Vol. 4 No. 2 (2024): African Journal of Artificial Intelligence and Sustainable Development
Articles

Real-Time AI Solutions for Autonomous Vehicle Navigation

Dr. Aïsha Diallo
Associate Professor of Computer Science, Cheikh Anta Diop University, Senegal

Published 09-10-2024

Keywords

  • Autonomous,
  • Vehicle,
  • Navigation

How to Cite

[1]
D. A. Diallo, “Real-Time AI Solutions for Autonomous Vehicle Navigation”, African J. of Artificial Int. and Sust. Dev., vol. 4, no. 2, pp. 123–133, Oct. 2024, Accessed: Nov. 21, 2024. [Online]. Available: https://africansciencegroup.com/index.php/AJAISD/article/view/194

Abstract

Autonomous vehicle navigation is a technology-intensive way to dehumanize driving. At present, the emergence of the global Internet of Vehicles has facilitated the widespread application of autonomous vehicles. Machine learning is widely recognized as an essential enabling technology for autonomous vehicles, featuring learning-based modeling of complex driving environments and efficient decision-making that can be explained and interpreted easily to meet stringent safety requirements. In fact, the use of advanced decision-making algorithms to navigate autonomously is a make-or-break issue for autonomous vehicles. This review mainly focuses on AI techniques and developmental directions for assisted and autonomous vehicle navigation.

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