The recent boom of autonomous driving nowadays has made object detection in traffic
scenes a hot topic of research. Designed to classify and locate instances in the image, this is …

Advances in information and signal processing technologies have a significant impact on
autonomous driving (AD), improving driving safety while minimizing the efforts of human …

Accurate and consistent vulnerable road user detection remains one of the most challenging
perception tasks for autonomous vehicles. One of the most complex outstanding issues is …

The advancement of artificial intelligence (AI) has truly stimulated the development and
deployment of autonomous vehicles (AVs) in the transportation industry. Fueled by big data …

Vehicle detection and tracking play an important role in autonomous vehicles and intelligent
transportation systems. Adverse weather conditions such as the presence of heavy snow …

Accurate predictions of future pedestrian trajectory could prevent a considerable number of
traffic injuries and improve pedestrian safety. It involves multiple sources of information and …

The field of object detection has made great progress in recent years. Most of these
improvements are derived from using a more sophisticated convolutional neural network …

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 …

Monocular 3D object detection has the merit of low cost and can be served as an auxiliary
module for autonomous driving system, becoming a growing concern in recent years. In this …

Vision‐based vehicle detection plays an important role in intelligent transportation systems.
With the fast development of deep convolutional neural networks (CNNs), vision‐based …