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Home > Archive>Volume 51, Issue 8, 2023 >1168-1173. DOI:10.11908/j.issn.0253-374x.23196
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Road Marking Visibility Evaluation Based on Object Detection and Iterative Threshold Segmentation
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1.School of Transportation， Southeast University， Nanjing 210089， China;2.School of Science， Nanjing University of Science & Technology， Nanjing 210094， China

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U495

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    Abstract:

    A road marking segmentation algorithm based on object detection and iterative threshold segmentation was proposed. The BiFormer-improved YOLOv5 was adopted to locate road markings and obtain image patches. Then， the iterative threshold segmentation was used to capture the accurate region of road markings. Finally， the extracted road markings were evaluated for visibility based on Weber contrast. The results show that the proposed method can extract road markings rapidly and accurately， and effectively evaluate the road marking visibility.

    Reference
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DONG Qiao, LIN Yelong, WANG Sike, CHU Zepeng, CHEN Xueqin, YAN Shiao. Road Marking Visibility Evaluation Based on Object Detection and Iterative Threshold Segmentation[J].同济大学学报(自然科学版),2023,51(8):1168~1173

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  • Received:June 16,2023
  • Online: August 28,2023
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