That means the Jeep Wrangler 4xe, Jeep Grand Cherokee 4xe and Chrysler Pacifica PHEV are all discontinued starting with the ...

The Genesis G70 landed on the scene in 2017, and by the time it hit US roads in 2019, it was clear this was the driver’s car ...

Abstract: To enhance user safety and experience, the next-generation transportation system needs to understand and classify drivers’ behavior accurately. For instance, reckless or unsafe behavior may ...

Genesis aims to challenge iconic sports cars like the Porsche 911 and Chevy Corvette with a new two-door featuring a V-8 ...

Abstract: In this paper we introduce a general estimation methodology for learning a model of human perception and control in a sensorimotor control task based upon a finite set of demonstrations. The ...

Abstract: Intelligentization is an inevitable trend in the development of modern vehicles. However, the diversity and nonprofessional nature of drivers present significant challenges to the design and ...

Abstract: Driver genes play a crucial role in the growth of cancer cells. Accurate identification of cancer driver genes is essential for deepening our understanding of cancer pathogenesis and ...

Abstract: Researchers have made significant advancements in detecting driver attention using physiological signals, yet existing models are often constrained by weak feature saliency, narrow feature ...

Abstract: This study investigates how the optimal driving position is shaped by the forces acting on the driver and the performance requirements of an FSAE vehicle. Using a comprehensive dataset based ...

Abstract: Every year, countless people lose their lives in serious car accidents, and drowsy driving is a major cause. However, because the earliest indications of exhaustion can be identified before ...

Abstract: Designing brain-computer interface systems for electroencephalogram (EEG)-based driver drowsiness recognition remains a significant challenge due to the significant variation in EEG signals ...

Abstract: This study presents a quantitative framework for defining preventable boundaries in scenario-based assessments of Automated Driving Systems (ADS) grounded in a novel driver behavior model.