GTSAM is a library of C++ classes that implement smoothing and mapping (SAM) in robotics and vision, using factor graphs and Bayes networks as the underlying computing paradigm rather than sparse matrices.
I am using develop branch and I have encountered this issue when I want to extend this example with IncrementalFixedLagSmoother. It ran a few iterations and then gave this error. Not sure how to solve it. Here I attached the response when it fails.
Factor Graph:
size: 14
Factor 0: keys = { 14 }
noise model: unit (2)
Factor 1: BetweenFactor(12,14)
measured: (-0.20871, -1.8819e-05, 3.2187e-05)
isotropic dim=3 sigma=0.01
Factor 2: BearingRangeFactor
Factor 2: keys = { 14 179 }
noise model: unit (2)
ExpressionFactor with measurement: bearing : 0.1352
range 4.9657
Factor 3: BearingRangeFactor
Factor 3: keys = { 14 195 }
noise model: unit (2)
ExpressionFactor with measurement: bearing : -0.27905
range 2.3177
Factor 4: BearingRangeFactor
Factor 4: keys = { 14 197 }
noise model: unit (2)
ExpressionFactor with measurement: bearing : -0.13816
range 4.9287
Factor 5: BearingRangeFactor
Factor 5: keys = { 14 161 }
noise model: unit (2)
ExpressionFactor with measurement: bearing : 0.38201
range 5.2839
Factor 6: BearingRangeFactor
Factor 6: keys = { 14 215 }
noise model: unit (2)
ExpressionFactor with measurement: bearing : -0.38549
range 5.2926
Factor 7: BearingRangeFactor
Factor 7: keys = { 14 171 }
noise model: unit (2)
ExpressionFactor with measurement: bearing : 3.0486
range 6.4876
Factor 8: BearingRangeFactor
Factor 8: keys = { 14 173 }
noise model: unit (2)
ExpressionFactor with measurement: bearing : 2.9632
range 3.5342
Factor 9: BearingRangeFactor
Factor 9: keys = { 14 191 }
noise model: unit (2)
ExpressionFactor with measurement: bearing : -2.9422
range 3.5853
Factor 10: BearingRangeFactor
Factor 10: keys = { 14 189 }
noise model: unit (2)
ExpressionFactor with measurement: bearing : -3.0251
range 6.4933
Factor 11: BearingRangeFactor
Factor 11: keys = { 14 153 }
noise model: unit (2)
ExpressionFactor with measurement: bearing : 2.8574
range 6.8032
Factor 12: BearingRangeFactor
Factor 12: keys = { 14 207 }
noise model: unit (2)
ExpressionFactor with measurement: bearing : -2.8337
range 6.8001
Factor 13: BearingRangeFactor
Factor 13: keys = { 14 135 }
noise model: unit (2)
ExpressionFactor with measurement: bearing : 2.697
range 7.4595
Initial Estimate:
Values with 2 values:
Value 14: (gtsam::Pose2)
(27.89, -29.051, -1.4319)
Value 195: (Eigen::Matrix<double, 2, 1, 0, 2, 1>)
[
27.55;
-31.4
]
terminate called after throwing an instance of 'std::runtime_error'
what(): Requested to eliminate a key that is not in the factors
I am using
develop
branch and I have encountered this issue when I want to extend this example withIncrementalFixedLagSmoother
. It ran a few iterations and then gave this error. Not sure how to solve it. Here I attached the response when it fails.