Collision Avoidance based on Blind Spot Detection and Automatic Steering Control
Nishad Nazar1, K. Govardhan2

1Nishad Nazar, Department of Electronics Engineering, Vellore Institute of Technology and University, Vellore (Tamil Nadu), India.
2K.Govardhan, Department of Electronics Engineering, Vellore Institute of Technology and University, Vellore (Tamil Nadu), India.
Manuscript received on 12 November 2016 | Revised Manuscript received on 24 November 2016 | Manuscript Published on 30 November 2016 | PP: 1-5 | Volume-6 Issue-6, November 2016 | Retrieval Number: F2388116616/16©BEIESP
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Abstract: There have been constant research and development in the area of automotive electronics focusing on safe driving and driver safety concerns. Thus, automotive industry has developed ADAS (Advanced driver assistance systems) to adapt different technologies for the better HMI to better the driver safety. Blind spots of the automobile have been a major reason for the accidents caused to the vehicle and many sensing technologies have been developed and implemented to prevent the accidents. The automotive industry has always evolved with new development in the sensing and safety technologies for the automobile. Blind spot of an automobile is a critical issue, until now, which cannot be completely eliminated. There have been usage of convex mirror for eliminating blind spots manually by driver assistance, but the current study aims at managing Blind spots automatically. This study works on the Blind Spot monitoring and automatic steering control to steer away the vehicle from the obstacle at the both rear end corners. Autonomous driving concept has seen a tremendous development from almost all the automotive industries till today hence, the concept of monitoring Blind spot and to automatically steer the vehicle to avoid the accident is a great task. The Blind spot is detected using the Ultra sonic sensing technology and set margins using mirrors and the automatic steering control is achieved using the Hall Effect sensing mechanism in the driving shaft. The project uses the Arduino MEGA as the Central Unit for the system.
Keywords: Blind Spot Detection, Ackermann Steering, Arduino MEGA etc.

Scope of the Article: Robotics and Control