XDA Developers on MSN
5 reasons an old PC is better than any consumer firewall you can buy
Having a properly configured firewall on your computer is an important part of staying safe online, but having one on your ...
Abstract: The widely deployed ways to capture a set of unorganized points, e.g., merged laser scans, fusion of depth images, and structure-from-$x$ , usually yield a ...
Abstract: Water leakage poses a significant threat to the safe operation of tunnels. We utilized a mobile laser Scanner (MLS) to collect point cloud data under adverse tunnel conditions. A data ...
Abstract: Point clouds can be represented in many forms (views), typically, point-based sets, voxel-based cells or range-based images(i.e., panoramic view). The point-based view is geometrically ...
Abstract: Multispectral LiDAR contributes to the rapid acquisition of 3D spatial and spectral information of land covers, providing more comprehensive features for classification. Despite the ...
Abstract: This paper explores the task-oriented compact representation of 3D point clouds, which should maintain the performance of subsequent applications applied to such compact point clouds as much ...
Abstract: Accurate understanding of 3D objects in complex scenes plays essential roles in the fields of intelligent transportation and autonomous driving technology. Recent deep neural networks have ...
Abstract: Point cloud denoising and normal estimation are two fundamental yet dependent problems in digital geometry processing. However, both are often independently researched, leading to ...
Abstract: Aiming at the long-distance trans-regional transmission of power data in the new power system, this paper first analyzes the suitability of 5G communication network and power business, then ...
Abstract: Place recognition task is a crucial part of 3D scene recognition in various applications. Nowadays, learning-based point cloud place recognition approaches have achieved remarkable success.
Abstract: Clinical applications that involves risk stratification of patients often predict the likely occurrence of an event such as the development of a complication as well as the time to the next ...
Abstract: The semantic segmentation of light detection and ranging (LiDAR) point clouds plays an important role in 3-D scene intelligent perception and semantic modeling. The unstructured, sparse and ...
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