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 ...

Global navigation satellite systems (GNSS) are vital for positioning autonomous vehicles, buses, drones, and outdoor robots. Yet its accuracy often degrades in dense urban areas due to signal blockage ...

DEIMv2 is an evolution of the DEIM framework while leveraging the rich features from DINOv3. Our method is designed with various model sizes, from an ultra-light version up to S, M, L, and X, to be ...

Biologists and engineers have joined forces to build a new robot bat that’s helping us understand how real bats use ...

In a recent study, researchers from China have developed a chip-scale LiDAR system that mimics the human eye's foveation by dynamically concentrating high-resolution sensing on regions of interest ...

Nvidia’s new AI system, Alpamayo, could prove a major step to making autonomous cars a common sight on our roads.

Abstract: Accurate 3D multi-object tracking (MOT) is crucial for autonomous driving, as it enables robust perception, navigation, and planning in complex environments. While deep learning-based ...

⚠️ 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! 🏊‍♂️ ...

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: Visual target navigation is a critical capability for autonomous robots operating in unknown environments, particularly in human-robot interaction scenarios. While classical and ...