Natural environments such as forests and grasslands are challenging for robotic navigation
because of the false perception of rigid obstacles from high grass, twigs, or bushes. In this …

Traversing terrain with good traction is crucial for achieving fast off-road navigation. Instead
of manually designing costs based on terrain features, existing methods learn terrain …

Reliable estimation of terrain traversability is critical for the successful deployment of
autonomous systems in wild, outdoor environments. Given the lack of large-scale annotated …

Estimating the traversability of terrain should be reliable and accurate in diverse conditions
for autonomous driving in off-road environments. However, learning-based approaches …

Research on autonomous driving in unstructured outdoor environments is less advanced
than in structured urban settings due to challenges like environmental diversities and scene …

Autonomous navigation at high speeds in off-road environments necessitates robots to
comprehensively understand their surroundings using onboard sensing only. The extreme …

Autonomous navigation in off-road conditions requires an accurate estimation of terrain
traversability. However, traversability estimation in unstructured environments is subject to …

Traversability evaluation is the foundation and core of unmanned platforms for scene
understanding and autonomous navigation, whose successful completion relies on the …

High-speed autonomous driving in off-road environments has immense potential for various
applications, but it also presents challenges due to the complexity of vehicle-terrain …

Natural environments such as forests and grasslands are challenging for robotic navigation
because of the false perception of rigid obstacles from high grass, twigs, or bushes. In this …