Traffic congestion is a serious challenge in urban areas. So, to address this challenge, the
intelligent traffic management system (ITMS) is used to manage traffic on road networks …

Unmanned ground vehicles (UGVs) have great potential in the application of both civilian
and military fields, and have become the focus of research in many countries. Environmental …

Abstract Vehicle Load Monitoring (VLM) on entire long-span bridge decks presents
significant challenges due to the spatial and temporal randomness of vehicles. Existing VLM …

Newly deployed trains have massive normal data and scarce faulty data for training, which
limits the diagnosis accuracy with class imbalance problem of small samples. Considering …

Identifying the type of vehicle on the road is a challenging task, especially in the natural
environment with all its complexities, such that the traditional architecture for object detection …

To enhance the precision and stability of vehicle component detection for intelligent claims
assessment and intelligent vehicle detection, it is necessary to address the problem of …

Video-based multiple object tracking (MOT) is a fundamental task in intelligent transportation
with applications ranging from automated traffic surveillance to autonomous driving. MOT …

In order to improve the accuracy and real-time of image mosaic, realize the multi-view
conveyor belt surface fault online detection, and solve the problem of longitudinal tear of …

A new online multi-class learning algorithm is proposed with three main characteristics. First,
in order to make the feature pool fitter for the pattern pool, the adaptive feature pool is …

Traffic monitoring through video processing is one of the hot research areas in the Intelligent
Transportation System (ITS). Vehicle counting systems should be simple enough to be …