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 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 vehicles heavily rely on sensor data to make pivotal driving and traffic
management decisions. However, the reliability of such data can be profoundly impacted by …

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

High-definition (HD) maps will serve as the key enabler to achieve autonomous driving. To
maintain up-todate information in HD maps, we explore crowdsourcing from connected and …

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

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 …

High definition (HD) map needs to be updated frequently to capture road changes, which is
constrained by limited specialized collection vehicles. To maintain an up-to-date map, we …

Autonomous driving technology heavily relies on the accurate perception of traffic
environments, mainly through roadside cameras and LiDARs. Although several popular and …

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