Real-Time AI-Based Solutions for Vehicle Collision Avoidance

Authors

  • Dr. Gabriela Gómez-Marín Professor of Industrial Engineering, National University of Colombia Author

Keywords:

AI-Based Solutions, Vehicle Collision Avoidance

Abstract

Today, the most talked about issue in vehicle safety is collision avoidance. Every day, the number of vehicles on the road increases, and with it comes an increase in the potential for collision accidents. This increase presents a compelling reason to develop innovative technologies to keep both drivers and passengers safe. Artificial Intelligence has undergone rapid advancement over the last decade and can efficiently solve complex problems, including designing a modern automotive system. Through considerable research, AI can be effectively integrated into conventional automotive hardware and used to deliver practical automotive solutions in real-time. In the past few years, significant improvements in the field of collision prevention have been made, but few present a complete comparison between their proposed system and others.

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References

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Published

04-11-2024

How to Cite

[1]
D. G. Gómez-Marín, “Real-Time AI-Based Solutions for Vehicle Collision Avoidance”, J. of Artificial Int. Research and App., vol. 4, no. 2, pp. 109–124, Nov. 2024, Accessed: Dec. 23, 2024. [Online]. Available: https://aimlstudies.co.uk/index.php/jaira/article/view/284

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