Search Results for author: Samuel Triest

Found 2 papers, 0 papers with code

Deep Bayesian Future Fusion for Self-Supervised, High-Resolution, Off-Road Mapping

no code implementations18 Mar 2024 Shubhra Aich, Wenshan Wang, Parv Maheshwari, Matthew Sivaprakasam, Samuel Triest, Cherie Ho, Jason M. Gregory, John G. Rogers III, Sebastian Scherer

The limited sensing resolution of resource-constrained off-road vehicles poses significant challenges towards reliable off-road autonomy.

How Does It Feel? Self-Supervised Costmap Learning for Off-Road Vehicle Traversability

no code implementations22 Sep 2022 Mateo Guaman Castro, Samuel Triest, Wenshan Wang, Jason M. Gregory, Felix Sanchez, John G. Rogers III, Sebastian Scherer

Our short-scale navigation results show that using our learned costmaps leads to overall smoother navigation, and provides the robot with a more fine-grained understanding of the robot-terrain interactions.

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