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

Autonomous vehicles (AVs) are the latest trend in the automobile industry. Although the
concept has existed since the beginning of the last century, recent technological …

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

Along the continuous transformations of enterprises, centralized service delivery models
have been transitioning from an offshore employee sourcing to digital sourcing. Deploying …

In this paper, we discuss how people's user experience (UX) of autonomous driving (AD)
cars can be understood as a shifting anticipatory experience, as people experience degrees …

Amid growing social interest and investment in the implementation of robots throughout the
elderly care system, the benefits and challenges faced by care facility personnel have also …

Amidst rising interest in autonomous vehicle services, extant literature reveals a paucity of
research examining: 1) both cognitive and emotional evaluations; 2) characteristics of the …

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 …

Without public support, the deployment of Automated Vehicles (AVs) is doomed to failure.
Therefore, their acceptability has been widely studied. On the basis of a systematic literature …

Driverless cars, often viewed as low-carbon tourism mobility and can contribute to
sustainable tourism, have generated much discussion. This study adds to ongoing but …