With the fast development of 3D data acquisition techniques, topographic point clouds have
become easier to acquire and have promoted many geospatial applications. Ground filtering …

In the evolving landscape of autonomous driving technology, Light Detection and Ranging
(LiDAR) sensors have emerged as a pivotal instrument for enhancing environmental …

Live ML analytics have gained increasing popularity with large-scale deployments due to
recent evolution of ML technologies. To serve live ML queries, experts nowadays still need …

The precise point cloud ground segmentation is a crucial prerequisite of virtually all
perception tasks for LiDAR sensors in autonomous vehicles. Especially the clustering and …

To ensure the safe operation of self-driving cars, it is necessary to identify the location and
layout of the road around the vehicle. Moreover, because road accidents pose a …

In mobile robotics, LASER scanners have a wide spectrum of indoor and outdoor
applications, both in structured and unstructured environments, due to their accuracy and …

With the increasing demand for mobile robots and autonomous vehicles, several
approaches for long-term robot navigation have been proposed. Among these techniques …

Ground segmentation, as the basic task of unmanned intelligent perception, provides an
important support for the target detection task. Unstructured road scenes represented by …

In outdoor environments, ground segmentation is an important pre-processing task for the
local environment perception of autonomous vehicle platforms and is the basis for obstacle …

Accurately and reliably perceiving the environment is a major challenge in autonomous
driving and robotics research. Traditional vision-based methods often suffer from varying …