This article presents a comprehensive survey of deep learning applications for object
detection and scene perception in autonomous vehicles. Unlike existing review papers, we …

The rapid evolution of autonomous technology in the field of automotive and information
technology (IT) has made it possible to implement autonomous vehicles (AVs) for public …

Federated learning using fog computing can suffer from the dynamic behavior of some of the
participants in its training process, especially in Internet-of-Vehicles where vehicles are the …

Autonomous vehicles (AVs) represent a technological revolution in the transportation
sphere. The efficient and orderly introduction of AVs will require their acceptance by the …

Testing self-driving vehicles is still a new and immature process; the globally harmonised
procedure expected much later. The resource-demanding nature of real-world tests makes it …

Human–Machine Interaction (HMI) in Intelligent and Connected Vehicles (ICVs) has drawn
great attention in recent years due to its potentially significant positive impacts on the …

Autonomous driving systems (ADS) in recent years have been the subject of focus, evolving
as one of the major mobility disruptors and being a potential candidate for deployment in …

Attitudes of a sample of 211 UK people who are blind concerning autonomous vehicles
(AVs), and the determinants of the willingness of people who are blind to travel in AVs, were …

The question of how to increase speed and flexibility in times of digital disruption is essential
to almost any company. While previous research mainly addresses agility in the context of …

Advances in artificial intelligence (AI) are increasingly enabling firms to develop services
that utilize autonomous vehicles (AVs). Yet, there are significant psychological barriers to …