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 ...
3D Point Cloud Image of The of Statue of Liberty With Voyant's Carbon™ LiDAR Sensor in Bright Sunlight. The past decade has seen significant investments in autonomous vehicles and 3D sensing ...
├── configs/ │ └── pointpillars.yaml │ ├── datasets/ │ └── nuscenes_dataset.py │ ├── models/ │ ├── pointpillars.py │ ├── pillar_encoder.py │ └── losses.py │ ├── utils ...
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 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 ...
Department of Civil and Environmental Engineering, National Center for Airborne Laser Mapping (NCALM), University of Houston, Houston, TX, United States The study explores deep learning to perform ...
ABSTRACT: With the development of unmanned aerial vehicle (UAV) LiDAR technology, large-scale high-precision point cloud data is gradually playing an important role in the classification and ...