As an effective way to acquire accurate information about the driving environment, LiDAR
perception has been widely adopted in autonomous driving. The state-of-the-art LiDAR …

Electric Vehicles (EVs) seem promising for future transportation to solve environmental
concerns and energy management problems. According to Reuters, global car makers plan …

Connected and autonomous vehicles (CAVs) can fulfill the emerging demand for smart
transportation on a global scale. Such innovations for transportation can bring manyfold …

Autonomous Driving (AD) systems rely on AI components to make safety and correct driving
decisions. Unfortunately, today's AI algorithms are known to be generally vulnerable to …

Safety compliance is paramount to the safe deployment of autonomous vehicle (AV)
technologies in real-world transportation systems. As AVs will share road infrastructures with …

Autonomous driving systems (ADSs) integrate sensing, perception, drive control, and
several other critical tasks in autonomous vehicles, motivating research into techniques for …

An increasing number of robotic programs are implemented based on Robot Operating
System (ROS), which provides many practical tools and libraries for robot development. To …

The evolution of Connected Vehicles (CVs) has introduced significant advancements in both
in-vehicle and vehicle-edge platforms, creating a highly connected ecosystem. These …