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Grid-centric traffic scenario perception for autonomous driving: A comprehensive review
The grid-centric perception is a crucial field for mobile robot perception and navigation.
Nonetheless, the grid-centric perception is less prevalent than object-centric perception as …
Nonetheless, the grid-centric perception is less prevalent than object-centric perception as …
Cross-view transformers for real-time map-view semantic segmentation
We present cross-view transformers, an efficient attention-based model for map-view
semantic segmentation from multiple cameras. Our architecture implicitly learns a map** …
semantic segmentation from multiple cameras. Our architecture implicitly learns a map** …
Bev-guided multi-modality fusion for driving perception
Integrating multiple sensors and addressing diverse tasks in an end-to-end algorithm are
challenging yet critical topics for autonomous driving. To this end, we introduce BEVGuide, a …
challenging yet critical topics for autonomous driving. To this end, we introduce BEVGuide, a …