Recently, with the rapid development of information and communication technologies, the
infrastructures, resources, end devices, and applications in communications and networking …

Accurate vehicle classification and tracking are increasingly important subjects for intelligent
transport systems (ITSs) and for planning that utilizes precise location intelligence. Deep …

Despite significant advances and innovations in deep network-based vehicle detection
methods, finding a balance between detector accuracy and speed remains a significant …

Intelligent transportation systems, or ITS for short, includes a variety of services and
applications such as road traffic management, traveler information systems, public transit …

Recent works on Convolutional Neural Network (CNN) in object detection and identification
show its superior performance over other systems. It is being used on several machine …

Vehicle classification has evolved into a significant subject of study due to its importance in
autonomous navigation, traffic analysis, surveillance and security systems, and …

Detection and classification of vehicles are two of the most challenging tasks of a video-
based intelligent transportation system. Traditional detection and classification methods are …

This research presented a new approach for vehicle classification using roadside LiDAR
sensor. Six features (one feature, object height profile, contains 10 sub-features) extracted …

We investigate a range of solutions in carmake and model'recognition. Several different
feature detection approaches are investigated and applied to the problem including a new …

Although a quantum state requires exponentially many classical bits to describe, the laws of
quantum mechanics impose severe restrictions on how that state can be accessed. This …