This paper presents a vehicle detection and classification system using distributed fiber-
optic acoustic sensing (DAS) technology and describes a comprehensive classification …

Vehicle reidentification (reID) targets at matching same vehicle images captured from
multicameras, which has become a hot topic in recent years. However, it poses the critical …

In vehicle trajectory prediction, the difficulty in modeling the interaction relationship between
vehicles lies in constructing the interaction structure between the vehicles in the traffic …

Synthetic aperture radar (SAR) image classification using deep neural network has drawn
great attention, which generally requires various layers of deep model for feature learning …

Along with the growing demands of intelligent traffic system, how to recognize the category
information of a car from surveillance cameras has been an important task. Fine-grained car …

With the ongoing development and improvement of deep learning technology, autonomous
vehicles (AVs) have made tremendous progress in recent years. Despite its great potential …

Convolutional neural network (CNN) hardware accelerators for specialized Internet of
Things (IoT) requiring high accuracy is an emerging research topic. The pooling module in a …

With the development of smart cities, urban surveillance video analysis plays a further
significant role in intelligent transportation systems. Vehicle re-identification (re-ID) aims at …

Inspired by multi-agent systems (MASs) and ensemble models, a novel method of vehicle
make and model recognition (VMMR) based on a vehicle's front-view images is presented in …

Extracting vehicle information is of great significance to the construction of the Internet of
Vehicles (IoV). Vehicle logo detection (VLD) technology can effectively extract vehicle …