Autonomous driving has the ability to reshape mobility and transportation by reducing road
accidents, traffic jams, and air pollution. This can yield energy efficiency, convenience, and …

Vehicle-to-Vehicle technologies have enabled autonomous vehicles to share information to
see through occlusions, greatly enhancing perception performance. Nevertheless, existing …

Over the last decade, the use of autonomous drone systems for surveying, search and
rescue, or last-mile delivery has increased exponentially. With the rise of these applications …

For decades, motorsport has been an incubator for innovations in the automotive sector and
brought forth systems, like, disk brakes or rearview mirrors. Autonomous racing series such …

Recent advancements in Vehicle-to-Everything communication technology have enabled
autonomous vehicles to share sensory information to obtain better perception performance …

Simulated motorsports are an exciting environment in which to explore the power and
limitations of deep reinforcement learning. Racing requires precise control of a vehicle that …

This perspective paper delves into the concept of foundation intelligence that shapes the
future of smart infrastructure services as the transportation sector transitions into the era of …

Optimization problems for trajectory planning in autonomous vehicle racing are
characterized by their nonlinearity and nonconvexity. Instead of solving these optimization …

Motion planning for autonomous racing is a challenging task due to the safety requirement
while driving aggressively. Most previous solutions utilize the prior information or depend on …

In this article, we present secure cooperative localization for connected automated vehicles
(CAVs) based on consensus estimation through leveraging shared but possibly attacked …