Integration of OpenCV's ArUco Marker Detection (see new parameter "RGBD/MarkerDetection")

This commit is contained in:
matlabbe
2019-02-18 18:19:55 -05:00
parent 08f3e6c08e
commit d6ca37a9e7
18 changed files with 859 additions and 23 deletions

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@@ -49,12 +49,12 @@ public:
UASSERT(id_>0);
UASSERT(!pose_.isNull());
UASSERT(covariance_.cols == 6 && covariance_.rows == 6 && covariance_.type() == CV_64FC1);
UASSERT_MSG(uIsFinite(covariance_.at<double>(0,0)) && covariance_.at<double>(0,0)>0, uFormat("Linear covariance should not be null! Value=%f (set to 1 if unknown).", covariance_.at<double>(0,0)).c_str());
UASSERT_MSG(uIsFinite(covariance_.at<double>(1,1)) && covariance_.at<double>(1,1)>0, uFormat("Linear covariance should not be null! Value=%f (set to 1 if unknown).", covariance_.at<double>(1,1)).c_str());
UASSERT_MSG(uIsFinite(covariance_.at<double>(2,2)) && covariance_.at<double>(2,2)>0, uFormat("Linear covariance should not be null! Value=%f (set to 1 if unknown).", covariance_.at<double>(2,2)).c_str());
UASSERT_MSG(uIsFinite(covariance_.at<double>(3,3)) && covariance_.at<double>(3,3)>0, uFormat("Angular covariance should not be null! Value=%f (set to 1 if unknown).", covariance_.at<double>(3,3)).c_str());
UASSERT_MSG(uIsFinite(covariance_.at<double>(4,4)) && covariance_.at<double>(4,4)>0, uFormat("Angular covariance should not be null! Value=%f (set to 1 if unknown).", covariance_.at<double>(4,4)).c_str());
UASSERT_MSG(uIsFinite(covariance_.at<double>(5,5)) && covariance_.at<double>(5,5)>0, uFormat("Angular covariance should not be null! Value=%f (set to 1 if unknown).", covariance_.at<double>(5,5)).c_str());
UASSERT_MSG(uIsFinite(covariance_.at<double>(0,0)) && covariance_.at<double>(0,0)>0, uFormat("Linear covariance should not be null! Value=%f.", covariance_.at<double>(0,0)).c_str());
UASSERT_MSG(uIsFinite(covariance_.at<double>(1,1)) && covariance_.at<double>(1,1)>0, uFormat("Linear covariance should not be null! Value=%f.", covariance_.at<double>(1,1)).c_str());
UASSERT_MSG(uIsFinite(covariance_.at<double>(2,2)) && covariance_.at<double>(2,2)>0, uFormat("Linear covariance should not be null! Value=%f.", covariance_.at<double>(2,2)).c_str());
UASSERT_MSG(uIsFinite(covariance_.at<double>(3,3)) && covariance_.at<double>(3,3)>0, uFormat("Angular covariance should not be null! Value=%f (set to 9999 if unknown).", covariance_.at<double>(3,3)).c_str());
UASSERT_MSG(uIsFinite(covariance_.at<double>(4,4)) && covariance_.at<double>(4,4)>0, uFormat("Angular covariance should not be null! Value=%f (set to 9999 if unknown).", covariance_.at<double>(4,4)).c_str());
UASSERT_MSG(uIsFinite(covariance_.at<double>(5,5)) && covariance_.at<double>(5,5)>0, uFormat("Angular covariance should not be null! Value=%f (set to 9999 if unknown).", covariance_.at<double>(5,5)).c_str());
}
virtual ~Landmark() {}

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@@ -0,0 +1,59 @@
/*
Copyright (c) 2010-2019, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:
* Redistributions of source code must retain the above copyright
notice, this list of conditions and the following disclaimer.
* Redistributions in binary form must reproduce the above copyright
notice, this list of conditions and the following disclaimer in the
documentation and/or other materials provided with the distribution.
* Neither the name of the Universite de Sherbrooke nor the
names of its contributors may be used to endorse or promote products
derived from this software without specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY
DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
(INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
*/
#ifndef CORELIB_INCLUDE_RTABMAP_CORE_MARKERDETECTOR_H_
#define CORELIB_INCLUDE_RTABMAP_CORE_MARKERDETECTOR_H_
#include <rtabmap/core/Parameters.h>
#include <rtabmap/core/CameraModel.h>
#include <opencv2/opencv_modules.hpp>
#ifdef HAVE_OPENCV_ARUCO
#include <opencv2/aruco.hpp>
#endif
namespace rtabmap {
class MarkerDetector {
public:
MarkerDetector(const ParametersMap & parameters = ParametersMap());
virtual ~MarkerDetector();
void parseParameters(const ParametersMap & parameters);
std::map<int, Transform> detect(const cv::Mat & image, const CameraModel & model, cv::Mat * imageWithDetections = 0);
private:
#ifdef HAVE_OPENCV_ARUCO
cv::Ptr<cv::aruco::DetectorParameters> detectorParams_;
float markerLength_;
int dictionaryId_;
cv::Ptr<cv::aruco::Dictionary> dictionary_;
#endif
};
} /* namespace rtabmap */
#endif /* CORELIB_INCLUDE_RTABMAP_CORE_MARKERDETECTOR_H_ */

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@@ -57,6 +57,7 @@ class RegistrationInfo;
class RegistrationIcp;
class Stereo;
class OccupancyGrid;
class MarkerDetector;
class RTABMAP_EXP Memory
{
@@ -316,6 +317,9 @@ private:
bool _imagesAlreadyRectified;
bool _rectifyOnlyFeatures;
bool _covOffDiagonalIgnored;
bool _detectMarkers;
float _markerLinVariance;
float _markerAngVariance;
int _idCount;
int _idMapCount;
@@ -349,6 +353,8 @@ private:
RegistrationIcp * _registrationIcpMulti;
OccupancyGrid * _occupancy;
MarkerDetector * _markerDetector;
};
} // namespace rtabmap

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@@ -355,6 +355,7 @@ class RTABMAP_EXP Parameters
RTABMAP_PARAM(RGBD, LoopClosureReextractFeatures, bool, false, "Extract features even if there are some already in the nodes.");
RTABMAP_PARAM(RGBD, LocalBundleOnLoopClosure, bool, false, "Do local bundle adjustment with neighborhood of the loop closure.");
RTABMAP_PARAM(RGBD, CreateOccupancyGrid, bool, false, "Create local occupancy grid maps. See \"Grid\" group for parameters.");
RTABMAP_PARAM(RGBD, MarkerDetection, bool, false, "Detect static markers to be added as landmarks for graph optimization. If input data have already landmarks, this will be ignored. See \"Aruco\" group for parameters.");
RTABMAP_PARAM(RGBD, LoopCovLimited, bool, false, "Limit covariance of non-neighbor links to minimum covariance of neighbor links. In other words, if covariance of a loop closure link is smaller than the minimum covariance of odometry links, its covariance is set to minimum covariance of odometry links.");
// Local/Proximity loop closure detection
@@ -709,6 +710,12 @@ class RTABMAP_EXP Parameters
RTABMAP_PARAM(GridGlobal, ProbClampingMin, float, 0.1192, "Probability clamping minimum (value between 0 and 1).");
RTABMAP_PARAM(GridGlobal, ProbClampingMax, float, 0.971, "Probability clamping maximum (value between 0 and 1).");
RTABMAP_PARAM(Aruco, Dictionary, int, 0, "Dictionary to use: DICT_4X4_50=0, DICT_4X4_100=1, DICT_4X4_250=2, DICT_4X4_1000=3, DICT_5X5_50=4, DICT_5X5_100=5, DICT_5X5_250=6, DICT_5X5_1000=7, DICT_6X6_50=8, DICT_6X6_100=9, DICT_6X6_250=10, DICT_6X6_1000=11, DICT_7X7_50=12, DICT_7X7_100=13, DICT_7X7_250=14, DICT_7X7_1000=15, DICT_ARUCO_ORIGINAL = 16, DICT_APRILTAG_16h5=17, DICT_APRILTAG_25h9=18, DICT_APRILTAG_36h10=19, DICT_APRILTAG_36h11=20");
RTABMAP_PARAM(Aruco, MarkerLength, float, 0.1, "The length (m) of the markers' side.");
RTABMAP_PARAM(Aruco, VarianceLinear, float, 0.001, "Linear variance to set on marker detections.");
RTABMAP_PARAM(Aruco, VarianceAngular, float, 0.001, "Angular variance to set on marker detections. Set to >=9999 to use only position (xyz) constraint in graph optimization.");
RTABMAP_PARAM(Aruco, CornerRefinementMethod, int, 0, "Corner refinement method (0: None, 1: Subpixel, 2:contour, 3: AprilTag 2)");
public:
virtual ~Parameters();

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@@ -147,6 +147,7 @@ class RTABMAP_EXP Statistics
RTABMAP_STATS(TimingMem, Post_decimation, ms);
RTABMAP_STATS(TimingMem, Scan_filtering, ms);
RTABMAP_STATS(TimingMem, Occupancy_grid, ms);
RTABMAP_STATS(TimingMem, Markers_detection, ms);
RTABMAP_STATS(Keypoint, Dictionary_size, words);
RTABMAP_STATS(Keypoint, Indexed_words, words);