Related 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

URL: http://arxiv.org/abs/2306.09590v1
Date: Fri, 16 Jun 2023 02:33:12 GMT
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
Abstract summary: 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.
Score: 9.684012701676327
License: http://creativecommons.org/licenses/by/4.0/
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.

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