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

AI-Based Autonomous Vehicle Path Planning

Dr. Beatrice Kern
Professor of Information Systems, University of Applied Sciences Potsdam, Germany

Published 26-10-2024

Keywords

  • AI-Based,
  • Autonomous Vehicle,
  • Path Planning

How to Cite

[1]
D. B. Kern, “AI-Based Autonomous Vehicle Path Planning”, African J. of Artificial Int. and Sust. Dev., vol. 4, no. 2, pp. 62–77, Oct. 2024, Accessed: Nov. 21, 2024. [Online]. Available: https://africansciencegroup.com/index.php/AJAISD/article/view/198

Abstract

Nowadays, society's main concern is the development of transportation technologies in a digital way. One of the major advancements in this arena is autonomous vehicles, which can perform driving processes like a human being without any human intervention. The world is on an evolutionary trend to make all such transportation systems completely driven by an artificial intelligence (AI) system. AI systems are developed with a strong inclusion of learning technologies that enable autonomous cars to understand and learn from their experiences and environments. This AI context creates a strong bridge between transportation, technology, and society to envision a new world scenario. AI-based driving systems for automobiles can be developed by implementing various AI tools and mechanisms in order to make them more intelligent. AI-based driving systems are becoming ever more advanced due to enhancements in computing systems, algorithms, data collection, and supporting systems.

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