Autonomous vehicles require constant environmental perception to obtain the distribution of
obstacles to achieve safe driving. Specifically, 3D object detection is a vital functional …

In the initial period of automobile development, the vast majority of researchers would never
have guessed network communications would be applied to vehicles one day. After the …

Autonomous vehicles require safe motion planning in uncertain environments, which are
largely caused by surrounding vehicles. In this paper, a driving environment uncertainty …

Autonomous driving is a technological innovation that involves the use of Artificial
Intelligence (AI) in the automotive area, representing the future of transport and whose …

The rapid development of intelligent control technology has also brought about changes in
the automotive industry and led to development of autonomous or self-driving vehicles. To …

Electric vehicle (EV) is a paradigm shift for automotive, power industries, and people. EV
penetration increases due to environmental concerns. Growing demand shows that reliable …

Autonomous driving systems (ADS) operate in an environment that is inherently complex. As
these systems may execute a task without the permission of a human agent, they raise major …

Scenario-based testing is envisioned as a key approach for the safety assurance of
autonomous vehicles. In scenario-based testing, relevant (driving) scenarios are the basis of …

The gigantic complexity and heterogeneity of today's advanced cyber-physical systems and
systems of systems is multiplied by the use of avant-garde computing architectures to …

Optimizing traffic dynamics in an evolving transportation landscape is crucial, particularly in
scenarios where autonomous vehicles (AVs) with varying levels of autonomy coexist with …