Artificial Intelligence In Self-Driving: Study of Advanced Current Applications
Artificial Intelligence In Self-Driving: Study of Advanced Current Applications |
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| © 2023 by IJETT Journal | ||
| Volume-71 Issue-8 |
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| Year of Publication : 2023 | ||
| Author : Guirrou Hamza, Mohamed Zeriab Es-sadek, Youssef Taher |
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| DOI : 10.14445/22315381/IJETT-V71I8P220 | ||
How to Cite?
Guirrou Hamza, Mohamed Zeriab Es-sadek, Youssef Taher, "Artificial Intelligence In Self-Driving: Study of Advanced Current Applications," International Journal of Engineering Trends and Technology, vol. 71, no. 8, pp.225-242, 2023. Crossref, https://doi.org/10.14445/22315381/IJETT-V71I8P220
Abstract
In this paper, we investigate the advances of Artificial Intelligence (AI) in the field of self-driving technology. We provide an overview of the key processes involved in autonomous navigation, including perception, mapping, localization, path planning, and motion control. We highlight the crucial role of AI in the development of self-driving technologies, in particular Machine Learning (ML), Deep Learning Networks (DLN), and Computer Vision Techniques (CVT). Special attention is also given to various existing navigation approaches and the role of ADAS in assisting the driver in various tasks. We discuss how AI is used to solve the various environmental challenges faced by automotive sensors and the contribution of v2x communication and the SLAM system to safe and efficient navigation. Finally, We conclude with potential future research segments and opportunities for AI in the self-driving industry. Overall, this study emphasizes the growing importance of AI in the development of self-driving technology and its potential to revolutionize the transportation industry.
Keywords
Artificial Intelligence, Self Driving, Navigation, Perception, Path Planning, Vehicle control, ADAS, V2X, SLAM, Sensor Fusion.
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