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Novel Collision Detection and Avoidance System for Midvehicle Using Offset-Based Curvilinear Motion |
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| Authors: | Narayanan Prabhakaran Sengan Sudhakar Marimuthu Balasubramaniam Pudhupalayam Paulra Ranjith Kumar |
| Affiliation: | 1.Department of Electrical and Electronics Engineering, New Horizon College of Engineering, Bengaluru, Karnataka, 560103, India ;2.Department of Computer Science and Engineering, PSN College of Engineering and Technology, Tirunelveli, Tamil Nadu, 627152, India ;3.Department of Electrical and Electronics Engineering, Sri Shakthi Institute of Engineering and Technology, Coimbatore, Tamil Nadu, 641062, India ;4.Department of Electrical and Electronics Engineering, PSR Engineering College, Sivakasi, Tamil Nadu, 626140, India ; |
| Abstract: | In recent days, the manufacture of automotive vehicles is dramatically enhanced worldwide. Most vehicle crashes are due to the drive distraction on the real highway roads and traffic-density. In this proposed method, a novel collision detection and avoidance algorithm are coined for Midvehicle Collision Detection and Avoidance System (MCDAS), addressing two scenarios, namely, (a) A rear-end collision avoidance with host vehicle under no front-end vehicle condition and (b) offset-based curvilinear motion under critical conditions, while, suitable parallel parking manoeuvring also addressed using offset-based curvilinear motion. The Monte Carlo analysis of the proposed MCDAS is demonstrated using the Constant Velocity (CV) manoeuvring strategy and simulated with real-time data using the NGSIM database. |
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