ALICE-LRI (Automatic LiDAR Intrinsic Calibration Estimation for Lossless Range Images) is a C++ and Python library for lossless range image generation and reconstruction from spinning 3D LiDAR point ...
Tesla's Full Self-Driving (Supervised) may not actually be autonomous, but it is still one-of-a-kind in the U.S. even years after its initial launch. For now. While advanced driver-assistance systems ...
Voyant has announced the Helium family of fully solid-state 4D FMCW LiDAR sensors and modules for simultaneous depth and velocity measurement. Based on a proprietary silicon photonic chip, the ...
The South Dakota High School Activities Association’s Football Advisory Committee will meet Monday, Dec. 1, at 10:30 a.m. via Zoom, where members will review statewide rule changes and consider a long ...
Point cloud semantic segmentation technology for road scenes plays an important role in the field of autonomous driving. However, accurate semantic segmentation of large-scale and non-uniformly dense ...
The innovation here is the new classification of aquatic vegetation based on the association level using unmanned aerial vehicle (UAV)-mounted sensing technology, and a light detection and ranging ...
Abstract: The remote sensing scene classification is critical in a wide range of applications. A significant number of studies have adopted deep learning methods for scene classification from remote ...
Background: Pulmonary capillary wedge pressure (PCWP) provides an objective assessment of congestion status in heart failure (HF) patients, but its use is limited by the need for an invasive procedure ...
ZX Lidars has advanced its wind lidar capabilities with the global release of ZX 300e, which received the world’s first 21-200 m IEC Classification at the independent test sites of wind engineering ...
After I start the quadruped robot, a LiDAR point cloud artifact appears in front of it. This artifact seems to be a residual shadow of the point cloud from objects directly ahead. As the quadruped ...