53 lines
		
	
	
		
			1.9 KiB
		
	
	
	
		
			Matlab
		
	
	
			
		
		
	
	
			53 lines
		
	
	
		
			1.9 KiB
		
	
	
	
		
			Matlab
		
	
	
| %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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| % GTSAM Copyright 2010, Georgia Tech Research Corporation, 
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| % Atlanta, Georgia 30332-0415
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| % All Rights Reserved
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| % Authors: Frank Dellaert, et al. (see THANKS for the full author list)
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| % 
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| % See LICENSE for the license information
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| %
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| % @brief Example of a simple 2D localization example
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| % @author Frank Dellaert
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| %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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| 
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| import gtsam.*
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| 
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| %% Create the graph (defined in pose2SLAM.h, derived from NonlinearFactorGraph)
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| graph = NonlinearFactorGraph;
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| 
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| %% Add two odometry factors
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| odometry = Pose2(2.0, 0.0, 0.0); % create a measurement for both factors (the same in this case)
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| odometryNoise = noiseModel.Diagonal.Sigmas([0.2; 0.2; 0.1]); % 20cm std on x,y, 0.1 rad on theta
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| graph.add(BetweenFactorPose2(1, 2, odometry, odometryNoise));
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| graph.add(BetweenFactorPose2(2, 3, odometry, odometryNoise));
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| 
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| %% Add three "GPS" measurements
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| % We use Pose2 Priors here with high variance on theta
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| groundTruth = Values;
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| groundTruth.insert(1, Pose2(0.0, 0.0, 0.0));
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| groundTruth.insert(2, Pose2(2.0, 0.0, 0.0));
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| groundTruth.insert(3, Pose2(4.0, 0.0, 0.0));
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| model = noiseModel.Diagonal.Sigmas([0.1; 0.1; 10]);
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| for i=1:3
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|     graph.add(PriorFactorPose2(i, groundTruth.atPose2(i), model));
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| end
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| 
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| %% Initialize to noisy points
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| initialEstimate = Values;
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| initialEstimate.insert(1, Pose2(0.5, 0.0, 0.2));
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| initialEstimate.insert(2, Pose2(2.3, 0.1,-0.2));
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| initialEstimate.insert(3, Pose2(4.1, 0.1, 0.1));
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| 
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| %% Optimize using Levenberg-Marquardt optimization with an ordering from colamd
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| optimizer = LevenbergMarquardtOptimizer(graph, initialEstimate);
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| result = optimizer.optimizeSafely();
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| 
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| %% Plot Covariance Ellipses
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| marginals = Marginals(graph, result);
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| P={};
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| for i=1:result.size()
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|     pose_i = result.atPose2(i);
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|     CHECK('pose_i.equals(groundTruth.pose(i)',pose_i.equals(groundTruth.atPose2(i),1e-4));
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|     P{i}=marginals.marginalCovariance(i);
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| end
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