Driver Assistance System using in-vehicle Traffic Lights and Signs

  • Authors

    • Vaibhav Jain
    • Tanay .
    • Saransh Gangele
    • K Kalimuthu
    2018-04-25
    https://doi.org/10.14419/ijet.v7i2.24.12151
  • Driver Mechanism, Heads-up display, Image Recognition, Wireless Communication, Vehicular Communication

  • Abstract

    In recent years, with the advancement of vehicular communication, it is possible to detect various road signs and provide traffic light information to the driver inside the vehicle with the application of heads-up display (HUD). It detects road signs, does basic classifications and accordingly directs the driver to slow down or stop the vehicle. The vehicle’s heads-up display keeps the driver focused by providing road warnings, speed limit, traffic signals and some vital navigation information in the driver’s line of sight(LOS). This system has 4 phases, Image recognition, wireless communication, obstacle detection and driver mechanism. This system aims to create a prototype of a smart driver assistance system which provides better road traffic and driver’s safety in countries with high traffic congestion where fully automated vehicles cannot function effectively. This system can be easily implemented in real time scenarios to reduce accidents and enhance the convenience of driving.

     

  • References

    1. [1] Stweart A Birrell, Mark Fowkes and Paul A Jennings. “Effect of using an in-vehicle smart driving aid on real-world driver performanceâ€, IEEE Transactions on Intelligent Transportation System, 15(4):1801-1810,2014

      [2] Siddhant Chouksey and Sumedha Sirsikar. “A prototype of low cost heads up display for automobiles navigation systemâ€. In Computing, Analytics and Security Trends (CAST), International Conference on, pages 205–210. IEEE, 2016

      [3] Moises Diaz-Cabrera, Pietro Cerri, and Javier Sanchez-Medina, “ Sus-pended traffic lights detection and distance estimation using color featuresâ€. In In Intelligent Transportation Systems (ITSC), 2012 15th International IEEE Conference on, pages 1315–1320. IEEE, 2012.

      [4] Nathaniel Fairfield and Chris Urmson. “Traffic light mapping and detectionâ€. In Robotics and Automation (ICRA), 2011 IEEE International Conference on, pages 5421–5426. IEEE, 2011.

      [5] Ching-Hao Lai and Chia-Chen Yu, “An efficient real-time traffic sign recognition system for intelligent vehicles with smart phonesâ€. In Technologies and Applications of Artificial Intelligence (TAAI), 2010 International Conference on, pages 195–202. IEEE, 2010.

      [6] Panth Shah and Tithi Vyas, “Interfacing of matlab with arduino for object detection algorithm implementation using serial communicationâ€. International Journal of Engineering Research & Technology(IJERT) IJERT ISSN, pages 2278–0181, 2014.

      [7] Geva Vashitz, David Shinar, and Yuval Blum, “In-vehicle information systems to improve traffic safety in road tunnelsâ€. Transportation Research Part F: Traffic Psychology and Behaviour, 11(1):61–74, 2008.

      [8] Bo Yang, Rencheng Zheng, Yuandong Yin, Shigeyuki Yamabe, and Kimihiko Nakano, “Analysis of influence on driver behaviour while using in-vehicle traffic lights with application of head-up display†IET Intelligent Transport Systems, 10(5):347–353, 2016.

  • Downloads

  • How to Cite

    Jain, V., ., T., Gangele, S., & Kalimuthu, K. (2018). Driver Assistance System using in-vehicle Traffic Lights and Signs. International Journal of Engineering & Technology, 7(2.24), 527-530. https://doi.org/10.14419/ijet.v7i2.24.12151

    Received date: 2018-04-25

    Accepted date: 2018-04-25

    Published date: 2018-04-25