Vol. 3 No. 2 (2023): Journal of AI-Assisted Scientific Discovery
Articles

AI-Based Techniques for Autonomous Vehicle Collision Detection and Mitigation

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  • Dr. Ricardo Garzón
Dr. Ricardo Garzón
Professor of Industrial Engineering, Universidad de los Andes (Venezuela)
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Published 30-12-2023

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How to Cite

[1]
Dr. Ricardo Garzón, “AI-Based Techniques for Autonomous Vehicle Collision Detection and Mitigation”, Journal of AI-Assisted Scientific Discovery, vol. 3, no. 2, pp. 199–219, Dec. 2023, Accessed: Nov. 21, 2024. [Online]. Available: https://scienceacadpress.com/index.php/jaasd/article/view/97

Abstract

The possibility of using advanced infrastructures, for monitoring, protecting, and providing autonomous vehicles with useful warnings, also in the presence of potentially harmful events on a single carriageway road, has recently led to a massive increase of interest in these technologies. The advanced solutions for steering actuator management and intelligent driver assistance, together with the extreme potential of communication systems (especially V2I, but also V2V), guarantee safe obstacle avoidance when the onboard devices are no longer sufficient to decide on the correct action [1].

One of the most crucial functionalities of autonomous vehicle control systems is their ability to avoid collisions with other vehicles and pedestrians [2]. In general, collision avoidance systems have a wide range of solutions to control the vehicle in critical situations, such as the warning of onboard systems, physical intervention on the brake or on the steering wheel, as well as complete management of the vehicle during autonomous driving. The most advanced systems can manage these solutions by identifying the best one for the specific situation, also involving additional data coming from the external world on the basis of calculations performed on received information. The perception of the environment is performed by using radar, cameras, lidar, and, when available, Taillight-based speed assist and control (TSAC) cameras. The latter technology enables vehicle-to-vehicle (V2V) communications, as well as vehicle-to-infrastructure (V2I) communications.

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