mlsanityData to 7 Oct 2026

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

arXiv 2306.09590 ↗First posted 16 Jun 2023cs.CVcited by 10

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Abstract (arXiv)

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.

Key facts. Cited by 10 papers in the map (data through 7 Oct 2026). Builds on 9 of its 12 references that are in the map. First posted on arXiv 16 Jun 2023.

Builds on

9 of 12 references.

References · 9

  1. 2015Deep Residual Learning for Image Recognitioncited by 51,809
  2. 2020An Image is Worth 16x16 Words: Transformers for Image Recognition at Scalecited by 29,915
  3. 2020End-to-End Object Detection with Transformerscited by 7,384
  4. 2021YOLOX: Exceeding YOLO Series in 2021cited by 1,064
  5. 2022PETR: Position Embedding Transformation for Multi-View 3D Object Detectioncited by 550
  6. 2022PETRv2: A Unified Framework for 3D Perception from Multi-Camera Imagescited by 351
  7. 2019Class-balanced Grouping and Sampling for Point Cloud 3D Object Detectioncited by 350
  8. 2019An Energy and GPU-Computation Efficient Backbone Network for Real-Time Object Detectioncited by 163
  9. 2023Referring Multi-Object Trackingcited by 91

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2023: 2; 2024: 5; 2025: 2; 2026: 1.

10 papers.