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