Author(s): Femi Okafor and Ngozi Sadiq

Abstract: The rising complexity of modern roadways and increased hours spent driving have amplified the risks associated with driver fatigue and reduced attention. Fatigue is a leading cause of road accidents globally, prompting the need for enhanced in-vehicle technologies that can detect signs of fatigue and improve driver awareness. This review explores the role of Artificial Intelligence (AI)-powered Driver Assistance Systems (DAS) in mitigating the risks of fatigue-related incidents. By examining the integration of machine learning algorithms, facial recognition, sensor fusion, and real-time data analysis, we assess how AI-powered systems can enhance driver safety, monitor physical and cognitive states, and alert drivers to potential risks. Additionally, this article highlights the current challenges, limitations, and future prospects of AI-driven fatigue detection systems in autonomous and semi-autonomous vehicles.

Pages: 19-22 | Views: 104 | Downloads: 54

Download Full Article: Click Here