The 25th International Conference on 3D Web Technology 2020
DOI: 10.1145/3424616.3424691
|View full text |Cite
|
Sign up to set email alerts
|

Creating IoT-ready XR-WebApps with Unity3D

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1

Citation Types

0
3
0

Year Published

2021
2021
2023
2023

Publication Types

Select...
3
2
1

Relationship

0
6

Authors

Journals

citations
Cited by 6 publications
(3 citation statements)
references
References 30 publications
0
3
0
Order By: Relevance
“…In recent years, there has been a growing interest in localization and positioning technologies. Researchers and practitioners have proposed various technologies, such as using UWB [5,6], augmented reality (AR) [7,8], and wireless IoT through cross-platform development engine [9,10], to address the challenges of indoor localization. This paper reviews the most recent popular localization technologies, as well as localization within UWB technology, which address the challenges of indoor localization and navigation.…”
Section: Literature Reviewmentioning
confidence: 99%
“…In recent years, there has been a growing interest in localization and positioning technologies. Researchers and practitioners have proposed various technologies, such as using UWB [5,6], augmented reality (AR) [7,8], and wireless IoT through cross-platform development engine [9,10], to address the challenges of indoor localization. This paper reviews the most recent popular localization technologies, as well as localization within UWB technology, which address the challenges of indoor localization and navigation.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Unity3D was used in [43] to create a web application in mixed reality. The authors concluded that using web languages (HTML, CSS, and JavaScript) lowered the bar for content creators.…”
Section: Web-based Cultural Heritage Applicationsmentioning
confidence: 99%
“…Simulation through extended reality is gaining more and more attention in manifold domains requiring computer vision like robotic manufacturing [16][17][18], the automotive industry [19,20], video games [21], fitting rooms [22], mulsemedia setups [23], and IoTready WebApps [24], among others. In fact, by creating virtual environments, synthetic training datasets can be generated in a controllable and customizable manner for further solving common computer vision tasks and avoiding the challenges of collecting and annotating data in the real world [25,26].…”
Section: Related Workmentioning
confidence: 99%