Multi-Task Learning for Scalable and Dense Multi-Layer Bayesian Map Inference
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Updated
Aug 16, 2022 - C++
Multi-Task Learning for Scalable and Dense Multi-Layer Bayesian Map Inference
Semantic Segmentation of Images and Point Clouds for Traversability Estimation
[IROS 2024] [ICML 2024 Workshop Differentiable Almost Everything] Robot-terrain interaction prediction from only RGB images as input.
[RA-L, 2024] The dataset for the paper: Learning self-supervised traversability with navigation experiences of mobile robots: A risk-aware self-training approach
The traversability mapping ROS package for safe robotic navigation in outdoor environments
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