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 ...
Deep learning pipeline for player detection and analytics using YOLO, DeepSORT, and custom metrics covers model training, tracking, feature extraction, insights, and visualization for sports data.
As more nations and private companies turn their sights toward the Moon, the region between Earth and lunar orbit has become a frontier of opportunity, risk, and strategic competition. Now, the U.S.
Meta Platforms Inc. today is expanding its suite of open-source Segment Anything computer vision models with the release of SAM 3 and SAM 3D, introducing enhanced object recognition and ...
Scientists using a global array of radio telescopes have detected the universe’s lowest-mass dark object by observing how it warped light through gravitational lensing. The invisible mass, about a ...
By utilizing eye-tracking data and deep learning techniques, we can support more accurate and efficient diagnostic processes. In summary, based on existing literature and our experiments, we found ...
Deep-Learning-Based Object Detection and Tracking of Debris Flows in 3-D Through LiDAR-Camera Fusion
Abstract: Debris flows are mixtures of water and sediments and are a significant natural hazard in mountainous regions. A novel monitoring approach combining LiDAR sensors and video cameras enables ...
Abstract: Multi-modal fusion is imperative to the implementation of reliable object detection and tracking in complex environments. Exploiting the synergy of heterogeneous modal information endows ...
A transmit antenna at Site 1 of the Deep-Space Advanced Radar Capability (DARC) in Western Australia is shown at night. Credit: Doug Humphries, BAE Systems WASHINGTON — A new deep-space radar site in ...
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