In the near future, our streets will be populated by myriads of autonomous self-driving
vehicles to serve our diverse mobility needs. This will raise the need to coordinate their …

Autonomous vehicles have a great potential in the application of both civil and military fields,
and have become the focus of research with the rapid development of science and …

Most environment perception methods in autonomous vehicles rely on deep neural
networks because of their impressive performance. However, neural networks have black …

With the emergence of connected and automated vehicles (CAVs), the mixed traffic
environment where conventional human-driven vehicles (HVs) share the road space with …

To accomplish complex swarm robotic missions in the real world, one needs to plan and
execute a combination of single robot behaviors, group primitives such as task allocation …

Abstract Recent advancements in Intelligent Transportation Systems have endowed
vehicles with autonomous driving capabilities as well as V2X communication. Vehicular …

Abstract Vehicle to Vehicle (V2V) communication is a specific type of communication on
Vehicular Ad Hoc Network (VANET) that attracts the great interest of researchers, industries …

Although autonomous vehicle technology has evolved significantly in recent years, the
navigation of self-driving vehicles in complex scenarios is still an open issue. One of the …

Autonomous vehicles navigation in complex scenarios is still an open issue. One of the
major challenges is the safe navigation of autonomous vehicles on roads open to public …

Managing a dynamic traffic system is a challenging task in vehicular environments. Clarity of
vehicular data for efficient decision making is vital in Intelligent Transportation Systems (ITS) …