Abstract Advanced Driver Assistance System (ADAS) is a Cyber-Physical System (CPS)
application mainly developed for human–machine interaction. We employ the CPS …

Undersea/subsea data collection via automated underwater vehicles (AUVs) plays an
important role for marine biodiversity research, while it is often much more challenging than …

This paper presents a segmented trajectory planning strategy for active collision avoidance
system. Considering the longitudinal and lateral movement of the obstacle vehicle, as well …

Blind and visually impaired people face different challenges when navigating indoors and
outdoors. In this context, we suggest developing an obstacle detection system based on a …

Abstract Blind and Visually Impaired (BVI) persons encounter safety problems during their
navigation. Therefore, assisting BVI must be addressed. Obstacle detection and avoidance …

Modern cars have focused on road safety by guaranteeing driver, pedestrians, and other
traffic object safety. Advanced driver assistance systems are a set of intelligent systems that …

Accurate and rapid human detection is crucial for emergency rescue in indoor fire scenarios,
and surveillance video provides more possibilities for this work. However, smoke from fires …

The potential for connected automated vehicles is multifaceted, and automated
advancement deals with more of Internet of Things (IoTs) development enabling artificial …

Traffic sign detection (TSD) in real-time environment holds great importance for applications
such as automated-driven vehicles. Large variety of traffic signs, different appearances, and …

Conventional facemask detection algorithms face challenges of insufficient accuracy, large
model size, and slow computation speed, limiting their deployment in real-world scenarios …