Evaluation of Mixed Reality Support for Bridge Inspectors Using BIM Data

Author:

Riedlinger Urs1ORCID,Klein Florian2,Hill Marcos3,Lambracht Christian4,Nieborowski Sonja5,Holst Ralph5,Bahlau Sascha3,Oppermann Leif1

Affiliation:

1. 28426 Fraunhofer-Institut für Angewandte Informationstechnik FIT , Sankt Augustin , Germany

2. HHVISION , Cologne , Germany

3. intecplan , Essen , Germany

4. 52782 Bochum University of Applied Sciences , Bochum , Germany

5. 54196 Federal Highway Research Institute , Bergisch Gladbach , Germany

Abstract

Abstract Bridge inspectors work for the safety of our infrastructure and mobility. In regular intervals, they conduct structural inspections – a manual task with a long-lasting and firmly normed analogue tradition. In our collaborative research project, we developed Mixed Reality (MR) and Virtual Reality (VR) prototypes to support that work digitally. We propose a mixed analogue and digital workflow using Building Information Modeling (BIM) data that can be ready-to-hand for bridge inspectors during their work on-site at a bridge. In this paper, we describe the system and the evaluation results of our final MR demonstrator at a autobahn-bridge in Germany. We identified a need for a digital MR tool to support the bridge inspection in-situ. In general, this matches with the trend to bring the computer-supported office-work out into the real world. However, there are also challenges to consider, like lacking BIM data for existing bridges and structures, appropriate user-interfaces in this new application domain, or the need to adopt norms and guidelines for public tender. We argue to consider a user-centered design approach for future developments to best profit from the bridge inspectors’, as well as the MR- and CSCW-researchers expertise, and ultimately increase the acceptance of the developed information systems.

Publisher

Walter de Gruyter GmbH

Subject

Computer Networks and Communications,Human-Computer Interaction,Communication,Business, Management and Accounting (miscellaneous),Information Systems,Social Psychology

Reference36 articles.

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3