Collaborative object localization and sharing at smart intersections promises to improve
situational awareness of traffic participants in key areas where hazards exist due to visual …

As most vehicles spend over 95% of their time in the parking lots, the powerful computing
resources of parked vehicles (PVs) are underutilized, that can be considered as available …

The Internet of Vehicles (IoV) has become a fundamental platform for advancing Intelligent
Transportation Systems (ITSs) and Intelligent Connected Vehicles (ICVs). However, the …

The cooperative, connected, and automated mobility (CCAM) infrastructure plays a key role
in understanding and enhancing the environmental perception of autonomous vehicles …

Vehicle-to-everything (V2X) autonomous driving opens up a promising direction for
developing a new generation of intelligent transportation systems. Collaborative perception …

Recent advancements in Vehicle-to-Everything (V2X) technologies have enabled
autonomous vehicles to share sensing information to see through occlusions, greatly …

Performing autonomous driving in urban environments is a challenging task, especially
when there is a reduced visibility of traffic participants in complex driving scenarios. For this …

A map, as crucial information for downstream applications of an autonomous driving system,
is usually represented in lanelines or centerlines. However, existing literature on map …

The way people drive vehicles has a great impact on traffic safety, fuel consumption, and
passenger experience. Many research and commercial efforts today have primarily …

The great success of artificial intelligence and edge computing technology has largely
promote the development of connected and autonomous driving. However, owing to the …