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A Survey of Machine Learning Techniques Applied for Automatic Traffic Light Recognition

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Second International Conference on Image Processing and Capsule Networks (ICIPCN 2021)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 300))

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Abstract

Visual impairment/color-blindness (VICB) can be challenging in many situations especially while crossing a pedestrian/cross-walk or driving a vehicle. A Traffic Light Recognition System (TLRs) may help in the accurate detection of traffic lights using a hand-held mobile device. TLR helps in reduction of accidental mortality rates. It will also help improving transportation and mobility for old aged and differently-abled people. TLR system detects the presence of traffic light in the environment and incorporates guiding assistance by notifying its color and shape to a VICB person. There may be enormous challenges in correct detection of Traffic Lights, involving non-working lights, illuminations, ego-vehicles, weather, trees, and other obstructions. A detailed discussion of the TLR System is provided for data acquisition, pre-processing, localization,feature extraction and verification stages. Finally, the conclusions are drawn and possible future scope of the field is discussed.

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Author information

Authors and Affiliations

  1. Department of Computer Science and Applications, Panjab University, Chandigarh, India

    Sarita & Anuj Kumar

Authors
  1. Sarita
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  2. Anuj Kumar
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Editor information

Editors and Affiliations

  1. Department of Electrical Engineering, Da-Yeh University, Changhua, Taiwan

    Joy Iong-Zong Chen

  2. Departamento de Engenharia Mecanica, Universidade do Porto, Porto, Portugal

    João Manuel R. S. Tavares

  3. College of Engineering, Prince Sattan Bin Abdulaziz University, Al-Kharj, Saudi Arabia

    Abdullah M. Iliyasu

  4. Department of Electrical and Computer Engineering, Concordia University, Montreal, QC, Canada

    Ke-Lin Du

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Sarita, Kumar, A. (2022). A Survey of Machine Learning Techniques Applied for Automatic Traffic Light Recognition. In: Chen, J.IZ., Tavares, J.M.R.S., Iliyasu, A.M., Du, KL. (eds) Second International Conference on Image Processing and Capsule Networks. ICIPCN 2021. Lecture Notes in Networks and Systems, vol 300. Springer, Cham. https://doi.org/10.1007/978-3-030-84760-9_1

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