An ARCore-Based Augmented Reality Campus Navigation System [PDF]
Applied Sciences (Switzerland), 2021 Currently, the route planning functions in 2D/3D campus navigation systems in the market are unable to process indoor and outdoor localization information simultaneously, and the UI experiences are not optimal because they are limited by the service ...
Lingling Guo, Jingjing Chen, Fangfang Lu
exaly +6 more sources
Developing the Next Generation of Augmented Reality Games for Pediatric Healthcare: An Open-Source Collaborative Framework Based on ARCore for Implementing Teaching, Training and Monitoring Applications [PDF]
Sensors, 2021 Augmented Reality (AR) provides an alternative to the traditional forms of interaction between humans and machines, and facilitates the access to certain technologies to groups of people with special needs like children.
Aida Vidal-Balea, Oscar Blanco-Novoa
exaly +5 more sources
The Use of ARCore Technology for Online Control Simulations [PDF]
Annals of computer science and information systems, 2020 The paper describes an educational mobile application that controls the 3D model of towercopter using augmented reality for smartphones. It is developed using the ARCore technology that allows insertion of 3D objects into a real space via smartphone or ...
Jakub Matišák +2 more
doaj +4 more sources
An ARCore Based User Centric Assistive Navigation System for Visually Impaired People
Applied Sciences (Switzerland), 2019 In this work, we propose an assistive navigation system for visually impaired people (ANSVIP) that takes advantage of ARCore to acquire robust computer vision-based localization.
Xiaochen Zhang, Xiaoyu Yao
exaly +4 more sources
A Benchmark Comparison of Four Off-the-Shelf Proprietary Visual–Inertial Odometry Systems [PDF]
Sensors, 2022 Commercial visual–inertial odometry (VIO) systems have been gaining attention as cost-effective, off-the-shelf, six-degree-of-freedom (6-DoF) ego-motion-tracking sensors for estimating accurate and consistent camera pose data, in addition to their ...
Pyojin Kim +5 more
doaj +2 more sources
Efficient and Scalable Object Localization in 3D on Mobile Device [PDF]
Journal of Imaging, 2022 Two-Dimensional (2D) object detection has been an intensely discussed and researched field of computer vision. With numerous advancements made in the field over the years, we still need to identify a robust approach to efficiently conduct classification ...
Neetika Gupta, Naimul Mefraz Khan
doaj +2 more sources
INTEGRATION OF DEPTH MAPS FROM ARCORE TO PROCESS POINT CLOUDS IN REAL TIME ON A SMARTPHONE [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2022 Real-world three-dimensional reconstruction is a project of long-standing interest in global computer vision. Many tools have emerged these past years to accurately perceive the surrounding world either through active sensors or through passive ...
R. Haenel +5 more
doaj +2 more sources
Automatic Tree Height Measurement Based on Three-Dimensional Reconstruction Using Smartphone [PDF]
Sensors, 2023 Tree height is a crucial structural parameter in forest inventory as it provides a basis for evaluating stock volume and growth status. In recent years, close-range photogrammetry based on smartphone has attracted attention from researchers due to its ...
Yulin Shen +5 more
doaj +2 more sources
GEUINF: Real-Time Visualization of Indoor Facilities Using Mixed Reality [PDF]
Sensors, 2021 Mixed reality (MR) enables a novel way to visualize virtual objects on real scenarios considering physical constraints. This technology arises with other significant advances in the field of sensors fusion for human-centric 3D capturing.
David Jurado +3 more
doaj +2 more sources
FILNet: Fast Image-Based Indoor Localization Using an Anchor Control Network [PDF]
Sensors, 2023 This paper designs a fast image-based indoor localization method based on an anchor control network (FILNet) to improve localization accuracy and shorten the duration of feature matching. Particularly, two stages are developed for the proposed algorithm.
Sikang Liu +4 more
doaj +2 more sources