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20182025
most citedVariational Inference with Parameter Learning Applied to Vehicle Trajectory Estimation

24 citations · 36 across the 13 of their papers we have counts for

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Showing 2021Show all

2 papers · 1 filter

cs.RO2021★ 2 cited

Radar Odometry Combining Probabilistic Estimation and Unsupervised Feature Learning

Keenan Burnett, David J. Yoon, Angela P. Schoellig +1

This paper presents a radar odometry method that combines probabilistic trajectory estimation and deep learned features without needing groundtruth pose information. The feature ne…

cs.RO2021★ 2 cited

Unsupervised Learning of Lidar Features for Use in a Probabilistic Trajectory Estimator

David J. Yoon, Haowei Zhang, Mona Gridseth +2

We present unsupervised parameter learning in a Gaussian variational inference setting that combines classic trajectory estimation for mobile robots with deep learning for rich sen…