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										 |  |  | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% | 
					
						
							|  |  |  | % GTSAM Copyright 2010, Georgia Tech Research Corporation, | 
					
						
							|  |  |  | % Atlanta, Georgia 30332-0415 | 
					
						
							|  |  |  | % All Rights Reserved | 
					
						
							|  |  |  | % Authors: Frank Dellaert, et al. (see THANKS for the full author list) | 
					
						
							|  |  |  | % | 
					
						
							|  |  |  | % See LICENSE for the license information | 
					
						
							|  |  |  | % | 
					
						
							|  |  |  | % @brief Simple 2D robotics example using the SimpleSPCGSolver | 
					
						
							|  |  |  | % @author Yong-Dian Jian | 
					
						
							|  |  |  | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% | 
					
						
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							|  |  |  | %% Assumptions | 
					
						
							|  |  |  | %  - All values are axis aligned | 
					
						
							|  |  |  | %  - Robot poses are facing along the X axis (horizontal, to the right in images) | 
					
						
							|  |  |  | %  - We have full odometry for measurements | 
					
						
							|  |  |  | %  - The robot is on a grid, moving 2 meters each step | 
					
						
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							|  |  |  | %% Create graph container and add factors to it | 
					
						
							|  |  |  | graph = pose2SLAMGraph; | 
					
						
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							|  |  |  | %% Add prior | 
					
						
							|  |  |  | % gaussian for prior | 
					
						
							|  |  |  | priorMean = gtsamPose2(0.0, 0.0, 0.0); % prior at origin | 
					
						
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										 |  |  | priorNoise = gtsamnoiseModelDiagonal_Sigmas([0.3; 0.3; 0.1]); | 
					
						
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										 |  |  | graph.addPrior(1, priorMean, priorNoise); % add directly to graph | 
					
						
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							|  |  |  | %% Add odometry | 
					
						
							|  |  |  | % general noisemodel for odometry | 
					
						
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										 |  |  | odometryNoise = gtsamnoiseModelDiagonal_Sigmas([0.2; 0.2; 0.1]); | 
					
						
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										 |  |  | graph.addOdometry(1, 2, gtsamPose2(2.0, 0.0, 0.0 ), odometryNoise); | 
					
						
							|  |  |  | graph.addOdometry(2, 3, gtsamPose2(2.0, 0.0, pi/2), odometryNoise); | 
					
						
							|  |  |  | graph.addOdometry(3, 4, gtsamPose2(2.0, 0.0, pi/2), odometryNoise); | 
					
						
							|  |  |  | graph.addOdometry(4, 5, gtsamPose2(2.0, 0.0, pi/2), odometryNoise); | 
					
						
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							|  |  |  | %% Add pose constraint | 
					
						
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										 |  |  | model = gtsamnoiseModelDiagonal_Sigmas([0.2; 0.2; 0.1]); | 
					
						
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										 |  |  | graph.addConstraint(5, 2, gtsamPose2(2.0, 0.0, pi/2), model); | 
					
						
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							|  |  |  | % print | 
					
						
							|  |  |  | graph.print(sprintf('\nFactor graph:\n')); | 
					
						
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							|  |  |  | %% Initialize to noisy points | 
					
						
							|  |  |  | initialEstimate = pose2SLAMValues; | 
					
						
							|  |  |  | initialEstimate.insertPose(1, gtsamPose2(0.5, 0.0, 0.2 )); | 
					
						
							|  |  |  | initialEstimate.insertPose(2, gtsamPose2(2.3, 0.1,-0.2 )); | 
					
						
							|  |  |  | initialEstimate.insertPose(3, gtsamPose2(4.1, 0.1, pi/2)); | 
					
						
							|  |  |  | initialEstimate.insertPose(4, gtsamPose2(4.0, 2.0, pi  )); | 
					
						
							|  |  |  | initialEstimate.insertPose(5, gtsamPose2(2.1, 2.1,-pi/2)); | 
					
						
							|  |  |  | initialEstimate.print(sprintf('\nInitial estimate:\n')); | 
					
						
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							|  |  |  | %% Optimize using Levenberg-Marquardt optimization with an ordering from colamd | 
					
						
							|  |  |  | result = graph.optimizeSPCG(initialEstimate); | 
					
						
							|  |  |  | result.print(sprintf('\nFinal result:\n')); |