gtsam/gtsam/slam/BoundingConstraint.h

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/* ----------------------------------------------------------------------------
* GTSAM Copyright 2010, Georgia Tech Research Corporation,
* Atlanta, Georgia 30332-0415
* All Rights Reserved
* Authors: Frank Dellaert, et al. (see THANKS for the full author list)
* See LICENSE for the license information
* -------------------------------------------------------------------------- */
/**
* @file BoundingConstraint.h
* @brief Provides partially implemented constraints to implement bounds
* @author Alex Cunningham
*/
#pragma once
#include <gtsam/base/Lie.h>
#include <gtsam/nonlinear/NonlinearFactor.h>
namespace gtsam {
/**
* Unary inequality constraint forcing a scalar to be
* greater/less than a fixed threshold. The function
* will need to have its value function implemented to return
* a scalar for comparison.
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* @addtogroup SLAM
*/
template<class VALUE>
struct BoundingConstraint1: public NoiseModelFactor1<VALUE> {
typedef VALUE X;
typedef NoiseModelFactor1<VALUE> Base;
typedef boost::shared_ptr<BoundingConstraint1<VALUE> > shared_ptr;
double threshold_;
bool isGreaterThan_; /// flag for greater/less than
BoundingConstraint1(Key key, double threshold,
bool isGreaterThan, double mu = 1000.0) :
Base(noiseModel::Constrained::All(1, mu), key),
threshold_(threshold), isGreaterThan_(isGreaterThan) {
}
virtual ~BoundingConstraint1() {}
inline double threshold() const { return threshold_; }
inline bool isGreaterThan() const { return isGreaterThan_; }
/**
* function producing a scalar value to compare to the threshold
* Must have optional argument for derivative with 1xN matrix, where
* N = X::dim()
*/
virtual double value(const X& x, boost::optional<Matrix&> H =
boost::none) const = 0;
/** active when constraint *NOT* met */
bool active(const Values& c) const {
// note: still active at equality to avoid zigzagging
double x = value(c.at<X>(this->key()));
return (isGreaterThan_) ? x <= threshold_ : x >= threshold_;
}
Vector evaluateError(const X& x, boost::optional<Matrix&> H =
boost::none) const {
Matrix D;
double error = value(x, D) - threshold_;
if (H) {
if (isGreaterThan_) *H = D;
else *H = -1.0 * D;
}
if (isGreaterThan_)
return (Vector(1) << error).finished();
else
return -1.0 * (Vector(1) << error).finished();
}
private:
/** Serialization function */
friend class boost::serialization::access;
template<class ARCHIVE>
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void serialize(ARCHIVE & ar, const unsigned int /*version*/) {
ar & boost::serialization::make_nvp("NoiseModelFactor1",
boost::serialization::base_object<Base>(*this));
ar & BOOST_SERIALIZATION_NVP(threshold_);
ar & BOOST_SERIALIZATION_NVP(isGreaterThan_);
}
};
/**
* Binary scalar inequality constraint, with a similar value() function
* to implement for specific systems
*/
template<class VALUE1, class VALUE2>
struct BoundingConstraint2: public NoiseModelFactor2<VALUE1, VALUE2> {
typedef VALUE1 X1;
typedef VALUE2 X2;
typedef NoiseModelFactor2<VALUE1, VALUE2> Base;
typedef boost::shared_ptr<BoundingConstraint2<VALUE1, VALUE2> > shared_ptr;
double threshold_;
bool isGreaterThan_; /// flag for greater/less than
BoundingConstraint2(Key key1, Key key2, double threshold,
bool isGreaterThan, double mu = 1000.0)
: Base(noiseModel::Constrained::All(1, mu), key1, key2),
threshold_(threshold), isGreaterThan_(isGreaterThan) {}
virtual ~BoundingConstraint2() {}
inline double threshold() const { return threshold_; }
inline bool isGreaterThan() const { return isGreaterThan_; }
/**
* function producing a scalar value to compare to the threshold
* Must have optional argument for derivatives)
*/
virtual double value(const X1& x1, const X2& x2,
boost::optional<Matrix&> H1 = boost::none,
boost::optional<Matrix&> H2 = boost::none) const = 0;
/** active when constraint *NOT* met */
bool active(const Values& c) const {
// note: still active at equality to avoid zigzagging
double x = value(c.at<X1>(this->key1()), c.at<X2>(this->key2()));
return (isGreaterThan_) ? x <= threshold_ : x >= threshold_;
}
Vector evaluateError(const X1& x1, const X2& x2,
boost::optional<Matrix&> H1 = boost::none,
boost::optional<Matrix&> H2 = boost::none) const {
Matrix D1, D2;
double error = value(x1, x2, D1, D2) - threshold_;
if (H1) {
if (isGreaterThan_) *H1 = D1;
else *H1 = -1.0 * D1;
}
if (H2) {
if (isGreaterThan_) *H2 = D2;
else *H2 = -1.0 * D2;
}
if (isGreaterThan_)
return (Vector(1) << error).finished();
else
return -1.0 * (Vector(1) << error).finished();
}
private:
/** Serialization function */
friend class boost::serialization::access;
template<class ARCHIVE>
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void serialize(ARCHIVE & ar, const unsigned int /*version*/) {
ar & boost::serialization::make_nvp("NoiseModelFactor2",
boost::serialization::base_object<Base>(*this));
ar & BOOST_SERIALIZATION_NVP(threshold_);
ar & BOOST_SERIALIZATION_NVP(isGreaterThan_);
}
};
} // \namespace gtsam