Machine Learning in Autonomous Vehicles

An autonomous vehicle or self driving vehicle is a vehicle that can sense its environment and drive itself without human assistance. Machine learning is already being applied to several aspects of driverless technology and it will also play an essential role in future developments. It can be used individually on the output of each sensor modality to better classify objects, determine distance and movement, and predict the actions of other traffic participants. It is also implemented for higher levels of driver assistance, such as perceiving and understanding the world around a car. Autonomous vehicles is a disruptive technology that has the potential to transform the current transportation system by reducing traffic accidents and enhancing driving safety. This paper studies how machine learning is used in autonomous vehicles. Matthew N. O. Sadiku | Matthias Oteniya | Janet O. Sadiku "Machine Learning in Autonomous Vehicles" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-9 | Issue-6 , December 2025, URL: https://www.ijtsrd.com/papers/ijtsrd99828.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/99828/machine-learning-in-autonomous-vehicles/matthew-n-o-sadiku