Electric vehicles (EVs) have gained significant attention in recent years due to their potential
to reduce greenhouse gas emissions and improve energy efficiency. An EV's main source of …

The flourishing realm of advanced driver-assistance systems (ADAS) as well as autonomous
vehicles (AVs) presents exceptional opportunities to enhance safe driving. An essential …

Vehicle and pedestrian perception are key for autonomous vehicles, and camera images
are a common part of the sensor suite. This study explored the use of synthetic datasets from …

In this paper, we design a technologically intelligent wheelchair with eye-movement control
for patients with ALS in a natural environment. The system consists of an electric wheelchair …

Driver distraction is a significant factor leading to traffic accidents. Detecting driver distraction
is crucial for the development of advanced driver assistance systems (ADAS). With the …

Numerous current Quantum Machine Learning (QML) models exhibit an inadequacy in
discerning the significance of quantum data, resulting in diminished efficacy when handling …

One essential issue in skeleton-based driver action recognition is that incomplete skeletons
collected from real scenes would degrade model performance. However, existing models …

Real-time driving distraction detection has garnered significant attention due to its potential
to build various driving safety protections such as distraction warnings and driver assistance …

Driver distraction behavior recognition is crucial for improving driving safety. Traditional end-
to-end driver distraction detection models are susceptible to factors such as the driving …

Person Re-Identification is a critical component in modern video surveillance systems for
locating individuals across cameras from various viewpoints. However, one of the significant …