As a self-driving car cruises down a street, it uses cameras and sensors to perceive its environment, taking in information on pedestrians, traffic ...

CES 2026 showcases the latest AI-powered devices and systems, from vision chips for automotive to sensing solutions for AI ...

Abstract: Differentiable simulation has become a powerful tool for system identification. While prior work has focused on identifying robot properties using robot-specific data or object properties ...

⚠️ 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! 🏊‍♂️ ...

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 ...

1 Institute of Modern Agricultural Equipment, Xihua University, Chengdu, China 2 Inner Mongolia Academy of Agricultural and Animal Husbandry Sciences, Hohhot, China Introduction: Tracked agricultural ...

Abstract: Object detection has made remarkable advancement in recent years particularly through CNN-based algorithms, essential for autonomous vehicles. These vehicles need efficient detection systems ...

Electric vehicles increasingly rely on software to stay stable, efficient, and safe. As cars take on more automated driving tasks, they must interpret complex road conditions faster than human drivers ...