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A comprehensive approach for road marking detection and recognition

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Abstract

This paper presents a comprehensive approach for road marking detection and recognition which collect the image information from a camera mounted in the front of the vehicle. This approach uses PCA-HOG feature and support vector machine (SVM) to detect and recognize the road markings. First, the vanishing point in the image is identified, and is used to generate a bird’s-eye view of the road. Second, the method of local median binarization is used to segment the image and it can avoid the interference of light and shadow. Finally, the feature vector is generated by using a combination of HOG and PCA, and the SVM is used to determine the feature vector as a specific road marking. The test results show that this algorithm higher accuracy and recall rate. Moreover, the algorithm has low computational complexity and can guarantee high recognition speed. Therefore, compared with existing algorithms, it has great advantages. This research will play an important role and a wide range of applications in advanced driver assistant system (ADAS) or driverless driving.

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Authors and Affiliations

  1. School of Computer Science, Wuhan University, Wuhan, 430072, China

    Ling Ding & Huyin Zhang

  2. College of Computer Science and Technology, Hubei University of Science and Technology, Xianning, 437100, China

    Ling Ding & Shejie Lu

  3. School of Electronic Information, Wuhan University, Wuhan, 430072, China

    Jinsheng Xiao

  4. State Key laboratory of Information Engineering in Surveying, Mapping and Remote Sencing, Wuhan University, Wuhan, 430079, China

    Bijun Li

  5. EEE Department, School of Engineering, Computer and Mathematical Sciences, Auckland University of Technology, Auckland, 1142, New Zealand

    Reinhard Klette & Mohammad Norouzifard

  6. School of Computer and Information Science, Hubei Engineering University, Xiaogan, 432000, China

    Fang Xu

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  1. Ling Ding
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  2. Huyin Zhang
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  3. Jinsheng Xiao
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  4. Bijun Li
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  5. Shejie Lu
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  6. Reinhard Klette
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  7. Mohammad Norouzifard
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  8. Fang Xu
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Correspondence to Huyin Zhang.

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Ding, L., Zhang, H., Xiao, J. et al. A comprehensive approach for road marking detection and recognition. Multimed Tools Appl 79, 17193–17210 (2020). https://doi.org/10.1007/s11042-019-08384-5

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  • DOI: https://doi.org/10.1007/s11042-019-08384-5

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