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 ...
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 ...
Implement Neural Network in Python from Scratch ! In this video, we will implement MultClass Classification with Softmax by making a Neural Network in Python from Scratch. We will not use any build in ...
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 ...
Bitcoin's correlation with equities strengthening, driven by retail and institutional adoption After October crash, bitcoin has struggled; may end down for the year AI stock volatility affects crypto ...
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 ...
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 ...
Abstract: Point cloud segmentation is an essential and efficient task in high-definition trajectory-level traffic information extraction for roadside LiDAR. State-of-the-art methods use conventional ...
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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