Recent advances in terrestrial laser scanning (TLS) technology have enabled the automatic
capture of three‐dimensional vegetation structure at high resolution, but the scalability of …

Subsurface networks include mining tunnels, caves, and the urban underground. Each of
these environments presents a complex setting with significant challenges in exploration …

3D perception in point clouds is transforming the perception ability of future intelligent
machines. Point cloud algorithms, however, are plagued by irregular memory accesses …

Point cloud analytics is poised to become a key workload on battery-powered embedded
and mobile platforms in a wide range of emerging application domains, such as …

The ability to drive autonomously in heterogeneous environments without GPS, pattern
identification (eg road following), or artificial landmarks is key to field robotics. To address …

Environmental detection and underground space navigation is an important research
direction in the field of intelligent information for coal mines, which is very important for the …

Machine perception applications are increasingly moving toward manipulating and
processing 3D point cloud. This paper focuses on point cloud registration, a key primitive of …

Komatsu Ltd. is reinforcing the R&D of automation technology for our earth-movers. Based
on this trend, a path planning methodology for autonomous bulldozers is proposed and …

In this paper, we introduce a novel conditional generative adversarial network that creates
dense 3D point clouds, with color, for assorted classes of objects in an unsupervised …

Deep learning on point clouds has attracted increasing attention for various emerging 3D
computer vision applications, such as autonomous driving, robotics, and virtual reality …