Development of cognitive vehicle assistance and driver safety control management

  • Authors

    • B Ankamma rao
    • M Harika Devi
    • Krishna Veni Kommuri
    2018-03-18
    https://doi.org/10.14419/ijet.v7i2.7.11426
  • Advance RISIC Machine, Alcohol sensors, IR sensor, Ultrasonic sensors

  • Abstract

    In this paper we present new approach for automobiles safety driving system involving the multiple sensor monitoring an area around vehicle and conveying alert the driver.  There is some distance between two vehicles if apply break we can lose the control our vehicle. The proposed system works like that it has the four Ultrasonic sensors are fixed four sides of car they will detect the cars and obstacles within in the monitored area based on how much distance they are near to car and alert the driver via leds.an alcohol sensor fixed in the steering if he driver drink alcohol it will detect and switch off the vehicle ignition. The IR sensor monitors the eye blinks the driver. If the driver sleeps it makes ring the buzzer.

     

  • References

    1. [1] A wireless sensor based driving assistance for auto mobiles by Fred Yu, Bozena Kaminska, and Pawel Gburzynski School of Engineering Science, Simon Fraser University

      [2] Driver safety awareness and assistance system for cognitive vehicle control by Janani.N, Saranya.n ISBN No. 978-1-4799-3914-5/14/$31.00 ©2014 IEEE

      [3] A sensor network based intelligent control system for traffic distance by zhejun he, jiang zhang, peng xu, 978-0-7695-5079-4/13 $26.00 © 2013 IEEE DOI 10.1109/ISCID.2013.88

      [4] Hang-Bang Kang, "Various Approaches for Driver and Driving Behavior Monitoring: A Review," Catholic Univ of Korea, ICCVW 14147905©20131EEE.

      [5] Development of web-based collaboration framework for the simulation of embedded system by woong yang, soo-hong lee, young zhu jin, hyun tae hwang. Journal of computational design and engineering 3(2016)363-369

      [6] Raj at Garg, Vikrant Gupta, ieeet Agrawal "A Drowsy Driver Detection and Security System" 9781-4244-3941-6/09/$25.00 ©2009 IEEE, Department of Electronics and Communication VIT- University.

      [7] N. Sueharu et al. A Study of the Driving Support System Based on Drivers Behavior Analysis, vol. 57, no. 12, 2003, pp. 102-107, Journal of the Society of Automotive Engineers of Japan,

      [8] H. Jula, E. B. Kosmatopoulos, and P. A. Ioannou, “Collision Avoidance Analysis for Lane Changing and Merging, Vol. 49, No. 6, pp 2295-2308, Nov. 2000, IEEE Transactions on Vehicular Technology.

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  • How to Cite

    Ankamma rao, B., Harika Devi, M., & Veni Kommuri, K. (2018). Development of cognitive vehicle assistance and driver safety control management. International Journal of Engineering & Technology, 7(2.7), 930-935. https://doi.org/10.14419/ijet.v7i2.7.11426

    Received date: 2018-04-12

    Accepted date: 2018-04-12

    Published date: 2018-03-18