LiDAR-based 3D object detection pushes forward an immense influence on autonomous
vehicles. Due to the limitation of the intrinsic properties of LiDAR, fewer points are collected …

Computer vision applications in intelligent transportation systems (ITS) and autonomous
driving (AD) have gravitated towards deep neural network architectures in recent years …

Advanced driver assistance systems (ADASs) are becoming increasingly common in
modern-day vehicles, as they not only improve safety and reduce accidents but also aid in …

Object detection is an important part of autonomous driving technology. To ensure the safe
running of vehicles at high speed, real‐time and accurate detection of all the objects on the …

Recent advances on road damage detection relies on a large amount of labeled data, whilst
collecting pavement image is labor-intensive and time-consuming. Unsupervised Domain …

The key to autonomous navigation in unmanned systems is the ability to recognize static
and moving objects in the environment and to support the task of predicting the future state …

In recent years, pedestrian and vehicle detection at night has become an important subject
of computer vision applications. Because the environment light is weak at night, the common …

Comprehensive and accurate perception of the real 3D world is the basis of autonomous
driving. However, many perceptual methods focus on a single task or object type, and the …

As an important part of a bearing, a bearing ring (BR) is prone to producing various defects
on each surface in the production process, which seriously affects the reliability of the …

Urban built-up areas are not only the spatial carriers of urban activities but also the direct
embodiment of urban expansion. Therefore, it is of great practical significance to accurately …