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Novel Collision Detection and Avoidance System for Midvehicle Using Offset-Based Curvilinear Motion

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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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Authors and Affiliations

  1. Department of Electrical and Electronics Engineering, New Horizon College of Engineering, Bengaluru, Karnataka, 560103, India

    Prabhakaran Narayanan

  2. Department of Computer Science and Engineering, PSN College of Engineering and Technology, Tirunelveli, Tamil Nadu, 627152, India

    Sudhakar Sengan

  3. Department of Electrical and Electronics Engineering, Sri Shakthi Institute of Engineering and Technology, Coimbatore, Tamil Nadu, 641062, India

    Balasubramaniam Pudhupalayam Marimuthu

  4. Department of Electrical and Electronics Engineering, PSR Engineering College, Sivakasi, Tamil Nadu, 626140, India

    Ranjith Kumar Paulra

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  1. Prabhakaran Narayanan
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Correspondence to Sudhakar Sengan.

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Narayanan, P., Sengan, S., Marimuthu, B.P. et al. Novel Collision Detection and Avoidance System for Midvehicle Using Offset-Based Curvilinear Motion. Wireless Pers Commun 119, 2323–2344 (2021). https://doi.org/10.1007/s11277-021-08333-2

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  • DOI: https://doi.org/10.1007/s11277-021-08333-2

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