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Traffic light detection and recognition in autonomous vehicles

Research Output: Chapter in Book/Report/Conference proceeding Conference contribution Peer-review

Abstract

Abstract - Autonomous Vehicles (AVs) face the challenge of recognising active traffic lights under harsh environmental conditions. Standard cameras and computer vision algorithms also face the same challenge. In this paper, we built a small-scale system to mitigate this challenge. First, we developed a light controller and a dataset builder script. The light controller and dataset builder script were then used to build a dataset of traffic lights with different lights activated. Bounding boxes were annotated on the traffic light dataset using dlib's imglab software. The dataset uses the HOG with Linear SVM object detector. An RGB histogram approach is adopted to train a logistic regression model on the feature vector data to recognise which light is "on" among the training images. Finally, a robot control script is developed and tested. The script uses both the object detector and colour recogniser for its detection and recognition. Our results show 89% accuracy in identifying a red-yellow-green traffic light under extreme environmental conditions

Publication Information

Output type

Research Output: Chapter in Book/Report/Conference proceeding Conference contribution Peer-review

Original language

English

Publication milestones

  • Published - 13/12/2022

Publication status

Published - 13/12/2022

Publisher

Institute of Electrical and Electronics Engineers Inc., United States

Publication series

  • Publication series name: Proceedings of the 2022 IEEE International Conference on Dependable, Autonomic and Secure Computing, International Conference on Pervasive Intelligence and Computing, International Conference on Cloud and Big Data Computing, International Conference on Cyber Science and Technology Congress, DASC/PiCom/CBDCom/CyberSciTech 2022

ISBN (Electronic)

9781665462976

External Publication IDs

  • handle.net: 10547/626442
  • Scopus: 85145353799

Host publication title

Proceedings of the 2022 IEEE International Conference on Dependable, Autonomic and Secure Computing, International Conference on Pervasive Intelligence and Computing, International Conference on Cloud and Big Data Computing, International Conference on Cyber Science and Technology Congress, DASC/PiCom/CBDCom/CyberSciTech 2022

Host publication editors

  • Giancarlo Fortino
  • Raffaele Gravina
  • Antonio Guerrieri
  • Claudio Savaglio

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