CObservation2DRangeScanWithUncertainty.h

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/* +------------------------------------------------------------------------+
   |                     Mobile Robot Programming Toolkit (MRPT)            |
   |                          http://www.mrpt.org/                          |
   |                                                                        |
   | Copyright (c) 2005-2018, Individual contributors, see AUTHORS file     |
   | See: http://www.mrpt.org/Authors - All rights reserved.                |
   | Released under BSD License. See details in http://www.mrpt.org/License |
   +------------------------------------------------------------------------+ */
#ifndef CObservation2DRangeScanWithUncertainty_H
#define CObservation2DRangeScanWithUncertainty_H
 
#include <mrpt/obs/CObservation2DRangeScan.h>
#include <vector>
 
namespace mrpt
{
namespace obs
{
/** A 2D range scan plus an uncertainty model for each range.
  * \sa mrpt::maps::COccupancyGridMap2D::laserScanSimulatorWithUncertainty()
  */
class CObservation2DRangeScanWithUncertainty
{
   public:
        /** The observation with the mean ranges in the scan field */
        CObservation2DRangeScan rangeScan;
        /** The same ranges than in rangeScan.scan[], for convenience as an Eigen
         * container, and with `double` precision */
        Eigen::VectorXd rangesMean;
        /** The covariance matrix for all the ranges in rangeScan.scan[] */
        Eigen::MatrixXd rangesCovar;
 
        struct TEvalParams
        {
                /** (Default: 0.5) Probability of having an outlier (dynamic obstacles,
                 * not mapped) in each scan ray. */
                double prob_outliers;
                /** (Default: 0.3) Conditional probability: how many of the "no return"
                 * ranges come from a failure to detect a real obstacle. */
                double prob_lost_ray;
                /** (Default: 1.0m) Maximum std deviation of overall uncertainty for a
                 * range prediction to be considered as reliable for evaluation */
                double max_prediction_std_dev;
                /** (Default: -20) Minimum log-likelihood of a single ray */
                double min_ray_log_lik;
 
                TEvalParams();
        };
 
        /** Returns a measure of the likelihood of a given scan, compared to this
         * scan variances */
        double evaluateScanLikelihood(
                const CObservation2DRangeScan& otherScan,
                const TEvalParams& params) const;
};
 
}  // End of namespace
}  // End of namespace
#endif