Ground segmentation is a crucial task in the field of 3D LiDAR perception for autonomous
driving. It is commonly used as a preprocessing step for tasks such as object detection and …

The precise extraction of road boundaries is an essential task to obtain road infrastructure
data that can support various applications, such as maintenance, autonomous driving …

There has been increased demand for safe and efficient speed measurement of moving
objects in engineering and practical applications, particularly in scenarios involving the …

In order to solve the problem of image boundary segmentation caused by the irregularity of
paddy fields in southern China, a high-precision segmentation method based on the …

Accurate road surface from a three-dimensional (3D) point cloud depends on various
parameters. One crucial parameter is the set of point features. Point features enable …

This work presents a Light Detection and Ranging (LiDAR)-based point cloud method for
detecting and tracking road edges. Initially, this work explores the progress in detecting road …

Intelligent vehicles require accurate identification of traversable road areas and the ability to
provide precise and real-time localization data in unstructured road environments. To …

In this study, a method utilizing a 3D LiDAR (Light Detection and Ranging) sensor for
mapping and obstacle detection in autonomous vehicles has been developed. The LiDAR …