The University of Jordan :: Research Groups :: The Role of Artificial Intelligence and Machine...

Dr. Hasan Farahneh participated with a research paper on artificial intelligence in autonomous vehicles

The integration of Artificial Intelligence (AI) and

Machine Learning (ML) is revolutionizing the field of autonomous

vehicles, enabling safer, more efficient, and more reliable

transportation systems. AI algorithms power critical functions

such as **object detection**, path planning, and **decisionmaking

by processing vast amounts of sensor data from cameras,

LiDAR, radar, and GPS. Machine Learning models, particularly

deep learning networks, excel at identifying and predicting the

behavior of objects and pedestrians in dynamic environments,

enhancing the vehicle’s situational awareness. Furthermore,

reinforcement learning is used to optimize driving strategies

by learning from simulated and real-world experiences. This

paper explores the role of AI and ML in autonomous vehicles,

examining their contributions to navigation, obstacle avoidance,

and traffic management, while also discussing the challenges

and ethical considerations that come with implementing these

technologies in public roadways. The findings suggest that AI

and ML are indispensable for the advancement of autonomous

vehicles and hold the potential to transform global transportation

networks.

The Role of Artificial Intelligence and Machine Learning in Autonomous Vehicles