A research team from the Visual Perception and Cognition Laboratory and the Cognitive Neurotechnology Unit at Toyohashi University of Technology investigated how the movements of autonomous mobile ...

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 ...

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 ...

Abstract: This paper focuses on developing a vehicle tracking algorithm for vehicle inspection systems. Tracking small vehicle movements in small enclosed systems can be challenging, but offers ...

Physical artificial intelligence (PAI) enables machines to perceive, reason, and act within the real world, bridging the gap between digital AI (DAI), sometimes called virtual AI, and physical action.

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! 🏊‍♂️ ...

Google DeepMind is teaming up with Boston Dynamics to give its humanoid robots the intelligence required to navigate unfamiliar environments and identify and manipulate objects—precisely the kinds of ...