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Found 3 papers, 1 papers with code
BEVal: A Cross-dataset Evaluation Study of BEV Segmentation Models for Autonomous Driving
In this paper, we conduct a comprehensive cross-dataset evaluation of state-of-the-art BEV segmentation models to assess their performance across different training and testing datasets and setups, as well as different semantic categories.
LAPTNet-FPN: Multi-scale LiDAR-aided Projective Transform Network for Real Time Semantic Grid Prediction
Semantic grids can be useful representations of the scene around an autonomous system.
LAPTNet: LiDAR-Aided Perspective Transform Network
Semantic grids are a useful representation of the environment around a robot.
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