Autonomous driving is expected to provide a range of far-reaching economic, environmental
and safety benefits. In this study, we propose a fog computing based framework to assist …

To enhance on-road environmental perception for autonomous driving, accurate and real-
time analytics on high-resolution video frames generated from on-board cameras becomes …

Currently, many automated vehicle systems primarily perceive the environment from a single
perspective and as a result are unable to leverage additional scene information from the …

For road safety, detecting and reacting efficiently to road hazards is crucial and yet
challenging due to practical restrictions such as limited data availability, which relies on …

Realizing human-like perception is a challenge in open driving scenarios due to corner
cases and visual occlusions. To gather knowledge of rare and occluded instances …

Automated driving and advanced driver assistance systems benefit from complete
understandings of traffic scenes around vehicles. Existing systems gather such data through …

Recent years have witnessed rapid advances in autonomous driving technologies.
Autonomous vehicles are more likely to be accepted if they drive comfortably to avoid …

Automated driving is coming with enormous potential for safer, more convenient, and more
efficient transportation systems. Besides onboard sensing, autonomous vehicles can also …

Vehicular communication applications, be it for driver-assisting augmented reality systems
or fully driverless vehicles, require an efficient communication infrastructure for timely …

As vehicular communication and networking technologies continue to advance,
infrastructure-based roadside perception emerges as a pivotal tool for connected automated …