Wild Visual Navigation: A system for fast traversability learning via pre-trained models and online self-supervision
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Updated
Jul 18, 2025 - Python
Wild Visual Navigation: A system for fast traversability learning via pre-trained models and online self-supervision
WayFASTER: a Self-Supervised Traversability Prediction for Increased Navigation Awareness
off-road navigation simulator for benchmarking planning algorithms
This is the official implementation of the ICRA 2025 paper TANGO: Traversability-Aware Navigation with Local Metric Control for Topological Goals
WayFAST: a minimal data waypoints free autonomous navigation algorithm for field robots
Follow the Footprints: Self-supervised Traversability Estimation for Off-road Vehicle Navigation based on Geometric and Visual Cues
Panoptic segmentation for autonomous forest navigation
Given the geometry of your robot, labels as traversable the points in the point cloud through which its trajectory passes.
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