Road Feature Detection

Road Feature Detection is a computational method in the field of computer vision that specifically identifies and localizes structural elements of roadways, such as lane markings, road boundaries, and traffic signs, from sensor data to support advanced driver assistance systems and autonomous navigation.

565

Publications

28.2K

Citations

1.6K

Authors

485

Institutions

Publications per year

2017–2026

191

Authors

1.6K

  1. MJ
    Mohammad Javad Valadan Zoej

    K.N.Toosi University of Technology, Iran

    8 publications · 431 citations

    8

    h-index

  2. HK
    Hui Kong

    Nanjing University of Science and Technology, China

    6 publications · 822 citations

    7

    h-index

  3. KC
    Karl C. Kluge

    University of Michigan, United States

    6 publications · 279 citations

    6

    h-index

  4. JL
    Jonathan Li

    University of Waterloo, Canada

    6 publications · 494 citations

    6

    h-index

  5. XL
    Xiangguo Lin

    Chinese Academy of Surveying and Mapping, China

    5 publications · 92 citations

    5

    h-index

1–5 of 1.6K

Venues

  1. 18

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  2. Remote Sensing

    16 publications · 580 citations

    14

    h-index

  3. 13

    h-index

  4. 12

    h-index

  5. 11

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1–5