Cross-dataset tests show BEV segmentation models generalize poorly across datasets and sensor setups, but multi-dataset training improves performance over single-dataset baselines.
Pillarsegnet: Pillar-based semantic grid map estimation using sparse lidar data
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BEVal: A Cross-dataset Evaluation Study of BEV Segmentation Models for Autonomous Driving
Cross-dataset tests show BEV segmentation models generalize poorly across datasets and sensor setups, but multi-dataset training improves performance over single-dataset baselines.