#bev2 articles

2 articles

AIBullisharXiv – CS AI · 4h ago5

🧠

CycleBEV: Regularizing View Transformation Networks via View Cycle Consistency for Bird's-Eye-View Semantic Segmentation

Researchers propose CycleBEV, a new regularization framework that improves bird's-eye-view semantic segmentation for autonomous driving by using cycle consistency to enhance view transformation networks. The method shows significant improvements up to 4.86 mIoU without increasing inference complexity.

AIBullisharXiv – CS AI · 4h ago10

🧠

BEV-VLM: Trajectory Planning via Unified BEV Abstraction

Researchers introduced BEV-VLM, a new autonomous driving trajectory planning system that combines Vision-Language Models with Bird's-Eye View maps from camera and LiDAR data. The approach achieved 53.1% better planning accuracy and complete collision avoidance compared to vision-only methods on the nuScenes dataset.