Near-infrared (NIR) photon detection and object recognition are crucial technologies for all-weather target identification.

Not in sight, but within hearing range: detecting and locating drones thanks to intelligent sensor data fusion ...

Stanford researchers have developed an innovative computer vision model that recognizes the real-world functions of objects, potentially allowing autonomous robots to select and use tools more ...

In the process of target detection for tomato harvesting robots, there are two primary challenges. First, most existing tomato harvesting robots are limited to fruit detection and recognition, lacking ...

We take our understanding of where we are for granted, until we lose it. When we get lost in nature or a new city, our eyes and brains kick into gear, seeking familiar objects that tell us where we ...

InstructSAM is a training-free framework for Instruction-Oriented Object Counting, Detection, and Segmentation (InstructCDS). We construct EarthInstruct, an InstructCDS benchmark for remote sensing.

ABSTRACT: Traffic monitoring plays a vital role in smart city infrastructure, road safety, and urban planning. Traditional detection systems, including earlier deep learning models, often struggle ...

a, Example of ISM-FLUX on nanorulers consisting of three fluorophores with 40 nm spacing between nearest neighbours. With a single-element detector, none of the nanorulers can be resolved, due to the ...

Researchers have designed an intelligent household robot capable of autonomous navigation, object detection, and sorting. This robot, equipped with advanced technologies like depth cameras, YOLOv11 ...

Introduction: Accurate vehicle analysis from aerial imagery has become increasingly vital for emerging technologies and public service applications such as intelligent traffic management, urban ...

Abstract: To address the challenges of small and medium-sized target recognition, as well as inconspicuous foreground features in complex backgrounds, this paper proposes a novel visual object ...