User trust has been identified as a critical issue that is pivotal to the success of autonomous
vehicle (AV) operations where artificial intelligence (AI) is widely adopted. For such …

Purpose-Perception has been identified as the main cause underlying most autonomous
vehicle related accidents. As the key technology in perception, deep learning (DL) based …

In the last decade, deep learning (DL) approaches have been used successfully in computer
vision (CV) applications. However, DL-based CV models are generally considered to be …

Automated navigation technology has established itself as an integral facet of intelligent
transportation and smart city systems. Several international technological organizations …

Different systems based on Artificial Intelligence (AI) techniques are currently used in
relevant areas such as healthcare, cybersecurity, natural language processing, and self …

Artificial intelligence (AI) is the most looked up technology with a diverse range of
applications across all the fields, whether it is intelligent transportation systems (ITS) …

Automated driving desires better performance on tasks like motion planning and interacting
with pedestrians in mixed-traffic environments. Deep learning algorithms can achieve high …

Autonomous driving has achieved significant milestones in research and development over
the last decade. There is increasing interest in the field as the deployment of self-operating …

Explanations in automated vehicles help passengers understand the vehicle's state and
capabilities, leading to increased trust in the technology. Specifically, for passengers of SAE …

Recently, the concept of autonomous driving became prevalent in the domain of intelligent
transportation due to the promises of increased safety, traffic efficiency, fuel economy and …