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

The stable detection and tracking of high-speed vehicles on the road by using LiDAR can
input accurate information for the decision-making module and improve the driving safety of …

In this paper, a novel method for point cloud segmentation based on Euclidean clustering
and multi-plane extraction is proposed. To cope with overhanging objects, such as tree …

For autonomous driving, traversability analysis is one of the most basic and essential tasks.
In this paper, we propose a novel LiDAR‐based terrain modeling approach, which could …

Light detection and ranging (LiDAR) provides a 3-D understanding of environment and
plays an important role in autonomous driving. To study the influence of 3-D data quality on …

The task of multimodal cancer detection is to determine the locations and categories of
lesions by using different imaging techniques, which is one of the key research methods for …

Real-time and accurate ground segmentation is a crucial technology for intelligent vehicles.
On the one hand, it obtains drivable area information for vehicles, which is of great …

Whether it be to feed data for an object detection-and-tracking system or to generate proper
occupancy grids, 3D point cloud extraction of the ground and data classification are critical …

Safe and efficient berthing is essential to ensure maritime transportation and the safety of
ships and ports. Three-dimensional (3D) light detection and ranging (LiDAR) can monitor …

Distinguishing obstacles from ground is an essential step for common perception tasks such
as object detection-and-tracking or occupancy grid maps. Typical approaches rely on plane …