35 lines
		
	
	
		
			1.3 KiB
		
	
	
	
		
			Matlab
		
	
	
			
		
		
	
	
			35 lines
		
	
	
		
			1.3 KiB
		
	
	
	
		
			Matlab
		
	
	
| function [ data ] = VisualISAMData_cube()
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| %VISUALISAMDATA_TRIANGLE Generate data for visual ISAM triangle example.
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| %   Landmarks include 3 points around the world's origin on the z=0 plane. 
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| %   Cameras are on a circle at a certain height, looking at the origin.
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| %% Create a triangle target, just 3 points on a plane
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| nPoints = 8;
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| data.points = {gtsamPoint3([10 10 10]'),...
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|         gtsamPoint3([-10 10 10]'),...
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|         gtsamPoint3([-10 -10 10]'),...
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|         gtsamPoint3([10 -10 10]'),...
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|         gtsamPoint3([10 10 -10]'),...
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|         gtsamPoint3([-10 10 -10]'),...
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|         gtsamPoint3([-10 -10 -10]'),...
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|         gtsamPoint3([10 -10 -10]')};
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| 
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| %% Create camera cameras on a circle around the triangle
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| nCameras = 10;
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| height = 0;
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| r = 30;
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| data.cameras = {};
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| data.K = gtsamCal3_S2(500,500,0,640/2,480/2);
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| for i=1:nCameras
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|     theta = (i-1)*2*pi/nCameras;
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|     t = gtsamPoint3([r*cos(theta), r*sin(theta), height]');
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|     data.cameras{i} = gtsamSimpleCamera_lookat(t, gtsamPoint3, gtsamPoint3([0,0,1]'), data.K);
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| end
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| 
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| data.posePriorNoise = gtsamSharedNoiseModel_Sigmas([0.001 0.001 0.001 5.0 5.0 5.0]');
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| data.odometryNoise = gtsamSharedNoiseModel_Sigmas([0.001 0.001 0.001 2.0 2.0 2.0]');
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| data.pointPriorNoise = gtsamSharedNoiseModel_Sigma(3, 0.1);
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| data.measurementNoise = gtsamSharedNoiseModel_Sigma(2, 1.0);
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| 
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| end
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| 
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