Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...
This repository provides code and workflows to test several state-of-the-art vehicle detection deep learning algorithms —including YOLOX, SalsaNext, RandLA-Net, and VoxelRCNN— on a Flash Lidar dataset ...
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 ...
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 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 ...
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