Vol. 2 No. 1 (2022): Journal of AI-Assisted Scientific Discovery
Articles

The Development and Implementation of AI-Based Lane Keeping Assistance Systems for Autonomous Vehicles

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  • Dr. Ezekiel Iwuagwu
Dr. Ezekiel Iwuagwu
Professor of Electrical Engineering, Federal University of Technology Owerri (FUTO), Nigeria
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Published 30-06-2022

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How to Cite

[1]
Dr. Ezekiel Iwuagwu, “The Development and Implementation of AI-Based Lane Keeping Assistance Systems for Autonomous Vehicles”, Journal of AI-Assisted Scientific Discovery, vol. 2, no. 1, pp. 44–62, Jun. 2022, Accessed: Oct. 07, 2024. [Online]. Available: https://scienceacadpress.com/index.php/jaasd/article/view/70

Abstract

It worth noting that development direction of LKAS is a middle approach when the LKAS ensures the vehicle correct positioning without a commanded trajectory tracking. For conduct the required research, it is necessary to use both simulation and field tests. In our opinion, real life field tests are the most convincing way to verify the working algorithm. In this connection, the contribution of the present paper is validation of the developed LKAS algorithm under the realistic conditions of traffic and weather as well as the check of the filter stability even if GPS errors are presented [1].

Development of automated driving technologies is performed all over the world. Lane Keeping Assistance Systems (LKAS) for vehicles are the majority of one of the key technologies for automated driving systems. The American National Highway Traffic Safety Administration (NHTSA) has defined LKS systems as “a lane-keeping support system capable of assisting the driver in the performance dynamic lane keeping tasks enabling the vehicle to navigate through a series of gentle curves under the driver’s control”. The object of the present research is to develop an automated control algorithm that helps a vehicle move in the center of the designated lane while using inexpensive commercially available components under the condition of GPS coverage. We have performed numerical simulations using commercial “VeDYV” software to assess the LKAS feasibility in the cases of a positive road crown and zero-crown. For GPS checking measurements, we have used the Ukrainian GPS reference network and the specialized smartphone application in our tests. We have also conducted several field tests at the highways of Ukraine using a medium class motor car.

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