Light Detection and Ranging (LiDAR) technology has the advantages of high detection
accuracy, a wide range of perception, and not being affected by light. The 3D LiDAR is …

Traffic object detection and tracking is one of the fundamental tasks in processing point
cloud data to collect high-resolution vehicle trajectories using Roadside LiDAR sensors …

This paper presents a methodology to detect rear-end conflicts at signalized intersections
with the help of roadside LiDAR sensors. Raw data collected in the point cloud format from …

Crash prediction models (CPMs) are mostly developed using statistical or data-driven
methods that rely on observed crashes. However, the historical crash records can be …

This study proposes using connected automatic vehicles (CAVs) as traffic flow detectors to
collect and exchange traffic flow data for heterogeneous traffic management and control …

The accurate and stable estimation of traversability is a crucial task for unmanned ground
vehicle (UGV) driving in off-road environments. However, the complexity of off-road …

Light detection and ranging (LiDAR) is a crucial roadside intelligent perception device in
cooperative vehicle infrastructure systems, which can generate a large amount of disordered …

The development of a traffic monitoring system to analyze and improve traffic flow is
fundamental to the efforts of efficient traffic management, enabling smarter and safer …

The underlying weaknesses of crash data have led to the shift of traffic safety analysis from
reactive to proactive approaches. Using conflicts/near-crashes as crash surrogates is the …