This is our latest selection of worldwide publications and patents in english on Augmented Reality (AR), between many scientific online journals, classified and focused on augmented reality, mixed reality, computer vision, haptic feedback, AR headset, marker-based tracking, wearable AR, interactive experience and immersive technology.
Eco-Friendly Design for Sustainable Gift Packaging
Published on 2025-03-10 by Andreja Poga?ar, Diana Gregor-Svetec @MDPI
Abstract: Modern packaging must be efficient, safe, and attractively designed, while also minimizing unnecessary waste. Eco-design principles, such as material reduction, reusability, and minimal environmental impact, were central to this study. We applied these principles to the development of innovative, multipurpose gift packaging and labels, optimizing material use, eliminating unnecessary printing, and integrating sustainable features such as a structural design which requires no gluing. Alongside ch[...]
Our summary: Efficient, safe, and attractively designed packaging and labels with minimal environmental impact. Innovative, multipurpose gift packaging optimized for material use and sustainability. Incorporation of interactive elements and augmented reality application for enhanced product appeal.
eco-friendly design, sustainable gift packaging, eco-design principles, biodegradable paper label
Publication
Curriculum-Guided Adversarial Learning for Enhanced Robustness in 3D Object Detection
Published on 2025-03-09 by Jinzhe Huang, Yiyuan Xie, Zhuang Chen, Ye Su @MDPI
Abstract: The pursuit of robust 3D object detection has emerged as a critical focus within the realm of computer vision. This paper presents a curriculum-guided adversarial learning (CGAL) framework, which significantly enhances the adversarial robustness and detection accuracy of the LiDAR-based 3D object detector PointPillars. By employing adversarial learning with prior curriculum expertise, this framework effectively resists adversarial perturbations generated by a novel attack method, P-FGSM, on 3D p[...]
Our summary: Enhanced robustness in 3D object detection through curriculum-guided adversarial learning, development of Pillar-RBFN, creation of Adv-KITTI dataset, adaptive focal loss formulation.
Curriculum-Guided Adversarial Learning, 3D Object Detection, PointPillars, Adversarial Robustness
Publication
A Lightweight TA-YOLOv8 Method for the Spot Weld Surface Anomaly Detection of Body in White
Published on 2025-03-08 by Weijie Liu, Miao Jia, Shuo Zhang, Siyu Zhu, Jin Qi, Jie Hu @MDPI
Abstract: The deep learning architecture YOLO (You Only Look Once) has demonstrated its superior visual detection performance in various computer vision tasks and has been widely applied in the field of automatic surface defect detection. In this paper, we propose a lightweight YOLOv8-based method for the quality inspection of car body welding spots. We developed a TA-YOLOv8 network structure which has an improved Task-Aligned (TA) head detection, designed to handle a small sample size, imbalanced positiv[...]
Our summary: A lightweight YOLOv8-based method for detecting spot weld surface anomalies on car body in white using a Task-Aligned head detection network structure, improving efficiency and accuracy with fewer parameters, and achieving better processing speed and detection metrics in actual production environments.
YOLOv8, deep learning, anomaly detection, lightweight
Publication
Case Study in Santiago de Chile
Published on 2025-03-07 by Jorge Joo-Nagata, Jorge Rodr�guez-Becerra @MDPI
Abstract: Augmented reality and mobile pedestrian navigation are trends in mobile devices that, as a whole, are what mobile augmented reality is. This technology has great potential for the visualisation of content about heritage. Considering the above and the quality of the heritage elements, it is possible to characterise these aspects territorially, allowing for the analysis of location sensors. These new spatial aspects complement the presentation of information on these resources. In this way, by inc[...]
Our summary: Case study analyzing the potential of mobile augmented reality for visualizing heritage content in Santiago de Chile, by incorporating territorial indicators to classify and determine areas with specific characteristics related to heritage values.
mobile augmented reality, pedestrian navigation, heritage visualization, location sensors
Publication
Virtual and Real Occlusion Processing Method of Monocular Visual Assembly Scene Based on ORB-SLAM3
Published on 2025-03-06 by Hanzhong Xu, Chunping Chen, Qingqing Yin, Chao Ma, Feiyan Guo @MDPI
Abstract: Addressing the challenge of acquiring depth information in aero-engine assembly scenes using monocular vision, which complicates mixed reality (MR) virtual and real occlusion processing, we propose an ORB-SLAM3-based monocular vision assembly scene virtual and real occlusion processing method. The method proposes optimizing ORB-SLAM3 for matching and depth point reconstruction using the MNSTF algorithm. MNSTF can solve the problems of feature point extraction and matching in weakly textured and [...]
Our summary: Virtual and real occlusion processing method based on ORB-SLAM3 optimized with MNSTF algorithm for monocular vision assembly scenes, improving accuracy and real-time performance.
ORB-SLAM3, Monocular Vision, MNSTF, Mixed Reality
Publication
Lessons from Pre-Service Teachers
Published on 2025-03-06 by Valerie Czok, Holger Weitzel @MDPI
Abstract: Technological advancement and growing interest in digitalizing education increased Augmented Reality (AR) use in education. However, previous research findings on AR’s potential for knowledge acquisition are inconclusive. Furthermore, computer self-efficacy has seldom been evaluated. AR is frequently combined with game-based approaches (GAME), yet the specific impact of each feature, “AR” and “GAME”, is often not differentiate[...]
Our summary: Analysis of AR game-based learning environment for science teaching with pre-service teachers, Significant time effect for all groups in knowledge and self-efficacy gains, No clear advantage of either AR or GAME for science teaching design.
Augmented Reality, Game-based approaches, Knowledge acquisition, Computer self-efficacy
Publication
Equestrian leg training with user feedback and methods of using same
Patent published on the 2025-03-06 in WO under Ref WO2025049312 by GAUTESEN KYRA [US] (Gautesen Kyra [us])
Abstract: A system for providing feedback to a horseback rider may include a pressure sensor configured to be attached to a leg of the rider. The pressure sensor may be configured to be located between the leg of the rider and a horse. The pressure sensor may be configured to activate when subjected to a pressure that exceeds a threshold. A haptic feedback device may be configured to be coupled to the leg of the rider and electrically coupled to the pressure sensor. The haptic feedback device may be confi[...]
Our summary: System for providing feedback to horseback rider with pressure sensor and haptic feedback device.
Equestrian, leg training, feedback, pressure sensor
Patent
Systems and methods for trust-aware error detection, correction, and explainability in machine learning and computer vision
Patent published on the 2025-03-06 in WO under Ref WO2025049492 by AVAWATZ COMPANY [US] (Mckendry John [us], Iyer Rishabh [us], Anachi Rajini [us])
Abstract: Disclosed are methods, systems and non-transitory computer readable memory for trust-aware error detection, correction, and explainability. For instance, a method may include processing a test instance through a machine learning model to obtain a set of inferences; detecting errors in the set of inferences; automatically correcting the errors in the set of inferences and/or updating the machine learning model; determining post-hoc explanations into a cause of the errors; and outputting the post-[...]
Our summary: Systems and methods for trust-aware error detection, correction, and explainability in machine learning and computer vision. Methods, systems, and computer readable memory for trust-aware error detection, correction, and explainability. Processing test instances, detecting errors, correcting errors, updating machine learning model, determining post-hoc explanations, and outputting explanations to user.
error detection, correction, machine learning, computer vision
Patent
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