Article
Chemistry, Analytical
Sepehr Laal, Paul Vasilyev, Sean Pearson, Mateo Aboy, James McNames
Summary: An evaluation of a new wearable technology that combines inertial sensors and cameras for tracking human kinematics. This technology has the potential to overcome limitations of other dominant technologies, achieving accurate localization and mapping through SLAM algorithms.
Article
Engineering, Biomedical
Reham H. H. Elnabawy, Slim Abdennadher, Olaf Hellwich, Seif Eldawlatly
Summary: This article proposes an approach that utilizes four image enhancement techniques to improve object recognition and localization for visual prostheses users. The results demonstrate that using all enhancement techniques simultaneously can increase the accuracy and confidence level in recognizing and grasping objects.
BIOMEDICAL ENGINEERING ONLINE
(2022)
Article
Environmental Sciences
Zhi Zeng, Hui Lin, Zhizhong Kang, Xiaokui Xie, Juntao Yang, Chuyu Li, Longze Zhu, Andrzej Stateczny
Summary: This paper proposes a dynamic object-aware visual SLAM algorithm for dynamic indoor environments, which leverages semantic segmentation and geometric information to enhance localization accuracy.
Article
Computer Science, Artificial Intelligence
Felipe D. B. de Oliveira, Marcondes R. da Silva Jr, Aluizio F. R. Araujo
Summary: This paper proposes a Spatio-temporal Data Association (STDA) method for object-augmented mapping, which can effectively fuse multiple views of multiple objects, with competitive results. Additionally, object location ground truth annotations were generated for comparison and object fetching task was conducted using the annotated map.
JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS
(2021)
Review
Environmental Sciences
Yao Zhang, Yiquan Wu, Kang Tong, Huixian Chen, Yubin Yuan
Summary: Due to the limitations of LiDAR, visual sensors with lightweight and low cost have gained more attention and become a research hotspot for visual simultaneous localization and mapping (VSLAM). This paper reviews VSLAM methods based on deep learning, discussing the integration of deep learning and VSLAM in visual odometry, loop closure detection, and mapping. The contribution and weakness of each algorithm are analyzed, and widely used datasets and evaluation metrics are provided.
Article
Chemistry, Multidisciplinary
Monica Macri, Giuseppe D'Albis, Vincenzo D'Albis, Simona Timeo, Felice Festa
Summary: Using augmented reality technology, three-dimensional computer-generated radiological information can assist oral surgeons in pre-orthodontic treatment for impacted teeth. This technology provides accurate model tracking and surgical information, significantly impacting the accuracy and success rate of surgeries.
APPLIED SCIENCES-BASEL
(2023)
Article
Computer Science, Hardware & Architecture
Taemin Lee, Changhun Jung, Kyungtaek Lee, Sanghyun Seo
Summary: The system uses camera tracking, object recognition, and positioning to enable viewing of virtual visual information in the real world.
JOURNAL OF SUPERCOMPUTING
(2022)
Article
Multidisciplinary Sciences
Ophir Netzer, Benedetta Heimler, Amir Shur, Tomer Behor, Amir Amedi
Summary: Research shows that it is possible to successfully extend and augment human perceptions through sensory substitution algorithms, even for the invisible backward spatial field. Blindfolded sighted adults can use Topo-Speech to locate objects' positions effectively, with comparable performance in both forward and backward conditions.
SCIENTIFIC REPORTS
(2021)
Article
Computer Science, Information Systems
Mei-Ting Su, Mei-Ling Chiang, Chia-Hsuan Tsai, Chi-Wei Lin, Rong-Xuan Liu, Yong-Ting Juang, Hsin-Hao Chen
Summary: Acupressure is a noninvasive method in traditional Chinese medicine that offers various health benefits. This paper presents a multifunctional acupoint application system that provides real-time visualization of acupoints for self-acupressure and offers health care, education, and entertainment through acupressure. The system uses acupoint localization, real-time image recognition, and augmented reality to locate and mark acupoints, and it has been proven to be accurate and effective in locating and marking acupoints.
MULTIMEDIA SYSTEMS
(2023)
Article
Construction & Building Technology
Jumyung Um, Joung Min Park, Seo Yeon Park, Gokcen Yilmaz
Summary: This paper introduces a low-cost mobile augmented reality service prototype, which demonstrates its usability for pipe maintenance by supporting inspection, workflow management, data reduction, and augmented reality. User feedback from organizations in the UK and South Korea also indicates that integrating the augmented reality service with building automation tools enhances decision-making for onsite operations. The paper highlights the need for developing low-cost digital solutions to foster the digitalization of construction organizations with limited budgets.
AUTOMATION IN CONSTRUCTION
(2023)
Article
Computer Science, Interdisciplinary Applications
M. Eswaran, M. V. A. Raju Bahubalendruni
Summary: This article explores the potential and applications of augmented reality in an industrial production environment. By comparing different guidance modes and visualization devices, the study found that object mapping-based augmented reality has a positive impact on improving assembly task efficiency and reducing errors. Head-mounted visualization devices offer a more realistic experience, leading to fewer errors and shorter completion time.
COMPUTERS & INDUSTRIAL ENGINEERING
(2023)
Article
Geochemistry & Geophysics
Jie Qian, Kaiqi Chen, Qinying Chen, Yanhong Yang, Jianhua Zhang, Shengyong Chen
Summary: A robust SLAM system is proposed to combine vision sensor and LIDAR data in order to achieve precise localization and mapping for UAVs, through extracting stable point cloud features and computing relative pose between consecutive frames.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
(2022)
Review
Computer Science, Information Systems
Gheorghe-Daniel Voinea, Florin Girbacia, Mihai Duguleana, Razvan Gabriel Boboc, Carmen Gheorghe
Summary: This paper provides an overview of the emerging trends in industrial augmented reality (IAR) over the past five years through a comprehensive literature review. Ten trending topics of AR application are identified, including Industry 4.0, artificial intelligence, smart manufacturing, and others. The paper discusses each topic in detail, offering insights into existing applications and research trends for each application field.
Article
Chemistry, Analytical
Jehn-Ruey Jiang, Hanas Subakti
Summary: This paper proposes an indoor location-based augmented reality framework (ILARF) for the development of indoor AR systems. ILARF integrates an indoor localization unit, a secure context-aware message exchange unit, and an AR visualization and interaction unit. The ILARF prototype app, GAR, helps gym users locate equipment, provides usage instructions, and enables socialization. It outperforms other AR systems by offering more information and desirable properties such as secure communication and a 3D graphical user interface.
Article
Computer Science, Software Engineering
Lewis Baker, Jonathan Ventura, Tobias Langlotz, Shazia Gul, Steven Mills, Stefanie Zollmann
Summary: In augmented reality applications, knowing the user's position and orientation is crucial. However, existing methods for visual tracking through SLAM have limitations in global localization and reconstruction for stationary applications. In this paper, we propose an extended approach for spherical localization and tracking, addressing relocalization after tracking failure, global localization in large shared environments, and optimization for mobile hardware. Our system is evaluated with state-of-the-art localization methods and demonstrates effectiveness in real-life scenarios.
