In the past decade, autonomous vehicle systems (AVS) have advanced at an exponential
rate, particularly due to improvements in artificial intelligence, which have had a significant …

Intelligent vehicle technology has made tremendous progress due to Artificial Intelligence
(AI) techniques. Accurate behavior prediction of surrounding traffic actors is essential for the …

In step with rapid advancements in computer vision, vehicle classification demonstrates a
considerable potential to reshape intelligent transportation systems. In the last couple of …

Interactive learning environments can generate massive learning behavior data and the
support of learning behavior big data can ensure the completeness of data analysis and …

This paper presents a novel deep-learning method for detecting and tracking vehicles in
autonomous driving scenarios, with a focus on vehicle failure situations. The primary …

Vehicle detection and counting are getting progressively significant in highway
administration due to the varying sizes of vehicles. This paper proposes a vision-based …

Vehicle behavior analysis has gradually developed by utilizing trajectories and motion
features to characterize on-road behavior. However, the existing methods analyze the …

Technical route decision making of intelligent driving has always been the focus of attention
of automotive enterprises and even the industry. Firstly, this study combs the main technical …

Lane-changing is an important driving behavior and unreasonable lane changes can
potentially result in traffic accidents. Therefore, it is urgent to develop lane change detection …

Intelligent vehicle technology has made tremendous progress due to Artificial Intelligence
(AI) techniques. Accurate behavior prediction of surrounding traffic actors is essential for the …