LiDAR occupies a vital position in self-driving as the advanced detection technology
enables autonomous vehicles (AVs) to obtain much environmental information. Ground …

This letter proposes an efficient two-step segmentation method for large-scale 3-D point
cloud data collected by the mobile laser scanners. First, a new scan-line-based ground …

With benefits from wide-range detection and accurate measurements, LiDAR has been
widely studied in the field of autonomous driving. Yet many challenges remain in modern …

Scene understanding based on LiDAR point cloud is an essential task for autonomous cars
to drive safely, which often employs spherical projection to map 3D point cloud into multi …

Given 3D LiDAR point clouds, how can we segment them fast and accurately? Fast and
accurate segmentation of 3D LiDAR points is an important issue in mobile robotics with …

The segmentation of point clouds is an important aspect of automated processing tasks such
as semantic extraction. However, the sparsity and non-uniformity of the point clouds …

The recent activity in the area of autonomous vehicle navigation has initiated a series of
reactions that stirred the automobile industry, pushing for the fast commercialization of this …

In LIght Detection And Ranging (LIDAR)-based object detection, accurate object
segmentation is of great importance, since segmentation is an essential preprocessing step …

Obtaining a comprehensive model of large and complex ground typically is crucial for
autonomous driving both in urban and countryside environments. This paper presents an …

Ground segmentation is an important preprocessing task for autonomous vehicles (AVs)
with 3D LiDARs. However, the existing ground segmentation methods are very difficult to …