Transformers are more and more popular in computer vision, which treat an image as a
sequence of patches and learn robust global features from the sequence. However, pure …

Precise real‐time obstacle recognition is both vital to vehicle automation and extremely
resource intensive. Current deep‐learning based recognition techniques generally reach …

For the past several decades, the number of vehicles has been increased for many times,
leading to a lot of traffic issues. The nighttime accident rate is much higher than that in …

Night time vehicle detection and tracking using traditional visible light cameras is a
challenging task due to the limited visibility. The current state-of-the-art systems treat the …

Existing night vehicle detection methods mainly detect vehicles by detecting headlights or
taillights. However, these features are adversely affected by the complex road lighting …

Vehicle re-identification (ReID) technology has played a more and more important role in
Intelligent Transport System (ITS), which aims at searching the same query vehicle identity …

Vehicle re-identification (Re-ID) plays an important role in intelligent transportation systems.
It usually suffers from various challenges encountered on the real-life environments, such as …

Autonomous driving systems in internet of vehicles (IoV) applications usually adopt a cloud
computing mode. In these systems, information got at the edge of the cloud computing …

Vehicle re-identification (re-ID) is a vital technique to the urban intelligent video surveillance
system and smart city. Given a query vehicle image, the vehicle re-ID aims to search and …

In recent years, vision-based vehicle detection has received considerable attention in the
literature. Depending on the ambient illuminance, vehicle detection methods are classified …