpose();
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std::cout << s << "{'time':" << time_
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<< ", 'location': " << location_.transpose() << "}";
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}
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/* ************************************************************************* */
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bool Event::equals(const Event& other, double tol) const {
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return std::abs(time_ - other.time_) < tol
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&& traits<Point3>::Equals(location_, other.location_, tol);
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return std::abs(time_ - other.time_) < tol &&
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traits<Point3>::Equals(location_, other.location_, tol);
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}
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/* ************************************************************************* */
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} //\ namespace gtsam
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} // namespace gtsam
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@ -20,42 +20,43 @@
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#pragma once
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#include <gtsam/geometry/Point3.h>
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#include <gtsam_unstable/dllexport.h>
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#include <cmath>
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#include <iosfwd>
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#include <gtsam_unstable/dllexport.h>
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#include <string>
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namespace gtsam {
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/// A space-time event
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/**
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* A space-time event models an event that happens at a certain 3D location, at
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* a certain time. One use for it is in sound-based or UWB-ranging tracking or
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* SLAM, where we have "time of arrival" measurements at a set of sensors. The
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* TOA functor below provides a measurement function for those applications.
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*/
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class Event {
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double time_; ///< Time event was generated
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Point3 location_; ///< Location at time event was generated
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double time_; ///< Time event was generated
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Point3 location_; ///< Location at time event was generated
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public:
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public:
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enum { dimension = 4 };
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/// Default Constructor
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Event() :
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time_(0), location_(0,0,0) {
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}
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Event() : time_(0), location_(0, 0, 0) {}
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/// Constructor from time and location
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Event(double t, const Point3& p) :
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time_(t), location_(p) {
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}
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Event(double t, const Point3& p) : time_(t), location_(p) {}
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/// Constructor with doubles
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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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Event(double t, double x, double y, double z)
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: time_(t), location_(x, y, z) {}
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double time() const { return time_;}
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Point3 location() const { return location_;}
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double time() const { return time_; }
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Point3 location() const { return location_; }
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// TODO we really have to think of a better way to do linear arguments
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double height(OptionalJacobian<1,4> H = boost::none) const {
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static const Matrix14 JacobianZ = (Matrix14() << 0,0,0,1).finished();
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// TODO(frank) we really have to think of a better way to do linear arguments
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double height(OptionalJacobian<1, 4> H = boost::none) const {
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static const Matrix14 JacobianZ = (Matrix14() << 0, 0, 0, 1).finished();
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if (H) *H = JacobianZ;
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return location_.z();
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}
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@ -64,7 +65,8 @@ public:
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GTSAM_UNSTABLE_EXPORT void print(const std::string& s = "") const;
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/** equals with an tolerance */
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GTSAM_UNSTABLE_EXPORT bool equals(const Event& other, double tol = 1e-9) const;
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GTSAM_UNSTABLE_EXPORT bool equals(const Event& other,
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double tol = 1e-9) const;
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/// Updates a with tangent space delta
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inline Event retract(const Vector4& v) const {
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|
@ -73,28 +75,44 @@ public:
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/// Returns inverse retraction
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inline Vector4 localCoordinates(const Event& q) const {
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return Vector4::Zero(); // TODO
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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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OptionalJacobian<1, 4> H1 = boost::none, //
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OptionalJacobian<1, 3> H2 = boost::none) const {
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static const double Speed = 330;
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Matrix13 D1, D2;
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double distance = gtsam::distance3(location_, microphone, D1, D2);
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if (H1)
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// derivative of toa with respect to event
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*H1 << 1.0, D1 / Speed;
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if (H2)
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// derivative of toa with respect to microphone location
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*H2 << D2 / Speed;
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return time_ + distance / Speed;
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return Vector4::Zero(); // TODO(frank) implement!
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}
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};
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// Define GTSAM traits
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template<>
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template <>
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struct traits<Event> : internal::Manifold<Event> {};
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} //\ namespace gtsam
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/// Time of arrival to given sensor
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class TimeOfArrival {
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const double speed_; ///< signal speed
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public:
|
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typedef double result_type;
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/// Constructor with optional speed of signal, in m/sec
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explicit TimeOfArrival(double speed = 330) : speed_(speed) {}
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/// Calculate time of arrival
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double measure(const Event& event, const Point3& sensor) const {
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double distance = gtsam::distance3(event.location(), sensor);
|
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return event.time() + distance / speed_;
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}
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/// Calculate time of arrival, with derivatives
|
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double operator()(const Event& event, const Point3& sensor, //
|
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OptionalJacobian<1, 4> H1 = boost::none, //
|
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OptionalJacobian<1, 3> H2 = boost::none) const {
|
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Matrix13 D1, D2;
|
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double distance = gtsam::distance3(event.location(), sensor, D1, D2);
|
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if (H1)
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// derivative of toa with respect to event
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*H1 << 1.0, D1 / speed_;
|
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if (H2)
|
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// derivative of toa with respect to sensor location
|
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*H2 << D2 / speed_;
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return event.time() + distance / speed_;
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}
|
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};
|
||||
|
||||
} // namespace gtsam
|
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|
|
|
@ -17,10 +17,12 @@
|
|||
* @date December 2014
|
||||
*/
|
||||
|
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#include <gtsam_unstable/geometry/Event.h>
|
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#include <gtsam/base/numericalDerivative.h>
|
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#include <gtsam/nonlinear/Expression.h>
|
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#include <gtsam_unstable/geometry/Event.h>
|
||||
|
||||
#include <CppUnitLite/TestHarness.h>
|
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|
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#include <boost/bind.hpp>
|
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|
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using namespace std;
|
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|
@ -30,56 +32,59 @@ using namespace gtsam;
|
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static const double ms = 1e-3;
|
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static const double cm = 1e-2;
|
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typedef Eigen::Matrix<double, 1, 1> Vector1;
|
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static SharedNoiseModel model(noiseModel::Isotropic::Sigma(1,0.5*ms));
|
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static SharedNoiseModel model(noiseModel::Isotropic::Sigma(1, 0.5 * ms));
|
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|
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static const double timeOfEvent = 25;
|
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static const Event exampleEvent(timeOfEvent, 1, 0, 0);
|
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static const Point3 microphoneAt0(0,0,0);
|
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static const Point3 microphoneAt0(0, 0, 0);
|
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|
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static const double kSpeedOfSound = 340;
|
||||
static const TimeOfArrival kToa(kSpeedOfSound);
|
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|
||||
//*****************************************************************************
|
||||
TEST( Event, Constructor ) {
|
||||
TEST(Event, Constructor) {
|
||||
const double t = 0;
|
||||
Event actual(t, 201.5 * cm, 201.5 * cm, (212 - 45) * cm);
|
||||
}
|
||||
|
||||
//*****************************************************************************
|
||||
TEST( Event, Toa1 ) {
|
||||
TEST(Event, Toa1) {
|
||||
Event event(0, 1, 0, 0);
|
||||
double expected = 1. / 330;
|
||||
EXPECT_DOUBLES_EQUAL(expected, event.toa(microphoneAt0), 1e-9);
|
||||
double expected = 1. / kSpeedOfSound;
|
||||
EXPECT_DOUBLES_EQUAL(expected, kToa(event, microphoneAt0), 1e-9);
|
||||
}
|
||||
|
||||
//*****************************************************************************
|
||||
TEST( Event, Toa2 ) {
|
||||
double expectedTOA = timeOfEvent + 1. / 330;
|
||||
EXPECT_DOUBLES_EQUAL(expectedTOA, exampleEvent.toa(microphoneAt0), 1e-9);
|
||||
TEST(Event, Toa2) {
|
||||
double expectedTOA = timeOfEvent + 1. / kSpeedOfSound;
|
||||
EXPECT_DOUBLES_EQUAL(expectedTOA, kToa(exampleEvent, microphoneAt0), 1e-9);
|
||||
}
|
||||
|
||||
//*************************************************************************
|
||||
TEST (Event, Derivatives) {
|
||||
TEST(Event, Derivatives) {
|
||||
Matrix14 actualH1;
|
||||
Matrix13 actualH2;
|
||||
exampleEvent.toa(microphoneAt0, actualH1, actualH2);
|
||||
kToa(exampleEvent, microphoneAt0, actualH1, actualH2);
|
||||
Matrix expectedH1 = numericalDerivative11<double, Event>(
|
||||
boost::bind(&Event::toa, _1, microphoneAt0, boost::none, boost::none),
|
||||
boost::bind(kToa, _1, microphoneAt0, boost::none, boost::none),
|
||||
exampleEvent);
|
||||
EXPECT(assert_equal(expectedH1, actualH1, 1e-8));
|
||||
Matrix expectedH2 = numericalDerivative11<double, Point3>(
|
||||
boost::bind(&Event::toa, exampleEvent, _1, boost::none, boost::none),
|
||||
boost::bind(kToa, exampleEvent, _1, boost::none, boost::none),
|
||||
microphoneAt0);
|
||||
EXPECT(assert_equal(expectedH2, actualH2, 1e-8));
|
||||
}
|
||||
|
||||
//*****************************************************************************
|
||||
TEST( Event, Expression ) {
|
||||
TEST(Event, Expression) {
|
||||
Key key = 12;
|
||||
Expression<Event> event_(key);
|
||||
Expression<Point3> knownMicrophone_(microphoneAt0); // constant expression
|
||||
Expression<double> expression(&Event::toa, event_, knownMicrophone_);
|
||||
Expression<Point3> knownMicrophone_(microphoneAt0); // constant expression
|
||||
Expression<double> expression(kToa, event_, knownMicrophone_);
|
||||
|
||||
Values values;
|
||||
values.insert(key, exampleEvent);
|
||||
double expectedTOA = timeOfEvent + 1. / 330;
|
||||
double expectedTOA = timeOfEvent + 1. / kSpeedOfSound;
|
||||
EXPECT_DOUBLES_EQUAL(expectedTOA, expression.value(values), 1e-9);
|
||||
}
|
||||
|
||||
|
@ -97,4 +102,3 @@ int main() {
|
|||
return TestRegistry::runAllTests(tr);
|
||||
}
|
||||
//*****************************************************************************
|
||||
|
||||
|
|
|
@ -377,6 +377,30 @@ virtual class RangeFactor : gtsam::NoiseModelFactor {
|
|||
|
||||
typedef gtsam::RangeFactor<gtsam::PoseRTV, gtsam::PoseRTV> RangeFactorRTV;
|
||||
|
||||
#include <gtsam_unstable/geometry/Event.h>
|
||||
class Event {
|
||||
Event();
|
||||
Event(double t, const gtsam::Point3& p);
|
||||
Event(double t, double x, double y, double z);
|
||||
double time() const;
|
||||
gtsam::Point3 location() const;
|
||||
double height() const;
|
||||
void print(string s) const;
|
||||
};
|
||||
|
||||
class TimeOfArrival {
|
||||
TimeOfArrival();
|
||||
TimeOfArrival(double speed);
|
||||
double measure(const gtsam::Event& event, const gtsam::Point3& sensor) const;
|
||||
};
|
||||
|
||||
#include <gtsam_unstable/slam/TOAFactor.h>
|
||||
virtual class TOAFactor : gtsam::NonlinearFactor {
|
||||
// For now, because of overload issues, we only expose constructor with known sensor coordinates:
|
||||
TOAFactor(size_t key1, gtsam::Point3 sensor, double measured,
|
||||
const gtsam::noiseModel::Base* noiseModel);
|
||||
static void InsertEvent(size_t key, const gtsam::Event& event, gtsam::Values* values);
|
||||
};
|
||||
|
||||
#include <gtsam/nonlinear/NonlinearEquality.h>
|
||||
template<T = {gtsam::PoseRTV}>
|
||||
|
|
|
@ -17,33 +17,51 @@
|
|||
* @date December 2014
|
||||
*/
|
||||
|
||||
#pragma once
|
||||
|
||||
#include <gtsam/nonlinear/ExpressionFactor.h>
|
||||
#include <gtsam_unstable/geometry/Event.h>
|
||||
|
||||
namespace gtsam {
|
||||
|
||||
/// A "Time of Arrival" factor - so little code seems hardly worth it :-)
|
||||
class TOAFactor: public ExpressionFactor<double> {
|
||||
|
||||
class TOAFactor : public ExpressionFactor<double> {
|
||||
typedef Expression<double> Double_;
|
||||
|
||||
public:
|
||||
|
||||
public:
|
||||
/**
|
||||
* Constructor
|
||||
* @param some expression yielding an event
|
||||
* @param microphone_ expression yielding a microphone location
|
||||
* @param toaMeasurement time of arrival at microphone
|
||||
* Most general constructor with two expressions
|
||||
* @param eventExpression expression yielding an event
|
||||
* @param sensorExpression expression yielding a sensor location
|
||||
* @param toaMeasurement time of arrival at sensor
|
||||
* @param model noise model
|
||||
* @param speed optional speed of signal, in m/sec
|
||||
*/
|
||||
TOAFactor(const Expression<Event>& eventExpression,
|
||||
const Expression<Point3>& microphone_, double toaMeasurement,
|
||||
const SharedNoiseModel& model) :
|
||||
ExpressionFactor<double>(model, toaMeasurement,
|
||||
Double_(&Event::toa, eventExpression, microphone_)) {
|
||||
}
|
||||
const Expression<Point3>& sensorExpression, double toaMeasurement,
|
||||
const SharedNoiseModel& model, double speed = 330)
|
||||
: ExpressionFactor<double>(
|
||||
model, toaMeasurement,
|
||||
Double_(TimeOfArrival(speed), eventExpression, sensorExpression)) {}
|
||||
|
||||
/**
|
||||
* Constructor with fixed sensor
|
||||
* @param eventExpression expression yielding an event
|
||||
* @param sensor a known sensor location
|
||||
* @param toaMeasurement time of arrival at sensor
|
||||
* @param model noise model
|
||||
* @param toa optional time of arrival functor
|
||||
*/
|
||||
TOAFactor(const Expression<Event>& eventExpression, const Point3& sensor,
|
||||
double toaMeasurement, const SharedNoiseModel& model,
|
||||
double speed = 330)
|
||||
: TOAFactor(eventExpression, Expression<Point3>(sensor), toaMeasurement,
|
||||
model, speed) {}
|
||||
|
||||
static void InsertEvent(Key key, const Event& event,
|
||||
boost::shared_ptr<Values> values) {
|
||||
values->insert(key, event);
|
||||
}
|
||||
};
|
||||
|
||||
} //\ namespace gtsam
|
||||
|
||||
} // namespace gtsam
|
||||
|
|
|
@ -17,15 +17,16 @@
|
|||
* @date December 2014
|
||||
*/
|
||||
|
||||
#include <gtsam_unstable/geometry/Event.h>
|
||||
#include <gtsam/nonlinear/ExpressionFactorGraph.h>
|
||||
#include <gtsam/nonlinear/expressions.h>
|
||||
#include <gtsam/nonlinear/LevenbergMarquardtOptimizer.h>
|
||||
#include <gtsam/base/numericalDerivative.h>
|
||||
#include <gtsam/nonlinear/LevenbergMarquardtOptimizer.h>
|
||||
#include <gtsam/nonlinear/NonlinearFactorGraph.h>
|
||||
#include <gtsam/nonlinear/expressions.h>
|
||||
#include <gtsam_unstable/geometry/Event.h>
|
||||
#include <gtsam_unstable/slam/TOAFactor.h>
|
||||
|
||||
#include <CppUnitLite/TestHarness.h>
|
||||
#include <boost/format.hpp>
|
||||
#include <boost/bind.hpp>
|
||||
#include <boost/format.hpp>
|
||||
|
||||
using namespace std;
|
||||
using namespace gtsam;
|
||||
|
@ -43,83 +44,59 @@ static SharedNoiseModel model(noiseModel::Isotropic::Sigma(1, 0.5 * ms));
|
|||
|
||||
static const double timeOfEvent = 25;
|
||||
static const Event exampleEvent(timeOfEvent, 1, 0, 0);
|
||||
static const Point3 microphoneAt0(0,0,0);
|
||||
static const Point3 sensorAt0(0, 0, 0);
|
||||
|
||||
//*****************************************************************************
|
||||
TEST( TOAFactor, NewWay ) {
|
||||
TEST(TOAFactor, NewWay) {
|
||||
Key key = 12;
|
||||
Event_ eventExpression(key);
|
||||
Point3_ microphoneConstant(microphoneAt0); // constant expression
|
||||
double measurement = 7;
|
||||
Double_ expression(&Event::toa, eventExpression, microphoneConstant);
|
||||
ExpressionFactor<double> factor(model, measurement, expression);
|
||||
TOAFactor factor(key, sensorAt0, measurement, model);
|
||||
}
|
||||
|
||||
//*****************************************************************************
|
||||
TEST( TOAFactor, WholeEnchilada ) {
|
||||
|
||||
static const bool verbose = false;
|
||||
|
||||
// Create microphones
|
||||
TEST(TOAFactor, WholeEnchilada) {
|
||||
// Create sensors
|
||||
const double height = 0.5;
|
||||
vector<Point3> microphones;
|
||||
microphones.push_back(Point3(0, 0, height));
|
||||
microphones.push_back(Point3(403 * cm, 0, height));
|
||||
microphones.push_back(Point3(403 * cm, 403 * cm, height));
|
||||
microphones.push_back(Point3(0, 403 * cm, 2 * height));
|
||||
EXPECT_LONGS_EQUAL(4, microphones.size());
|
||||
// microphones.push_back(Point3(200 * cm, 200 * cm, height));
|
||||
vector<Point3> sensors;
|
||||
sensors.push_back(Point3(0, 0, height));
|
||||
sensors.push_back(Point3(403 * cm, 0, height));
|
||||
sensors.push_back(Point3(403 * cm, 403 * cm, height));
|
||||
sensors.push_back(Point3(0, 403 * cm, 2 * height));
|
||||
EXPECT_LONGS_EQUAL(4, sensors.size());
|
||||
// sensors.push_back(Point3(200 * cm, 200 * cm, height));
|
||||
|
||||
// Create a ground truth point
|
||||
const double timeOfEvent = 0;
|
||||
Event groundTruthEvent(timeOfEvent, 245 * cm, 201.5 * cm, (212 - 45) * cm);
|
||||
|
||||
// Simulate simulatedTOA
|
||||
size_t K = microphones.size();
|
||||
size_t K = sensors.size();
|
||||
vector<double> simulatedTOA(K);
|
||||
TimeOfArrival toa;
|
||||
for (size_t i = 0; i < K; i++) {
|
||||
simulatedTOA[i] = groundTruthEvent.toa(microphones[i]);
|
||||
if (verbose) {
|
||||
cout << "mic" << i << " = " << microphones[i] << endl;
|
||||
cout << "z" << i << " = " << simulatedTOA[i] / ms << endl;
|
||||
}
|
||||
simulatedTOA[i] = toa(groundTruthEvent, sensors[i]);
|
||||
}
|
||||
|
||||
// Now, estimate using non-linear optimization
|
||||
ExpressionFactorGraph graph;
|
||||
NonlinearFactorGraph graph;
|
||||
Key key = 12;
|
||||
Event_ eventExpression(key);
|
||||
for (size_t i = 0; i < K; i++) {
|
||||
Point3_ microphone_i(microphones[i]); // constant expression
|
||||
Double_ predictTOA(&Event::toa, eventExpression, microphone_i);
|
||||
graph.addExpressionFactor(predictTOA, simulatedTOA[i], model);
|
||||
graph.emplace_shared<TOAFactor>(key, sensors[i], simulatedTOA[i], model);
|
||||
}
|
||||
|
||||
/// Print the graph
|
||||
if (verbose)
|
||||
GTSAM_PRINT(graph);
|
||||
|
||||
// Create initial estimate
|
||||
Values initialEstimate;
|
||||
//Event estimatedEvent(timeOfEvent -10, 200 * cm, 150 * cm, 350 * cm);
|
||||
// Event estimatedEvent(timeOfEvent -10, 200 * cm, 150 * cm, 350 * cm);
|
||||
Vector4 delta;
|
||||
delta << 0.1, 0.1, -0.1, 0.1;
|
||||
Event estimatedEvent = groundTruthEvent.retract(delta);
|
||||
initialEstimate.insert(key, estimatedEvent);
|
||||
|
||||
// Print
|
||||
if (verbose)
|
||||
initialEstimate.print("Initial Estimate:\n");
|
||||
|
||||
// Optimize using Levenberg-Marquardt optimization.
|
||||
LevenbergMarquardtParams params;
|
||||
params.setAbsoluteErrorTol(1e-10);
|
||||
if (verbose)
|
||||
params.setVerbosity("ERROR");
|
||||
LevenbergMarquardtOptimizer optimizer(graph, initialEstimate, params);
|
||||
Values result = optimizer.optimize();
|
||||
if (verbose)
|
||||
result.print("Final Result:\n");
|
||||
|
||||
EXPECT(assert_equal(groundTruthEvent, result.at<Event>(key), 1e-6));
|
||||
}
|
||||
|
@ -129,4 +106,3 @@ int main() {
|
|||
return TestRegistry::runAllTests(tr);
|
||||
}
|
||||
//*****************************************************************************
|
||||
|
||||
|
|
|
@ -0,0 +1 @@
|
|||
Subproject commit b3bf248eec9cad8260753c982e1ae6cb72fff470
|
Loading…
Reference in New Issue