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Lane Marking Detection Algorithm Based on High-Precision Map

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Data Science (ICDS 2019)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1179))

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Abstract

In case of sharp road illumination changes, bad weather such as rain, snow or fog, wear or missing of the lane marking, the reflective water stain on the road surface, the shadow obstruction of the tree, and mixed lane markings and other signs, missing detection or wrong detection will occur for the traditional lane marking detection algorithm. In this manuscript, a lane marking detection algorithm based on high-precision map is proposed. The basic principle of the algorithm is to use the centimeter-level high-precision positioning combined with high-precision map data to complete the detection of lane markings. The experimental results show that the algorithm has lower false detection rate in case of bad road conditions, and the algorithm is robust.

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Acknowledgements

We would like to thank all reviewers for their valuable comments and suggestions to improve the quality of our manuscript.

Funding

This work was supported by the National Key Re&D Program of China (2017YFB1401302, 2017YFB0202200), the National Natural Science Foundation of P. R. China (No. 61572260, 61872196), Outstanding Youth of Jiangsu Natural Science Foundation (BK20170100) and Key R&D Program of Jiangsu (BE2017166).

Author information

Authors and Affiliations

  1. School of Computer and Software, Nanjing Institute of Industry Technology, Nanjing, 210023, China

    Haichang Yao

  2. School of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing, 210023, China

    Haichang Yao, Chen Chen, Shangdong Liu, Kui Li, Yimu Ji & Ruchuan Wang

  3. Institute of High Performance Computing and Big Data, Nanjing University of Posts and Telecommunications, Nanjing, 210003, China

    Yimu Ji

  4. Nanjing Center of HPC China, Nanjing, 210003, China

    Yimu Ji

  5. Jiangsu HPC and Intelligent Processing Engineer Research Center, Nanjing, 210003, China

    Yimu Ji

Authors
  1. Haichang Yao
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  2. Chen Chen
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  3. Shangdong Liu
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  4. Kui Li
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  5. Yimu Ji
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  6. Ruchuan Wang
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Corresponding author

Correspondence to Yimu Ji .

Editor information

Editors and Affiliations

  1. Swinburne University of Technology, Melbourne, VIC, Australia

    Jing He

  2. University of Illinois at Chicago, Chicago, USA

    Philip S. Yu

  3. College of Information Science and Technology, University of Nebraska at Omaha, Omaha, NE, USA

    Yong Shi

  4. Research Institute of Extenics and Innovation Methods, Guangdong University of Technology, Guangzhou, China

    Xingsen Li

  5. Ningbo University, Ningbo, China

    Zhijun Xie

  6. Deakin University, Burwood, VIC, Australia

    Guangyan Huang

  7. Department of Computer Science and Technology, Nanjing University of Science and Technology, Nanjing, China

    Jie Cao

  8. Nanjing University of Posts and Telecommunications, Nanjing, China

    Fu Xiao

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Yao, H., Chen, C., Liu, S., Li, K., Ji, Y., Wang, R. (2020). Lane Marking Detection Algorithm Based on High-Precision Map. In: He, J., et al. Data Science. ICDS 2019. Communications in Computer and Information Science, vol 1179. Springer, Singapore. https://doi.org/10.1007/978-981-15-2810-1_6

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  • DOI: https://doi.org/10.1007/978-981-15-2810-1_6

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-2809-5

  • Online ISBN: 978-981-15-2810-1

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