PRISM: Multimodal Terrain Mapping for Rover Navigation in Unstructured Environments
Researchers introduce PRISM, a multimodal perception system that fuses RGB, depth, and thermal imagery to improve terrain mapping in unstructured environments. The system employs a vision transformer-based network, OmniUnet, for semantic segmentation and is validated on two new datasets as well as through field experiments. PRISM operates on a resource-constrained embedded computer and produces traversability maps to support autonomous rover navigation.
Why it matters: Integrating thermal sensing with standard vision in terrain mapping enhances hazard detection and safety for autonomous rovers in challenging environments.
Full story at: arXiv Robotics ↗