A self-supervised fusion model uses RGB and thermal images to predict traversability costmaps, with a new day-night off-road dataset and a LiDAR-bridged calibration method.
Ga-nav: Efficient terrain segmentation for robot navigation in unstructured out- door environments
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IRisPath: Enhancing Costmap for Off-Road Navigation with Robust IR-RGB Fusion for Improved Day and Night Traversability
A self-supervised fusion model uses RGB and thermal images to predict traversability costmaps, with a new day-night off-road dataset and a LiDAR-bridged calibration method.