The reliability of autonomous driving sensing systems impacts the overall safety of the
driving system. However, perception system fault diagnosis is currently a weak area of …

The Internet of Vehicles and information security are key components of a smart city. Real‐
time road perception is one of the most difficult tasks. Traditional detection methods require …

In order to promote traffic safety at freeway off-ramps, this paper designed a hybrid model to
identify a lane-changing with vision technology. The unmanned aerial vehicle was used to …

Road markings are beneficial to human drivers, advanced driver assistance systems
(ADAS), and automated driving systems (ADS); on the contrary, snow coverage on roads …

Road scene understanding, as a field of research, has attracted increasing attention in
recent years. The development of road scene understanding capabilities that are applicable …

The explosive growth of massive data captured by various sensors on modern vehicles has
impelled the deployment of Commercial Off-The-Shelf (COTS) accelerators for the research …

Lane detection and tracking in a complex road environment is one of the most important
research areas in highly automated driving systems. Studies on lane detection cover a …

Lane detection is a cardinal functionality in state-of-the-art Advanced Driver Assistant
Systems (ADAS). However, it is still not straightforward to fulfill the real-time performance …

Lane vehicle detection is fundamental to vehicle driving systems and self-driving. The
proposed concept is to employ the pixel difference in the intended lane line backdrop to …

Previous real-time lane-level positioning algorithms for in-vehicle navigation systems have
problems of inaccurate positioning and insufficient robustness. Therefore, this paper …