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증강현실 어플리케이션에서의 다변측정법 기반 태그 상대 측위 기술
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.advisor | 고영배 | - |
| dc.contributor.author | 최홍범 | - |
| dc.date.accessioned | 2022-11-29T02:32:10Z | - |
| dc.date.available | 2022-11-29T02:32:10Z | - |
| dc.date.issued | 2020-02 | - |
| dc.identifier.other | 29626 | - |
| dc.identifier.uri | https://dspace.ajou.ac.kr/handle/2018.oak/19675 | - |
| dc.description | 학위논문(석사)--아주대학교 일반대학원 :컴퓨터공학과,2020. 2 | - |
| dc.description.tableofcontents | 1. Introduction 8 2. Background 11 2.1 Position Estimation 11 2.2 UWB Technology 12 2.3 Augmented Reality and vSLAM 14 3.Related Work 17 4. Analysis of Localization with Virtual Anchor 20 5. Proposed VA Selection Algorithm 24 6. Performance evaluation 27 7. Conclusion 30 References 31 요약 35 | - |
| dc.language.iso | eng | - |
| dc.publisher | The Graduate School, Ajou University | - |
| dc.rights | 아주대학교 논문은 저작권에 의해 보호받습니다. | - |
| dc.title | 증강현실 어플리케이션에서의 다변측정법 기반 태그 상대 측위 기술 | - |
| dc.title.alternative | HongBeom Choi | - |
| dc.type | Thesis | - |
| dc.contributor.affiliation | 아주대학교 일반대학원 | - |
| dc.contributor.alternativeName | HongBeom Choi | - |
| dc.contributor.department | 일반대학원 컴퓨터공학과 | - |
| dc.date.awarded | 2020. 2 | - |
| dc.description.degree | Master | - |
| dc.identifier.localId | 1138789 | - |
| dc.identifier.uci | I804:41038-000000029626 | - |
| dc.identifier.url | http://dcoll.ajou.ac.kr:9080/dcollection/common/orgView/000000029626 | - |
| dc.subject.keyword | AR | - |
| dc.subject.keyword | IoT | - |
| dc.subject.keyword | UWB | - |
| dc.subject.keyword | 무선측위 | - |
| dc.subject.keyword | 사물인터넷 | - |
| dc.subject.keyword | 상대측위 | - |
| dc.subject.keyword | 증강현실 | - |
| dc.subject.keyword | 초광대역통신 | - |
| dc.description.alternativeAbstract | In this work, we propose a sensor localization system assisted by wireless communication and augmented reality (AR) suitable for indoor localization. Future handheld and unattended devices will be equipped with technologies, which have the means to enable localization in indoor environments. These include visual odometry based on cameras and augmented reality, and communication hardware such as UWB. Integration of such technologies to exploit their advantages allows us to compensate for and negate each other’s errors in measurements. This in turn can improve the overall function of future services, such as visual representation of sensing information from sensors in areas that are not physically visible. However, existing work cannot fully exploit these technologies to high extent, often inducing more errors or wasted resources. In our proposed system, we specifically propose an improved method of utilizing virtual anchors for localization, which is based on a cluster-based selection algorithm that allows the system to improve the positioning accuracy through angular diversity while also improving resource utilization. Our work has been fully implemented and tested on several indoor environments, showing that it can outperform existing methods. | - |
- Appears in Collections:
- Graduate School of Ajou University > Department of Computer Engineering > 3. Theses(Master)
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