Autonomous driving needs various line-of-sight sensors to perceive surroundings that could
be impaired under diverse environment uncertainties such as visual occlusion and extreme …

Autonomous driving perceives surroundings with line-of-sight sensors that are compromised
under environmental uncertainties. To achieve real time global information in high definition …

Autonomous vehicle systems require sensor data to make crucial driving and traffic
management decisions. Reliable data as well as computational resources become critical …

Collaborative perception enables autonomous driving vehicles to share sensing or
perception data via broadcast-based vehicle-to-everything (V2X) communication …

Cooperative perception is the key approach to augment the perception of connected and
automated vehicles (CAVs) toward safe autonomous driving. However, it is challenging to …

Optical sensors and learning algorithms for autonomous vehicles have dramatically
advanced in the past few years. Nonetheless, the reliability of today's autonomous vehicles …

Recently, autonomous driving ignited competitions among car makers and technical
corporations. Low-level autonomous vehicles are already commercially available. However …

The safety of autonomous driving can be improved with the support of Cooperative Vehicle-
Infrastructure System (CVIS) and Vehicular Edge Computing (VEC), which benefit greatly …

Environmental perception is a key element of autonomous driving because the information
received from the perception module influences core driving decisions. An outstanding …

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 …