From Geometric Separation to Semantic Understanding: A Deep Analysis of the Essential Differences Between 3D Point Cloud Segmentation and Semantic Segmentation

Among these, 3D point cloud segmentation and semantic segmentation are two key technologies. Although both fall under the category of point cloud processing, there are essential differences in target ...
Nature

3D Point Cloud Processing and Semantic Segmentation

Three-dimensional point cloud processing has become an indispensable tool in fields ranging from autonomous navigation to heritage conservation by enabling the direct capture of spatial data. At its ...

Aeva Introduces AevaScenes, the First Open-Access FMCW 4D LiDAR and Camera Dataset for Autonomous Vehicle Research

Aeva® (Nasdaq: AEVA), a leader in next-generation sensing and perception systems, today announced the release of AevaScenes, ...
EurekAlert!

3-D laser scanning point clouds help to introduce building's facilities management

Researchers from Russia, China and India are going to develop the software for creating informative 3D-models of urban infrastructure objects using the laser scanner survey technologies and ...
AlphaGalileo

Unsupervised AI network separates wood and leaves in 3D forest scans

A research team has developed a powerful unsupervised deep learning network that can accurately separate wood and leaf ...
Nasdaq

Forescout Transforms Enterprise-Wide Network Segmentation with Release of Cloud-Based eyeSegment

SAN JOSE, Calif., Nov. 06, 2019 (GLOBE NEWSWIRE) -- Forescout Technologies, Inc. (NASDAQ: FSCT), the leader in device visibility and control, today announced that it is transforming enterprise-wide ...