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								/**
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								 * @file    simulated2D.h
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								 * @brief   measurement functions and derivatives for simulated 2D robot
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								 * @author  Frank Dellaert
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								 */
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								// \callgraph
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								#pragma once
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								#include "Point2.h"
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								#include "TupleConfig.h"
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								#include "NonlinearFactor.h"
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								// \namespace
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											2010-01-18 13:38:53 +08:00
										 
									 
								 
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								namespace gtsam {
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									namespace simulated2D {
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												Large gtsam refactoring
To support faster development *and* better performance Richard and I pushed through a large refactoring of NonlinearFactors.
The following are the biggest changes:
1) NonLinearFactor1 and NonLinearFactor2 are now templated on Config, Key type, and X type, where X is the argument to the measurement function.
2) The measurement itself is no longer kept in the nonlinear factor. Instead, a derived class (see testVSLAMFactor, testNonlinearEquality, testPose3Factor etc...) has to implement a function to compute the errors, "evaluateErrors". Instead of (h(x)-z), it needs to return (z-h(x)), so Ax-b is an approximation of the error. IMPORTANT: evaluateErrors needs - if asked - *combine* the calculation of the function value h(x) and the derivatives dh(x)/dx. This was a major performance issue. To do this, boost::optional<Matrix&> arguments are provided, and tin EvaluateErrors you just  says something like
	if (H) *H = Matrix_(3,6,....);
3) We are no longer using int or strings for nonlinear factors. Instead, the preferred key type is now Symbol, defined in Key.h. This is both fast and cool: you can construct it from an int, and cast it to a strong. It also does type checking: a Symbol<Pose3,'x'> will not match a Symbol<Pose2,'x'>
4) minor: take a look at LieConfig.h: it help you avoid writing a lot of code bu automatically creating configs for a certain type. See e.g. Pose3Config.h. A "double" LieConfig is on the way - Thanks Richard and Manohar !
											
										 
										
											2010-01-14 06:25:03 +08:00
										 
									 
								 
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										// Simulated2D robots have no orientation, just a position
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										typedef TypedSymbol<Point2, 'x'> PoseKey;
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										typedef TypedSymbol<Point2, 'l'> PointKey;
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										typedef PairConfig<PoseKey, Point2, PointKey, Point2> Config;
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										/**
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										 * Prior on a single pose, and optional derivative version
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										 */
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										inline Point2 prior(const Point2& x) {
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											return x;
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										}
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										Point2 prior(const Point2& x, boost::optional<Matrix&> H = boost::none);
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										/**
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										 * odometry between two poses, and optional derivative version
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										 */
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										inline Point2 odo(const Point2& x1, const Point2& x2) {
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											return x2 - x1;
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										}
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										Point2 odo(const Point2& x1, const Point2& x2, boost::optional<Matrix&> H1 =
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												boost::none, boost::optional<Matrix&> H2 = boost::none);
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										/**
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										 *  measurement between landmark and pose, and optional derivative version
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										 */
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										inline Point2 mea(const Point2& x, const Point2& l) {
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											return l - x;
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										}
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										Point2 mea(const Point2& x, const Point2& l, boost::optional<Matrix&> H1 =
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												boost::none, boost::optional<Matrix&> H2 = boost::none);
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										/**
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										 * Unary factor encoding a soft prior on a vector
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										 */
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										struct Prior: public NonlinearFactor1<Config, PoseKey, Point2> {
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											Point2 z_;
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											Prior(const Point2& z, const SharedGaussian& model, const PoseKey& key) :
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												NonlinearFactor1<Config, PoseKey, Point2> (model, key), z_(z) {
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											}
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											Vector evaluateError(const Point2& x, boost::optional<Matrix&> H =
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													boost::none) const {
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												return (prior(x, H) - z_).vector();
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											}
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										};
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										/**
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										 * Binary factor simulating "odometry" between two Vectors
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										 */
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										struct Odometry: public NonlinearFactor2<Config, PoseKey, Point2, PoseKey,
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												Point2> {
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											Point2 z_;
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											Odometry(const Point2& z, const SharedGaussian& model, const PoseKey& j1,
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													const PoseKey& j2) :
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												z_(z), NonlinearFactor2<Config, PoseKey, Point2, PoseKey, Point2> (
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														model, j1, j2) {
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											}
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											Vector evaluateError(const Point2& x1, const Point2& x2, boost::optional<
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													Matrix&> H1 = boost::none, boost::optional<Matrix&> H2 = boost::none) const {
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												return (odo(x1, x2, H1, H2) - z_).vector();
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											}
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										};
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										/**
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										 * Binary factor simulating "measurement" between two Vectors
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										 */
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										struct Measurement: public NonlinearFactor2<Config, PoseKey, Point2,
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												PointKey, Point2> {
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											Point2 z_;
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											Measurement(const Point2& z, const SharedGaussian& model,
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													const PoseKey& j1, const PointKey& j2) :
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												z_(z), NonlinearFactor2<Config, PoseKey, Point2, PointKey, Point2> (
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														model, j1, j2) {
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											}
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											Vector evaluateError(const Point2& x1, const Point2& x2, boost::optional<
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													Matrix&> H1 = boost::none, boost::optional<Matrix&> H2 = boost::none) const {
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												return (mea(x1, x2, H1, H2) - z_).vector();
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											}
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										};
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												Large gtsam refactoring
To support faster development *and* better performance Richard and I pushed through a large refactoring of NonlinearFactors.
The following are the biggest changes:
1) NonLinearFactor1 and NonLinearFactor2 are now templated on Config, Key type, and X type, where X is the argument to the measurement function.
2) The measurement itself is no longer kept in the nonlinear factor. Instead, a derived class (see testVSLAMFactor, testNonlinearEquality, testPose3Factor etc...) has to implement a function to compute the errors, "evaluateErrors". Instead of (h(x)-z), it needs to return (z-h(x)), so Ax-b is an approximation of the error. IMPORTANT: evaluateErrors needs - if asked - *combine* the calculation of the function value h(x) and the derivatives dh(x)/dx. This was a major performance issue. To do this, boost::optional<Matrix&> arguments are provided, and tin EvaluateErrors you just  says something like
	if (H) *H = Matrix_(3,6,....);
3) We are no longer using int or strings for nonlinear factors. Instead, the preferred key type is now Symbol, defined in Key.h. This is both fast and cool: you can construct it from an int, and cast it to a strong. It also does type checking: a Symbol<Pose3,'x'> will not match a Symbol<Pose2,'x'>
4) minor: take a look at LieConfig.h: it help you avoid writing a lot of code bu automatically creating configs for a certain type. See e.g. Pose3Config.h. A "double" LieConfig is on the way - Thanks Richard and Manohar !
											
										 
										
											2010-01-14 06:25:03 +08:00
										 
									 
								 
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									} // namespace simulated2D
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								} // namespace gtsam
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