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UFO: Uncertainty-aware LiDAR-image Fusion for Off-road Semantic Terrain Map Estimation
Autonomous off-road navigation requires an accurate semantic understanding of the environment, often converted into a bird's-eye view (BEV) representation for various downstream tasks.
METAVerse: Meta-Learning Traversability Cost Map for Off-Road Navigation
To conduct a comprehensive evaluation, we collect driving data from various terrains and demonstrate that our method can obtain a global model that minimizes uncertainty.
SLiDE: Self-supervised LiDAR De-snowing through Reconstruction Difficulty
LiDAR is widely used to capture accurate 3D outdoor scene structures.
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