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.

Objective: This study aimed to examine whether high-level basketball players exhibit superior multi-object tracking abilities compared to low-level basketball players using the three-dimensional multi ...

Researchers have developed a new algorithm that can help multiple drones work together to control and transport heavy payloads. Developed by scientists at TU Delft, the algorithm can help perform ...

Can you really win multiple track events in one day? Yes! With the right strategy, you can maintain speed, recover fast, and outlast the competition. Here’s the game plan! Donald Trump reacts to Miami ...

A novel two-stage Track-Before-Detect (TbD) method has been developed to significantly improve the detection of weak moving targets using reflected Global Navigation Satellite System (GNSS) signals.

This project implements a multi-camera tracking system that combines YOLO object detection, epipolar geometry-based matching, triangulation and 3D tracking to provide 3D object localization and ...

Scientists at Tarim University of China have proposed a way to address the challenging problem of pose recognition for photovoltaic panel cleaning robots. Their novel ...

Abstract: Multi-object tracking(MOT) algorithms aim to accurately locate and track multiple objects across consecutive video frames while maintaining consistent object identities. Currently, ...

Sakana AI released an open-source algorithm on Tuesday, which allows multiple artificial intelligence (AI) models to collaborate on complex problems. Dubbed Adaptive Branching Monte Carlo Tree Search ...