[2306.09590] The 1st-place Solution for CVPR 2023 OpenLane Topology in Autonomous Driving Challenge
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Computer Science > Computer Vision and Pattern Recognition

arXiv:2306.09590 (cs)
[Submitted on 16 Jun 2023]

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

Authors:Dongming Wu, Fan Jia, Jiahao Chang, Zhuoling Li, Jianjian Sun, Chunrui Han, Shuailin Li, Yingfei Liu, Zheng Ge, Tiancai Wang
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Abstract: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.
Comments: Accepted by CVPR2023 Workshop (this https URL)
Subjects: Computer Vision and Pattern Recognition (cs.CV)
Cite as: arXiv:2306.09590 [cs.CV]
  (or arXiv:2306.09590v1 [cs.CV] for this version)
  https://doi.org/10.48550/arXiv.2306.09590

Submission history

From: Dongming Wu [view email]
[v1] Fri, 16 Jun 2023 02:33:12 UTC (1,977 KB)
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