24 lines
		
	
	
		
			667 B
		
	
	
	
		
			Plaintext
		
	
	
			
		
		
	
	
			24 lines
		
	
	
		
			667 B
		
	
	
	
		
			Plaintext
		
	
	
| >> priorNoise
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| diagonal sigmas [0.3; 0.3; 0.1];
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| 
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| >> graph
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| size: 6
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| factor 0: PriorFactor on 1
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|   prior mean: (0, 0, 0)
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|   noise model: diagonal sigmas [0.3; 0.3; 0.1];
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| factor 1: BetweenFactor(1,2)
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|   measured: (2, 0, 0)
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|   noise model: diagonal sigmas [0.2; 0.2; 0.1];
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| factor 2: BetweenFactor(2,3)
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|   measured: (2, 0, 1.6)
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|   noise model: diagonal sigmas [0.2; 0.2; 0.1];
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| factor 3: BetweenFactor(3,4)
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|   measured: (2, 0, 1.6)
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|   noise model: diagonal sigmas [0.2; 0.2; 0.1];
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| factor 4: BetweenFactor(4,5)
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|   measured: (2, 0, 1.6)
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|   noise model: diagonal sigmas [0.2; 0.2; 0.1];
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| factor 5: BetweenFactor(5,2)
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|   measured: (2, 0, 1.6)
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|   noise model: diagonal sigmas [0.2; 0.2; 0.1];
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