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Amap Tech
Amap Tech
Dec 4, 2023 · Artificial Intelligence

End-to-End BEV+Transformer Perception and Modeling for High-Definition Map Production

By fusing LiDAR point clouds and camera images into a unified bird‑eye‑view space and applying Transformer‑based perception, multi‑sensor fusion, and graph‑diffusion modeling, the proposed BEV+Transformer framework automatically detects and smooths ground‑level line features and signs for high‑definition maps with centimeter‑level accuracy, boosting production efficiency and reducing cost.

BEVHD mapautonomous driving
0 likes · 20 min read
End-to-End BEV+Transformer Perception and Modeling for High-Definition Map Production
Amap Tech
Amap Tech
Nov 15, 2023 · Artificial Intelligence

Vision‑Based Bird’s‑Eye‑View (BEV) Representation and Solutions for Autonomous Driving

Vision‑based Bird’s‑Eye‑View (BEV) transforms camera data into a scale‑invariant, geometry‑friendly top‑down map using perspective‑transformation modules such as Lift‑Splat‑Shoot and Pseudo‑LiDAR, incorporates deformable convolutions and attention, and underpins modern autonomous‑driving detectors like BEVDet, BEVDepth, Detr3D, BEVFormer and PETR, while future research targets depth‑estimation bottlenecks, multimodal transformer fusion, and foundation‑model generalization.

3D PerceptionBEVautonomous driving
0 likes · 19 min read
Vision‑Based Bird’s‑Eye‑View (BEV) Representation and Solutions for Autonomous Driving