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08/26/2022
The Foreseeable Future: Self-Supervised Learning to Predict Dynamic Scenes for Indoor Navigation
We present a method for generating, predicting, and using Spatiotemporal...
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08/24/2021
Learning Spatiotemporal Occupancy Grid Maps for Lifelong Navigation in Dynamic Scenes
We present a novel method for generating, predicting, and using Spatiote...
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02/22/2021
Unsupervised Learning of Lidar Features for Use in a Probabilistic Trajectory Estimator
We present unsupervised parameter learning in a Gaussian variational inf...
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12/10/2020
Self-Supervised Learning of Lidar Segmentation for Autonomous Indoor Navigation
We present a self-supervised learning approach for the semantic segmenta...
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12/07/2020
Rotation-Invariant Point Convolution With Multiple Equivariant Alignments
Recent attempts at introducing rotation invariance or equivariance in 3D...
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04/18/2019
KPConv: Flexible and Deformable Convolution for Point Clouds
We present Kernel Point Convolution (KPConv), a new design of point conv...
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08/01/2018
