Papers › The 1st-place Solution for CVPR 2023 OpenLane Topology in Autonomous Driving Challenge

The 1st-place Solution for CVPR 2023 OpenLane Topology in Autonomous Driving Challenge

16 Jun 2023arXiv:2306.09590archive 2025-07-28

Dongming Wu, Fan Jia, Jiahao Chang, Zhuoling Li, Jianjian Sun, Chunrui Han, Shuailin Li, Yingfei Liu, Zheng Ge, Tiancai Wang

We present the 1st-place solution of OpenLane Topology in Autonomous Driving Challenge. Considering that topology reasoning is based on centerline detection and traffic element detection, we develop a multi-stage framework for high performance. Specifically, the centerline is detected by the powerful PETRv2 detector and the popular YOLOv8 is employed to detect the traffic elements. Further, we design a simple yet effective MLP-based head for topology prediction. Our method achieves 55\% OLS on the OpenLaneV2 test set, surpassing the 2nd solution by 8 points.

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wudongming97/topomlp mentioned on GitHubpytorch report

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Autonomous Driving

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YOLOv8

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