Earticle

초록

영어

Recently, with the development of information and communication technology, efforts have been made to integrate BIM and augmented reality technology into maintenance. The augmented reality is worth to be introduced because it has advantages of visualization and interaction. In order to introduce augmented reality into the maintenance that most of the work takes place in the indoor environment, it is essential to track the exact position of the user. this study suggests a location tracking method for indoor environment using iBeacon technology and the PSO(Particle Swarm Optimization) algorithm for optimal location. The parameters required for the proposed PSO location confirmation algorithm are presented through various experiments and the accuracy is verified by applying it to the actual indoor space. The result shows that the smaller the measurement result space, the smaller the measurement error and the smaller the standard deviation. The iBeacon-based location tracking technology can be applied sufficiently to provide the necessary information at the location where the user is located, rather than the task of checking the accurate location of the maintenance work.

목차

Abstract
1. 서론
1.1 연구배경 및 목적
1.2 연구범위 및 방법
2. 기존 연구 고찰
2.1 증강현실 관련 연구
2.2 iBeacon 관련 연구
3. iBeacon 기반 위치 인식
3.1 기본 PSO 알고리듬
3.2 iBeacon 기반 위치 인식 PSO 알고리듬
3.3 iBeacon 기반 위치 인식
4. iBeacon 위치 인식 기반 증강현실 컨텐츠 구현
4.1 컨텐츠 구현 방향
4.2 컨텐츠 구현 결과
5. 결론
REFERENCES

키워드

비컨 위치인식 비마커기반 증강현실 유지관리 PSO iBeacon Localization Markerless Augmented Reality Maintenance Particle Swarm Optimization

저자

• 박우열 [ Park, U-Yeol | 안동대학교 건축공학과 교수, 공학박사 ] Corresponding Author

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