Total views : 200

Optimal Lane Finder using Sensor Fusion Techniques to Prevent Road Accidents


  • School of Computing, SASTRA University, Thanjavur - 613401, Tamil Nadu, India


Objectives: Most of the accidents could be avoided or prevented through simple measures like speed limit, precautions for the driver’s safety and discipline among road users. Most of the accidents occur on highways, especially when changing lanes. This paper focuses on reducing such accidents by using Lane Keeping Assist System (LKAS). Methods: This LKAS is based on the concept of neural network model, which has a high complexity and high cost design for functional implementation. Findings: Though this system has more advantages, it cannot be implemented in all range of cars. In order to overcome this, a cost affordable, safety alert system suitable for all range of cars is proposed using low cost and low power consumption open source device, in which vehicles are incorporated with sensors which helps in notifying when the vehicle is overtake and makes it easier for people to control the movements of vehicle. Application/Improvement: It helps to indicate the unconditional changes of vehicle between the lanes and also reduce the accidents. Apart from this, fading and blinking of front head lights automated whenever approaching in opposite direction.


Kalman Filtering, Sensor Fusion.

Full Text:

 |  (PDF views: 174)


  • Kedareswar PS, Krishnamoorthy V. An intelligent embedded diagnostic system on CAN protocol to avoid rear-end collision of vehicles. Indian Journal of Science and Technology. 2015 Aug; 8(19):1–8.
  • Jaiganesh S, Jarina S, Amudhavel J, Premkumar K, Sampathkumar S, Vengattaraman T. Performance analysis of collision avoidance frame works in vanets. Indian Journal of Science and Technology. 2016 Mar; 9(11):1–7.
  • Peng J, Guo Y, Fu R, Yuan W, Wang C. Multi-parameter prediction of drivers’ lane-changing behavior with neural network model. Applied Ergonomics. 2015 Sep; 50:207–17.
  • Kiefer ARJ, Hankey BJM. Lane change behavior with a side blind zone alert system. Accident Analysis and Prevention.2008 Mar; 40(2):683–90.
  • Accident detection and reporting system using GPS, GPRS and GSM technology. Available from: ber=6317382
  • Schmidt K, Karl MB, Hoffmann H, Krems JF. A mathematical model for predicting lane changes using the steering wheel angle. Journal of Safety Research. 2014 Jun; 49:85–90.
  • Multi-sensor fusion method using Kalman filter to improve localization accuracy based on android smart phone. Available from: 7063707/
  • Doshi A, Morris BT, Trivedi MM. On-road prediction of driver’s intent with multimodal sensory cues. IEEE Pervasive Computing. 2011; 1–13.
  • Young KL, Lenné MG, Williamson AR. Sensitivity of the lane change test as a measure of in-vehicle system demand.Applied Ergonomics. 2011 May; 42(4):611–8.
  • Toward next generation of driver assistance systems: a multimodal sensor-based platform. Available from: C:/Users/laptop/Downloads/Toward%20Next%20GenerationICCAE%202010.pdf


  • There are currently no refbacks.

Creative Commons License
This work is licensed under a Creative Commons Attribution 3.0 License.