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										 |  |  | This directory contains a number of exapmples that illustrate the use of GTSAM: | 
					
						
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							|  |  |  | SimpleRotation:  a super-simple example of optimizing a single rotation according to a single prior | 
					
						
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										 |  |  | Kalman Filter Examples | 
					
						
							|  |  |  | ====================== | 
					
						
							|  |  |  | elaboratePoint2KalmanFilter: simple linear Kalman filter on a moving 2D point, but done using factor graphs | 
					
						
							|  |  |  | easyPoint2KalmanFilter: uses the cool generic templated Kalman filter class to do the same | 
					
						
							|  |  |  | fullStateKalmanFilter: simple 1D example with a full-state filter | 
					
						
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										 |  |  | errorStateKalmanFilter: simple 1D example of a moving target measured by a accelerometer, incl. drift-rate bias | 
					
						
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										 |  |  | 2D Pose SLAM  | 
					
						
							|  |  |  | ============ | 
					
						
							|  |  |  | Pose2SLAMExample_easy: A 2D Pose SLAM example using the predefined typedefs in gtsam/slam/pose2SLAM.h | 
					
						
							|  |  |  | Pose2SLAMExample_advanced: same, but uses an Optimizer object | 
					
						
							|  |  |  | Pose2SLAMwSPCG_easy: solve a simple 3 by 3 grid of Pose2 SLAM problem by using easy SPCG interface | 
					
						
							|  |  |  | Pose2SLAMwSPCG_advanced: solve a simple 3 by 3 grid of Pose2 SLAM problem by using advanced SPCG interface | 
					
						
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							|  |  |  | Planar SLAM with landmarks | 
					
						
							|  |  |  | ========================== | 
					
						
							|  |  |  | PlanarSLAMExample: simple robotics example using the pre-built planar SLAM domain | 
					
						
							|  |  |  | PlanarSLAMSelfContained_advanced: simple robotics example with all typedefs internal to this script. | 
					
						
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							|  |  |  | Visual SLAM | 
					
						
							|  |  |  | =========== | 
					
						
							|  |  |  | The directory vSLAMexample includes 2 simple examples using GTSAM: | 
					
						
							|  |  |  | - vSFMexample using visualSLAM in for structure-from-motion (SFM), and | 
					
						
							|  |  |  | - vISAMexample using visualSLAM and ISAM for incremental SLAM updates | 
					
						
							|  |  |  | See the separate README file there. |