Localization is critical for automated vehicles as it provides essential position, velocity, and
heading angle information to perform object tracking, trajectory prediction, motion planning …

Lighting systems in intelligent transportation system (ITS) can play a crucial role in
promoting sustainability through various measures, including enhanced driving safety …

Lane detection plays an important role in the field of automatic driving. Conventional
convolutional operations typically focus on local block-like region, while lane often span …

High precision, strong reliability, and wide range of perception can provide essential data
support for the safe and efficient driving of autonomous vehicles. Based on the technology …

Continuous and highly accurate positioning of land vehicles continues to be a substantial
challenge in urban GNSS-denied environments. Although the vehicle motion model (VMM) …

Matching high definition (HD) map and real-time sensor data, which is crucial for map-based
intelligent vehicle localization, usually requires robust and distinct road features extracted …

The traditional mining industry confronts several challenges, including a hazardous working
environment, a labor shortage, and efficiency bottlenecks. Recent advances in autonomous …

A lightweight, high‐definition vector map (HDVM) enables fully autonomous vehicles.
However, the generation of HDVM remains a challenging problem, especially in complex …

As unmanned ground vehicles (UGVs) applications expand to large-scale and open road
scenarios, vectorized high-definition maps (VHD maps) demonstrate greater potential in …

Accurate and robust vehicle localization, a fundamental task for autonomous driving, is still a
challenging problem especially in GPS-denied scenarios. Recently, high definition (HD) …