Advances in Single-vehicle intelligence of automated driving has encountered great
challenges because of limited capabilities in perception and interaction with complex traffic …

Although Cooperative Driving Automation (CDA) has attracted considerable attention in
recent years, there remain numerous open challenges in this field. The gap between …

Autonomous driving (AD) and Cooperative Driving Automation (CDA) hold great promise for
transforming mobility. However, current off-the-shelf AD or CDA platforms such as Autoware …

Cooperative adaptive cruise control and platooning are well-known applications in the field
of cooperative automated driving. However, extension toward maneuvering is desired to …

Employing Vehicle-to-Vehicle communication to enhance perception performance in self-
driving technology has attracted considerable attention recently; however, the absence of a …

Sooner than expected, roads will be populated with a plethora of connected and
autonomous vehicles serving diverse mobility needs. Rather than being stand-alone …

Cooperative Automated Driving (CAD) brings together driving automation technology with
vehicle-to-X (V2X) communication in order to enable vehicles to coordinate their driving …

Object detection and tracking play a fundamental role in enabling Cooperative Driving
Automation (CDA), which is regarded as the revolutionary solution to addressing safety …

The research community has increasing interest in autonomous driving research, despite
the resource intensity of obtaining representative real world data. Existing self-driving …

The recent proliferation of computing technologies (eg, sensors, computer vision, machine
learning, and hardware acceleration) and the broad deployment of communication …