Prospective customers are becoming more concerned about safety and comfort as the
automobile industry swings toward automated vehicles (AVs). A comprehensive evaluation …

The aim of this paper is to synthesize and analyze existing evidence on connected vehicle
technologies, autonomous driving perception algorithms, and smart sustainable urban …

Cyclists are expected to interact with automated vehicles (AVs) in future traffic, yet we know
little about the nature of this interaction and the safety implications of AVs on cyclists. On …

Based on an in-depth survey of the literature, the purpose of the paper is to explore
intelligent transportation applications, autonomous vehicle perception sensor data, and …

Assisted and automated driving functions are increasingly deployed to support improved
safety and efficiency and enhance the driver experience. However, there are still key …

Much has been written about the risks posed by artificial intelligence (AI). This article is
interested not only in what is known about these risks, but what remains unknown and how …

This paper delivers an exhaustive analysis of the fusion of multi-sensor technologies,
including traditional sensors such as cameras, Light Detection and Ranging (LiDAR), Radio …

As transport automation technology continues to emerge, there is a need to engage in the
questions of its governing—to find a balance between unreflective enablement and rigid …

Self-driving vehicle (SDV) has become a new driving force in the automotive industry, but no
scholars have yet to dig deep into the competitive technology intelligence in the SDV field …

The automotive industry faces the challenge of digital transformation at present, especially
the autonomous vehicle. To explore the innovation links between different regional …