Scientists found a new way to track falling space debris using earthquake sensors, helping improve safety and response time.

Space agencies have long struggled to predict where large chunks of space hardware will come down, often with error bars that ...

Abstract: Consistency in 3D tracking is critical for vision-based autonomous driving systems. However, most existing multi-object tracking (MOT) methods are confronted with the limitation: detectors ...

Old satellites and other space junk fall toward Earth every day, and the shock waves they create could be used to track their trajectories, according to new research.

Abstract: Depth estimation of an object detected in a monocular camera view remains a famous challenge. The existing approaches to estimate object-wise depth use additional sensors such as stereo ...

⚠️ It is not an official Meta product. This project shows how to track objects in videos using the powerful DINOv3 model. Let's dive in! 🏊‍♂️ ...

For the first time in this season, Michigan basketball will enter a game coming off a loss. The Wolverines played well offensively the last time out against Wisconsin, but surprisingly it was their No ...

Prediction markets now place odds of Iranian Supreme Leader Ayatollah Ali Khamenei stepping down or being removed by the end of 2026 at roughly 65%, as mass protests and a deepening economic crisis ...

A real-time computer vision system that monitors objects using YOLOv8 and automatically detects when registered objects go missing from the surveillance area. Built with Python, OpenCV, and a modern ...

Robinhood already has had incredible success with prediction markets, and now it's going all-in on the business opportunity. Pro and college football contracts saw surging demand the moment Robinhood ...

The final, formatted version of the article will be published soon. Background As a driving force of the Fourth Industrial Revolution, deep learning methods have achieved significant success across ...