Questa è la nostra ultima selezione di pubblicazioni e brevetti in inglese sulla Realtà Aumentata (AR), tra numerose riviste scientifiche online, classificate e focalizzate su realtà aumentata, realtà mista, computer vision, feedback aptico, cuffie AR, tracciamento basato su marcatori, AR indossabile, esperienza interattiva e tecnologia immersiva.
Virtual, augmented, and mixed reality systems and methods with eye tracking
Patent published on the 2026-10-15 in WO under Ref WO2026217940 by MAGIC LEAP INC [US] (Gao Chunyu [us], Foster Paul Thomas [us], Mareno Jason Donald [us], Schaefer Jason [us], Binaee Kamran [us], Souiai Mohamed [us], Shanbhag Suraj Manjunath [us], Beck Douglas [us], Farmer Daniel [us], Patel Varij Kiritkumar [us], Schuelke Aaron Mark [us], )
Abstract: An optical see-through stack for use in a mixed-reality (MR) stack includes a waveguide to direct light toward an eye of a user to display virtual content to the user, wherein the waveguide has a prescription lens disposed adjacent the rear side of the waveguide. The stack also includes a prescription lens disposed adjacent the rear side of the waveguide. The stack further includes a front Extended Depth-of-Field (EDoF) lens disposed adjacent the front side of the waveguide. The prescription len[...]
Our summary: The optical see-through stack utilizes a waveguide to display virtual content to users. It incorporates prescription lenses to correct refractive errors and enhance depth perception. The front and rear Extended Depth-of-Field lenses work together to manage real-world and virtual object visibility.
eye tracking, mixed reality, waveguide, Extended Depth-of-Field
Patent
Controlling virtual content display based on environment
Patent published on the 2026-10-15 in WO under Ref WO2026217097 by MAGIC LEAP INC [US] (Singh Vikramjit [us], Miller Michael Nevin [us], Ong Ryan Jason [us])
Abstract: Techniques are described for controlling the presentation of virtual image content through a wearable display system, such as an augmented reality and/or mixed reality display system, based on the environment in proximity to the display system. In some embodiments, the virtual image content being presented through such a system may be modified to enable the user of the display system to have a better view of the physical world, for example by changing one or more of a position, a depth, a resolu[...]
Our summary: Techniques for controlling virtual content display adapt to the surrounding environment. Modifications to virtual images enhance user interaction with the physical world. Changes can be triggered by the presence of nearby individuals, adjusting visibility accordingly.
augmented reality, mixed reality, wearable display, environmental interaction
Patent
Vision-based augmented reality scanning of items
Patent published on the 2026-10-15 in US under Ref US20260320933 by DOORDASH INC [US] (Zhou Weiyu [us], Huang Albert [us], Sung Sihun [us])
Abstract: [0000] A device can display a prompt to capture an image sequence, which can include a plurality of images, of a shelf unit with items and item tags comprising machine readable codes adjacent to the items. The device can generate a first user interface visualization that indicates first scanning instructions for a first image based on a previous image of the image sequence. The device can display the first user interface visualization and the first image. The device can generate a second user in[...]
Our summary: The device captures an image sequence of a shelf unit with items. It generates user interface visualizations to guide scanning instructions. The visualizations help in displaying images and managing the scanning process.
augmented reality, image sequence, user interface, machine readable codes
Patent
A method, apparatus, and computer-readable medium for enhancing entity perception of a machine learning model based on concept trajectories
Patent published on the 2026-10-14 in GB under Ref GB2705493 by AUMOVIO GERMANY GMBH [DE] (Georgii Mikriukov [de])
Abstract: Enhancing entity perception of a machine learning model using a sequence of data units; extracting, from a layer of the model, a local concept vector for each data unit. Entities in each local concept vector are identified by obtaining a concept trajectory of each entity by connecting the local concept vectors of the entity across consecutive data units of the sequence of data units. Analysis of the concept trajectories allows identification of perception anomalies of the one or more entities ba[...]
Our summary: A method enhances entity perception in machine learning models using concept trajectories. It extracts local concept vectors from data units to identify perception anomalies. The model adjusts based on the analysis of these anomalies to improve performance in applications like computer vision and autonomous driving.
entity perception, machine learning, concept trajectories, perception anomalies
Patent
System and method for real-time monitoring utilizing machine-learning based upon sensor data
Patent published on the 2026-10-08 in US under Ref US20260310688 by STATE FARM MUTUAL AUTOMOBILE INSURANCE CO [US] (Breitweiser Edward W [us], Marsaglia Julia [us], Moore Eric R [us], Swartz Andrew T [us], Lin Harrison [us], Finley Eric A [us], Crawford Jennifer L [us])
Abstract: System and methods for analyzing data to generate personalized response(s) are disclosed. The method may include, such as by one or more processors, transceivers, and/or sensors: receiving collected sensor data from external data stores; utilizing an NLP model and a computer vision model to categorize the collected data into improvement category, positive category, or neutral category; retrieving policy data corresponding to the user from data store(s); inputting the categorized data and the pol[...]
Our summary: The system utilizes machine learning to analyze sensor data for real-time monitoring. It categorizes data using NLP and computer vision models to generate personalized responses. The system continuously updates and evaluates compliance levels based on new sensor data.
real-time monitoring, machine learning, sensor data, personalized responses
Patent
Method for supporting spatial computing functions in ims-based augmented reality calls with data channels
Patent published on the 2026-10-08 in US under Ref US20260313387 by INTERDIGITAL VC HOLDINGS INC [US] (Hamza Ahmed [ca], Gudumasu Srinivas [ca])
Abstract: This present system, methods and device relate to the support for execution of spatial computing function in IP multimedia subsystem (IMS)-based augmented reality (AR) calls with data channel support. This enables the WTRU to offload, based on its capabilities and conditions, some spatial computing function to the media function (MF) in the IMS architecture.[...]
Our summary: The system supports spatial computing functions in IMS-based AR calls. It allows the WTRU to offload spatial computing tasks to the media function. This enhances the performance and efficiency of AR applications.
spatial computing, IMS, augmented reality, data channels
Patent
SAR Remote Collaboration Platform Supporting ATI for Training Tasks
Published on 2026-08-20 by @MIT
Abstract: AbstractGlobal events, including pandemics and geopolitical conflicts, have catalyzed a fundamental reevaluation of remote collaboration paradigms across training, technical assistance, maintenance, and educational domains. While conventional video conferencing technologies have achieved widespread adoption, significant potential remains for advancing augmented reality (AR)-based remote collaboration methodologies. Though hand-drawn AR annotations (AAS) remain prevalent for visual instruction de[...]
Our summary: The research presents a Spatial AR (SAR) platform that enhances remote collaboration for training tasks. It utilizes an Adaptive Transformation of Instructions (ATI) methodology to improve communication clarity. User studies indicate significant improvements in task completion and collaborative experience with ATI-based cues.
SAR, Remote Collaboration, Augmented Reality, Adaptive Transformation of Instructions
Publication
Knowledge graph-augmented monitoring and productivity analysis of precast concrete assembly
Published on 2026-07-16 by @OXFORD
Abstract: AbstractMonitoring precast concrete (PC) assembly is hindered by logical inconsistencies, occlusions, and the inability of frame-by-frame analysis to capture temporal sequences. To address this, we propose a neuro-symbolic vision framework integrating data-driven deep learning with knowledge-based reasoning. The system combines YOLOv11, DeepSORT, and Video Masked Autoencoders (VideoMAE), enhanced by a knowledge-graph reasoning engine that applies spatial and temporal domain constraints. Methodol[...]
Our summary: A neuro-symbolic vision framework integrates deep learning with knowledge-based reasoning for monitoring precast concrete assembly. The system employs YOLOv11, DeepSORT, and VideoMAE, achieving high precision and recall while maintaining real-time performance. Experimental results show minimal error in productivity analysis, confirming the framework s effectiveness in enhancing project efficiency.
knowledge graph, neuro-symbolic, precast concrete, productivity analysis
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