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cs.CV2024
BEVal: A Cross-dataset Evaluation Study of BEV Segmentation Models for Autonomous Driving
Manuel Alejandro Diaz-Zapata, Wenqian Liu, Robin Baruffa +1
Current research in semantic bird's-eye view segmentation for autonomous driving focuses solely on optimizing neural network models using a single dataset, typically nuScenes. This…
cs.CV2024
Flow-guided Motion Prediction with Semantics and Dynamic Occupancy Grid Maps
Rabbia Asghar, Wenqian Liu, Lukas Rummelhard +2
Accurate prediction of driving scenes is essential for road safety and autonomous driving. Occupancy Grid Maps (OGMs) are commonly employed for scene prediction due to their struct…