Bird's-Eye View Semantic Segmentation
6 papers with code • 1 benchmarks • 2 datasets
The extensive experiments on the V2V perception dataset, OPV2V, demonstrate that CoBEVT achieves state-of-the-art performance for cooperative BEV semantic segmentation.
The architecture consists of a convolutional image encoder for each view and cross-view transformer layers to infer a map-view semantic segmentation.
Recent works in autonomous driving have widely adopted the bird's-eye-view (BEV) semantic map as an intermediate representation of the world.