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IMU Integration #17
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Can you provide your sensor .yaml files perhaps? |
Uploaded as .txt files but the content is the same as my yaml files with the same file names provided in the repo sensor_imu.txt |
@omarosamahu we have changed extensively the API for Kimera-VIO so the above does not necessarily apply anymore. |
I have a problem while integrating my sensor yaml files with Kimera-VIO as shown in the below text
No vio parameters specified, using default.
Applying IMU timestamp shift of: 3.59449e+246ns.
&&&&&&&&&&&&&&&&&&&& TRACKER PARAMETERS &&&&&&&&&&&&&&&&&&&&&&&&&&&
** Feature tracking parameters **
klt_win_size_: 24
klt_max_iter_: 30
klt_max_level_: 4
klt_eps_: 0.1
maxFeatureAge_: 15
** Feature detection parameters **
maxFeaturesPerFrame_: 800
quality_level_: 0.001
min_distance_: 20
block_size_: 3
use_harris_detector_: 0
k_: 0.04
** Sparse Stereo Matching parameters **
equalize_image_: 0
nominalBaseline_: 0.11
vision_sensor_type_: 0
toleranceTemplateMatching_: 0.15
templ_cols_: 101
templ_rows_: 11
stripe_extra_rows_: 0
minPointDist_: 0.5
maxPointDist_: 10
bidirectionalMatching_: 0
subpixelRefinementStereo_: 0
** Feature selection parameters **
featureSelectionCriterion_: 0
featureSelectionHorizon_: 3
featureSelectionNrCornersToSelect_: 600
featureSelectionImuRate_: 0.005
featureSelectionDefaultDepth_: 2
featureSelectionCosineNeighborhood_: 0.984808
featureSelectionUseLazyEvaluation_: 1
useSuccessProbabilities_: 1
** RANSAC parameters **
useRANSAC_: 1
minNrMonoInliers_: 10
minNrStereoInliers_: 5
ransac_threshold_mono_: 1e-06
ransac_threshold_stereo_: 1
ransac_use_1point_stereo_: 1
ransac_use_2point_mono_: 1
ransac_max_iterations_: 100
ransac_probability_: 0.995
ransac_randomize_: 0
** STEREO tracker parameters **
intra_keyframe_time_: 0.2
minNumberFeatures_: 0
useStereoTracking_: 1
** OTHER parameters **
disparityThreshold_: 0.5
&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&
LoopClosureDetector:: Loading vocabulary from ../vocabulary/ORBvoc.yml
Loaded vocabulary with 971815 visual words.
Spinning Visualizer.
Shutting down VIO pipeline once processing has finished.
Frontend launched (parallel_run set to 1).
------------------- Initialize Pipeline with frame k = 50--------------------
Spinning StereoFrontEnd.
getRectifiedImages: abnormal baseline: 0, nominalBaseline: 0.11(+/-10%)
Using Regular VIO with modality 0
[0, 0, 0]';isam_param
type: ISAM2GaussNewtonParams
wildfireThreshold: -1
relinearizeThreshold: 0.01
relinearizeSkip: 1
enableRelinearization: 1
evaluateNonlinearError: 0
factorization: CHOLESKY
cacheLinearizedFactors: 1
enableDetailedResults: 0
enablePartialRelinearizationCheck: 0
findUnusedFactorSlots: 1
Initial state seed:
|0.005, 5.4873e+247, 2.51834e-316|
|0.133927, 6.52016e+252, 2.56383e-316|
|1.61701, 1.60426e-316, 1.00444e-320|
[-nan, 0, 0]';
Indeterminant linear system detected while working near variable
8646911284551352320 (Symbol: x0).
Thrown when a linear system is ill-posed. The most common cause for this
error is having underconstrained variables. Mathematically, the system is
underdetermined. See the GTSAM Doxygen documentation at
http://borg.cc.gatech.edu/ on gtsam::IndeterminantLinearSystemException for
more information.
ERROR: Variable has type 'x' and index 0
Smoother's factors:
[
size: 3
Factor 0: PriorFactor on x0
prior mean: R:
[
0.005 5.48729961e+247 2.51834192e-316;
0.13392721 6.52016458e+252 2.56383233e-316;
1.6170107 1.6042604e-316 1.00443546e-320
]
[-nan, 0, 0]'; noise model: Gaussian[
-nan -nan -nan -nan -nan -nan;
0 -nan -nan -nan -nan -nan;
0 0 -nan -nan -nan -nan;
0 0 0 -nan -nan -nan;
0 0 0 0 -nan -nan;
0 0 0 0 0 -nan
]
Factor 1: PriorFactor on v0
prior mean: [
4.94065646e-324;
0;
0
]
isotropic dim=3 sigma=0.001
Factor 2: PriorFactor on b0
prior mean: acc = [0, 0, 0]' gyro = [0, 0, 0]'
noise model: diagonal sigmas[0.1; 0.1; 0.1; 0.01; 0.01; 0.01];
]
State values
[
Values with 0 values:
]
=============== START:CATCHING EXCEPTION ===============
Nr of factors in graph (smoother getFactors): 3, with factors:
[
]
Nr of new factors to add: 0 with factors:
[
(slot # wrt to new_factors_tmp graph)
]
Nr deleted slots: 0, with slots:
[
]
Nr of values in state_ : 0, with keys:
[
]
Nr values in new_values_ : 0, with keys:
[
]
=============== END: CATCHING EXCEPTION ===============
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