Autonomous vehicles (AVs) are emerging in the automobile industry with potential benefits
to reduce traffic congestion, improve mobility and accessibility, as well as safety. According …

High-resolution pixel LED headlamps are lighting devices that can produce high-resolution
light distribution to adapt to road and traffic conditions, intelligently illuminate traffic areas …

An important and challenging aspect of developing an intelligent transportation system is the
identification of nighttime vehicles. Most accidents occur at night owing to the absence of …

In recent years, computer vision algorithms have become more powerful, which enabled
technologies such as autonomous driving to evolve rapidly. However, current algorithms …

The training workflow of neural networks can be quite complex, potentially time‐consuming,
and require specific hardware to accomplish operation needs. This study presents a novel …

Recently, the lack of expansion joint gaps on highway bridges in Korea has been
increasing. In particular, with the increase in the number of days during the summer …

Vehicle identification and detection is an important part of building intelligent transportation.
Various methods have been proposed in this field, but recently the YOLOv8 model has been …

With the rapid development of convolutional neural networks (CNNs), real-time traffic
monitoring, which benefits both traffic optimization and management, has been widely …

The collision avoidance system (CAS) is an essential system for safe driving that alerts the
driver or automatically applies the brakes in an expected situation of a vehicle collision. To …

Detecting vehicle at night is critical to both assistant driving systems and autonomous driving
systems. In this paper, we propose a deep network scheme assisted by light information with …