Point clouds acquired through laser scanning and stereo vision techniques have been
applied in a wide range of applications, proving to be optimal sources for mapping 3D urban …

We propose a novel, computationally efficient, and robust light detection and ranging
(LiDAR)-only odometry framework based on truncated least squares termed T-LOAM. Our …

With the rapid development of mobile robots, environmental perception based on a single
sensor can hardly meet the task requirements of the robots for object detection and path …

With its essential role in achieving full autonomy of robot navigation, place recognition has
been widely studied with various approaches. Recently, numerous point cloud-based …

This study proposes a measuring method to measure the altitude and straightness of
hydraulic support groups based on point clouds to tackle the shortcomings in the current …

The perception system has become a topic of great importance for autonomous vehicles, as
high accuracy and real-time performance can ensure safety in complex urban scenarios …

Accurate and real-time tracking of multiple moving objects in 3-D space is critical for
intelligent transportation applications such as autonomous driving and traffic monitoring …

Purpose To the industrial application of intelligent and connected vehicles (ICVs), the
robustness and accuracy of environmental perception are critical in challenging conditions …

The vehicle-road cooperative perception needs high accuracy and real-time automatic
background filtering to separate background objects from foreground objects in complex …

Simultaneous localization and mapping (SLAM) employing 3-D light detection and ranging
(LiDAR) data constitutes an indispensable perception technology for geospatial sensing of …