Results 111 to 120 of about 9,658 (219)
Abstract Automating bridge inspections requires more than detecting individual damage instances. It demands systems capable of describing, contextualizing, and interpreting damage in an inspection‐relevant manner. Conventional computer vision approaches, such as object detection and segmentation, primarily address visual recognition tasks and are ...
Rona Firdes Çelik +2 more
wiley +1 more source
Looking for Trouble: Pre‐Intervention Monitoring in Human and AI Driver Training
We compare two types of situations involving monitoring of car driving: a driving instructor overseeing a trainee driver and a safety driver overseeing the performance of autonomous vehicle (AV) software. Our focus is on instances of monitoring that precede (1) interventions that are aborted before impacting the driving and (2) actual interventions on ...
Mathias Broth +2 more
wiley +1 more source
Managing Robot Perception: How Families Present Their Faces to a Toy Robot
Playing with a robot's face detection capabilities constitutes a praxeological approach to learning about new technology. We explore how family members discover suitable formations for a Cozmo robot to scan a single face, drawing on video recordings from Swedish homes. Taking an ethnomethodology and conversation‐analysis perspective, we demonstrate how
Hannah Pelikan +2 more
wiley +1 more source
Abstract The rapid integration of generative artificial intelligence (GenAI) is reshaping language learning environments, yet little is known about how it becomes embedded within learners' motivational and agentive experiences in collaborative, informal settings like English drama‐based learning.
Meng Xiong, Timothy Teo
wiley +1 more source
Visual Perception and Autonomous Navigation Control for Orchard Robots: From Scene Understanding to Closed-Loop Motion Execution. [PDF]
Wang Y, Dong X, Zhang Z, Zhang Z, Jia W.
europepmc +1 more source
Abstract Graph neural networks (GNNs) have revolutionised the processing of information by facilitating the transmission of messages between graph nodes. Graph neural networks operate on graph‐structured data, which makes them suitable for a wide variety of computer vision problems, such as link prediction, node classification, and graph classification.
Amit Sharma +4 more
wiley +1 more source
Artificial intelligence innovations in low vision rehabilitation: a systematic review of emerging technologies. [PDF]
Karikari KB +12 more
europepmc +1 more source
ControlScene: Controllable Text‐to‐3D Scene Generation via Structured Layout Priors
ABSTRACT Text‐to‐3D scene generation has emerged as a promising approach for enabling natural and intuitive 3D content creation through language. However, existing methods often struggle with generating scenes that are semantically faithful, spatially coherent and controllable, primarily due to the lack of grounded spatial reasoning and fine‐grained ...
Ruyi Zhang +5 more
wiley +1 more source
Real-time XR-based 6-DOF catheter tracking enhances cardiac intervention navigation efficiency and depth perception. [PDF]
Annabestani M +5 more
europepmc +1 more source
Image understanding plays a pivotal role in various computer vision tasks, such as extraction of essential features from images, object detection, and segmentation.
Sarfaraz Ahmed Mohammed, Anca L. Ralescu
core +1 more source

