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Lane Line Detection Based on Attention Mechanism and Line Anchor Information Transmission
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Junzhao JIANG1, 2, Bin PENG1, 2, Wenhao YANG1, 2, Yekai XU1, 2
Chinese Journal of Automotive Engineering | 2024, 14(5) : 812 - 820
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Chinese Journal of Automotive Engineering | 2024, 14(5): 812-820
Intelligent & Connected Technologies Section/Editor-in-Chief: GAO Zhenhai
Lane Line Detection Based on Attention Mechanism and Line Anchor Information Transmission
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Junzhao JIANG1, 2, Bin PENG1, 2, Wenhao YANG1, 2, Yekai XU1, 2
Affiliations
  • 1 Hefei University of Technology Hefei 230041 China
  • 2 Key Laboratory for Automated Vehicle Safety Technology Hefei 230041 China
doi: 10.3969/j.issn.2095–1469.2024.05.07
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Lane line detection is a key technology in the field of autonomous driving, and it currently faces many challenges. The sparsity of the lane line supervision signal, as well as factors such as occlusion and shadows in complex scenes, can affect detection accuracy and realtime performance. Based on this, this paper proposes a lane line detection model that integrates the CBAM attention mechanism and a line anchor feature aggregation module. The proposed algorithm achieves an accuracy of 96.19% and a comprehensive F1 score of 76.24% on the Tusimple and CULane datasets, respectively. Real vehicle tests show that the algorithm detects a frame rate of 67 fps, allowing for realtime detection in complex traffic scenarios and more effectively addressing the problem of lane line occlusion.

lane line detection  /  line anchors  /  attention mechanisms  /  information delivery
Junzhao JIANG, Bin PENG, Wenhao YANG, Yekai XU. Lane Line Detection Based on Attention Mechanism and Line Anchor Information Transmission[J]. Chinese Journal of Automotive Engineering, 2024 , 14 (5) : 812 -820 . DOI: 10.3969/j.issn.2095–1469.2024.05.07
Year 2024 volume 14 Issue 5
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Article Info
doi: 10.3969/j.issn.2095–1469.2024.05.07
  • Receive Date:2023-07-31
  • Online Date:2025-07-20
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  • Received:2023-07-31
  • Revised:2023-09-15
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    1 Hefei University of Technology Hefei 230041 China
    2 Key Laboratory for Automated Vehicle Safety Technology Hefei 230041 China
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Number of
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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