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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: 3D object detectors based on LiDAR have been extensively used in autonomous and robotic systems. Efficient voxel-based models must downsample their feature space to reduce computation, which ...
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: 3D object detection from LiDAR data for autonomous driving has been making remarkable strides in recent years. Among the state-of-the-art methodologies, encoding point clouds into a bird's ...
Abstract: As a fundamental problem in photogrammetry and remote sensing, terrestrial laser scanner point cloud matching aims to seek a correspondence set that can match two partially overlapping point ...
Abstract: At present, with the original point cloud as input, most of the object detectors use Pointnet++ to extract features of the point cloud based on the Farthest Point Sampling (FPS). However, ...
Abstract: Autonomous driving requires perceiving surrounding scenes and predicting the future in order to navigate safely. 3D point clouds from LiDAR sensor accurately characterize the environment and ...
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Abstract: Spacecraft pose estimation plays a vital role in many on-orbit space missions, such as rendezvous and docking, debris removal, and on-orbit maintenance. At present, the mainstream ...
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 ...
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