AI-Based Solutions for Enhancing Vehicle Security

Authors

  • Dr. Olga Petrova Professor of Applied Mathematics, National Research University Higher School of Economics (HSE), Russia Author

Abstract

Rapid advances in wireless communication, embedded systems, telecommunications, Internet of Things (IoT), and sensor technologies have resulted in a significant impact on our lives. These technologies have made our lives more convenient. New developments are occurring in the transportation world, particularly in the automotive sector. Advanced driver assistance systems have driven automobiles to evolve, as well as the next generation of autonomous cars. Unfortunately, with each advanced vehicle technology, criminal activity grows more frequent. Vehicle crime remains a significant issue confronting vehicle users, owners, insurers, and manufacturers. Vehicle crime includes offenses related to the theft of or from vehicles or vehicle components, such as daylight and nighttime burglary, car-hire offenses, car conversion, car theft, and car robbery, as well as vehicle component theft. There were car robberies and thefts of other cars or motorcycles in 2017/2018 in England and Wales alone. Indeed, during that same period, around cars and other automobiles were stolen worldwide. These observations have piqued the attention of vehicle users as well as the automotive industry, which is exploring new ways to boost vehicle security without raising costs and weight.

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Published

23-10-2024

How to Cite

[1]
D. O. Petrova, “AI-Based Solutions for Enhancing Vehicle Security”, Australian Journal of Machine Learning Research & Applications, vol. 4, no. 2, pp. 72–92, Oct. 2024, Accessed: Dec. 22, 2024. [Online]. Available: https://sydneyacademics.com/index.php/ajmlra/article/view/183