MapVision: CVPR 2024 Autonomous Grand Challenge Mapless Driving Tech Report

Understand

Autonomous driving without high-definition (HD) maps demands a higher level of active scene understanding.

• In this competition, the organizers provided the multi-perspective camera images and standard-definition (SD) maps to explore the boundaries of scene reasoning capabilities.
• We found that most existing algorithms construct Bird's Eye View (BEV) features from these multi-perspective images and use multi-task heads to delineate road centerlines, boundary lines, pedestrian crossings, and other areas.
• However, these algorithms perform poorly at the far end of roads and struggle when the primary subject in the image is occluded.