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

Machine Learning for Autonomous Vehicle Route Planning and Optimization

Dr. Henrique Sentieiro
Professor of Informatics, University of Coimbra (UC)
Cover

Published 24-06-2024

Keywords

  • artificial intelligence,
  • autonomous vehicle development

How to Cite

[1]
Dr. Henrique Sentieiro, “Machine Learning for Autonomous Vehicle Route Planning and Optimization”, Journal of AI-Assisted Scientific Discovery, vol. 2, no. 2, pp. 1–20, Jun. 2024, Accessed: Sep. 19, 2024. [Online]. Available: https://scienceacadpress.com/index.php/jaasd/article/view/51

Abstract

In the last decade of the 20th and the first decade of the 21st century, the use of autonomous driving products and systems did not pass more than cases that were developed for special operations such as military or space missions. The starting point of autonomous driving for public daily use was wide-release pedestrian and bicycle crash warning. Since then, in its development, different mini- or fully autonomous functions are released to the wide public such as autonomous parking, highway driving, raspberry pi-based self-driving car, very-large-hole-road agv control systems, etc. In this chapter entry, we aim to compare the role and effects of the artificial intelligence and learning algorithms during the landmark studies over the small history of autonomous driving to the evolution of fully autonomous vehicle development. key points of the evolution of artificial intelligence in autonomous vehicle systems are shared throughout the chapter entry.

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