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https://github.com/introlab/rtabmap.git
synced 2026-09-02 01:20:25 +08:00
Refactored motion estimation parameters in the GUI.
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@@ -178,7 +178,6 @@ public:
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float getBowInlierDistance() const {return _bowInlierDistance;}
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int getBowIterations() const {return _bowIterations;}
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int getBowMinInliers() const {return _bowMinInliers;}
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float getBowMaxDepth() const {return _bowMaxDepth;}
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bool getBowForce2D() const {return _bowForce2D;}
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Transform computeVisualTransform(int oldId, int newId, std::string * rejectedMsg = 0, int * inliers = 0, double * variance = 0) const;
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Transform computeVisualTransform(const Signature & oldS, const Signature & newS, std::string * rejectedMsg = 0, int * inliers = 0, double * variance = 0) const;
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@@ -271,11 +270,10 @@ private:
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int _bowMinInliers;
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float _bowInlierDistance;
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int _bowIterations;
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float _bowMaxDepth;
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int _bowRefineIterations;
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bool _bowForce2D;
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bool _bowEpipolarGeometry;
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float _bowEpipolarGeometryVar;
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bool _bowPnPEstimation;
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bool _bowEstimationType;
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double _bowPnPReprojError;
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int _bowPnPFlags;
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float _icpMaxTranslation;
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@@ -60,7 +60,7 @@ public:
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int getRefineIterations() const {return _refineIterations;}
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float getMaxDepth() const {return _maxDepth;}
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bool isInfoDataFilled() const {return _fillInfoData;}
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bool isPnPEstimationUsed() const {return _pnpEstimation;}
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bool getEstimationType() const {return _estimationType;}
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double getPnPReprojError() const {return _pnpReprojError;}
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int getPnPFlags() const {return _pnpFlags;}
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const Transform & previousTransform() const {return previousTransform_;}
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@@ -85,7 +85,7 @@ private:
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float _particleNoiseR;
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float _particleLambdaR;
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bool _fillInfoData;
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bool _pnpEstimation;
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int _estimationType;
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double _pnpReprojError;
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int _pnpFlags;
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Transform _pose;
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@@ -313,6 +313,7 @@ class RTABMAP_EXP Parameters
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// Odometry
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RTABMAP_PARAM(Odom, Strategy, int, 0, "0=Bag-of-words 1=Optical Flow");
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RTABMAP_PARAM(Odom, FeatureType, int, 6, "0=SURF 1=SIFT 2=ORB 3=FAST/FREAK 4=FAST/BRIEF 5=GFTT/FREAK 6=GFTT/BRIEF 7=BRISK.");
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RTABMAP_PARAM(Odom, EstimationType, int, 0, "Motion estimation approach: 0:3D->3D, 1:3D->2D (PnP)");
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RTABMAP_PARAM(Odom, MaxFeatures, int, 400, "0 no limits.");
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RTABMAP_PARAM(Odom, InlierDistance, float, 0.02, "Maximum distance for visual word correspondences.");
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RTABMAP_PARAM(Odom, MinInliers, int, 20, "Minimum visual word correspondences to compute geometry transform.");
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@@ -325,7 +326,6 @@ class RTABMAP_EXP Parameters
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RTABMAP_PARAM(Odom, Holonomic, bool, true, "If the robot is holonomic (strafing commands can be issued). If not, y value will be estimated from x and yaw values (y=x*tan(yaw)).");
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RTABMAP_PARAM(Odom, FillInfoData, bool, true, "Fill info with data (inliers/outliers features).");
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RTABMAP_PARAM(Odom, ImageBufferSize, unsigned int, 1, "Data buffer size (0 min inf).");
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RTABMAP_PARAM(Odom, PnPEstimation, bool, false, "(PnP) Pose estimation from 2D to 3D correspondences instead of 3D to 3D correspondences.");
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RTABMAP_PARAM(Odom, PnPReprojError, double, 5.0, "PnP reprojection error.");
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RTABMAP_PARAM(Odom, PnPFlags, int, 1, "PnP flags: 0=Iterative, 1=EPNP, 2=P3P");
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RTABMAP_PARAM(Odom, ParticleFiltering, bool, false, "Particle filtering to smooth the odometry trajectory.");
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@@ -363,14 +363,13 @@ class RTABMAP_EXP Parameters
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RTABMAP_PARAM(LccIcp, MaxTranslation, float, 0.2, "Maximum ICP translation correction accepted (m).");
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RTABMAP_PARAM(LccIcp, MaxRotation, float, 0.78, "Maximum ICP rotation correction accepted (rad).");
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RTABMAP_PARAM(LccBow, EstimationType, int, 0, "Motion estimation approach: 0:3D->3D, 1:3D->2D (PnP), 2:2D->2D (Epipolar Geometry)");
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RTABMAP_PARAM(LccBow, MinInliers, int, 20, "Minimum visual word correspondences to compute geometry transform.");
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RTABMAP_PARAM(LccBow, InlierDistance, float, 0.02, "Maximum distance for visual word correspondences.");
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RTABMAP_PARAM(LccBow, Iterations, int, 100, "Maximum iterations to compute the transform from visual words.");
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RTABMAP_PARAM(LccBow, MaxDepth, float, 4.0, "Max depth of the words (0 means no limit).");
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RTABMAP_PARAM(LccBow, Force2D, bool, false, "Force 2D transform (3Dof: x,y and yaw).");
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RTABMAP_PARAM(LccBow, EpipolarGeometry, bool, false, "Use epipolar geometry to compute the loop closure transform.");
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RTABMAP_PARAM(LccBow, RefineIterations, int, 10, "Number of iterations used to refine the transformation found by RANSAC. 0 means that the transformation is not refined.");
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RTABMAP_PARAM(LccBow, Force2D, bool, false, "Force 2D transform (3Dof: x,y and yaw).");
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RTABMAP_PARAM(LccBow, EpipolarGeometryVar, float, 0.02, "Epipolar geometry maximum variance to accept the loop closure.");
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RTABMAP_PARAM(LccBow, PnPEstimation, bool, false, "(PnP) Pose estimation from 2D to 3D correspondences instead of 3D to 3D correspondences.");
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RTABMAP_PARAM(LccBow, PnPReprojError, double, 5.0, "PnP reprojection error.");
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RTABMAP_PARAM(LccBow, PnPFlags, int, 1, "PnP flags: 0=Iterative, 1=EPNP, 2=P3P");
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RTABMAP_PARAM_COND(LccReextract, Activated, bool, RTABMAP_NONFREE, false, true, "Activate re-extracting features on global loop closure.");
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@@ -378,6 +377,7 @@ class RTABMAP_EXP Parameters
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RTABMAP_PARAM(LccReextract, NNDR, float, 0.8, "NNDR: nearest neighbor distance ratio.");
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RTABMAP_PARAM(LccReextract, FeatureType, int, 4, "0=SURF 1=SIFT 2=ORB 3=FAST/FREAK 4=FAST/BRIEF 5=GFTT/FREAK 6=GFTT/BRIEF 7=BRISK.");
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RTABMAP_PARAM(LccReextract, MaxWords, int, 600, "0 no limits.");
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RTABMAP_PARAM(LccReextract, MaxDepth, float, 0.0, "Max depth of the words (0 means no limit).");
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RTABMAP_PARAM(LccIcp3, Decimation, int, 8, "Depth image decimation.");
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RTABMAP_PARAM(LccIcp3, MaxDepth, float, 4.0, "Max cloud depth.");
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@@ -193,6 +193,7 @@ private:
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float _reextractNNDR;
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int _reextractFeatureType;
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int _reextractMaxWords;
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float _reextractMaxDepth;
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bool _startNewMapOnLoopClosure;
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float _goalReachedRadius; // meters
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bool _planVirtualLinks;
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