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OdometryFactor2D.h
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OdometryFactor2D.h
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/***************************************************************************
* libRSF - A Robust Sensor Fusion Library
*
* Copyright (C) 2023 Chair of Automation Technology / TU Chemnitz
* For more information see https://www.tu-chemnitz.de/etit/proaut/libRSF
*
* libRSF is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* libRSF is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with libRSF. If not, see <http://www.gnu.org/licenses/>.
*
* Author: Tim Pfeifer ([email protected])
***************************************************************************/
/**
* @file OdometryFactor2D.h
* @author Tim Pfeifer
* @date 18.09.2018
* @brief A Factor that connects two 2D poses with a X/Y-velocity and turn rate measurement.
* @copyright GNU Public License.
*
*/
#ifndef ODOMETRYFACTOR2D_H
#define ODOMETRYFACTOR2D_H
#include "BaseFactor.h"
#include "../Geometry.h"
namespace libRSF
{
template <typename ErrorType>
class OdometryFactor2D : public BaseFactor<ErrorType, true, true, 2, 1, 2, 1>
{
public:
/** construct factor and store measurement */
OdometryFactor2D(ErrorType &Error, const Data &OdometryMeasurement, double DeltaTime)
{
this->Error_ = Error;
this->MeasurementVector_.resize(3);
this->MeasurementVector_ = OdometryMeasurement.getMean();
this->DeltaTime_ = DeltaTime;
}
/** geometric error model */
template <typename T>
VectorT<T, 3> Evaluate(const T* const Point1, const T* const Yaw1,
const T* const Point2, const T* const Yaw2) const
{
VectorRefConst<T, 2> P1(Point1);
VectorRefConst<T, 2> P2(Point2);
const Rotation2DT<T> R1(Yaw1[0]);
const Rotation2DT<T> R2(Yaw2[0]);
VectorT<T, 3> Error;
VectorT<T, 3> RelPose;
/** translation */
RelPose.head(2) = (R1.inverse() * (P2 - P1));
RelPose = RelativeMotion2D(Point1, Yaw1, Point2, Yaw2);
/** rotation */
RelPose(2) = Yaw2[0] - Yaw1[0];
/** subtract odometry */
Error = RelPose - (this->DeltaTime_ * this->MeasurementVector_).template cast<T>();
/** normalize angle error */
Error(2) = NormalizeAngle<T>(Error(2));
/** transform in measurement (velocity) domain */
Error /= T(this->DeltaTime_);
return Error;
}
/** combine probabilistic and geometric model */
template <typename T, typename... ParamsType>
bool operator()(const T* const Point1, const T* const Yaw1,
const T* const Point2, const T* const Yaw2,
ParamsType... Params) const
{
return this->Error_.template weight<T>(this->Evaluate(Point1, Yaw1, Point2, Yaw2),
Params...);
}
/** predict the next state for initialization, order is the same as for Evaluate() */
void predict(const std::vector<double*> &StatePointers) const
{
/** map pointer to vectors */
VectorRefConst<double, 2> P1(StatePointers.at(0));
VectorRefConst<double, 1> Yaw1(StatePointers.at(1));
VectorRef<double, 2> P2(StatePointers.at(2));
VectorRef<double, 1> Yaw2(StatePointers.at(3));
/** map to rotation */
const Rotation2DT<double> R1(Yaw1(0));
const Rotation2DT<double> ROdom(this->MeasurementVector_(2) * this->DeltaTime_);
P2 = P1 + R1 * this->MeasurementVector_.head(2) * this->DeltaTime_;
Yaw2(0) = (ROdom * R1).angle();
}
};
/** compile time mapping from factor type enum to corresponding factor class */
template<typename ErrorType>
struct FactorTypeTranslator<FactorType::Odom2, ErrorType> {using Type = OdometryFactor2D<ErrorType>;};
}
#endif // ODOMETRYFACTOR2D_H