Semantically enriched spatial modelling of industrial indoor environments enabling location-based services

Arne Wendt; Michael Brand; Thorsten Schüppstuhl

doi:10.1007/978-3-662-56714-2_13

Semantically enriched spatial modelling of industrial indoor environments enabling location-based services

Robotics 2021-12-23 v1

Authors: Arne Wendt , Michael Brand , Thorsten Schüppstuhl

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Abstract

This paper presents a concept for a software system called RAIL representing industrial indoor environments in a dynamic spatial model, aimed at easing development and provision of location-based services. RAIL integrates data from different sensor modalities and additional contextual information through a unified interface. Approaches to environmental modelling from other domains are reviewed and analyzed for their suitability regarding the requirements for our target domains; intralogistics and production. Subsequently a novel way of modelling data representing indoor space, and an architecture for the software system are proposed.

Keywords

industrial indoor environments spatial modelling location-based services RAIL sensor data integration intralogistics software architecture

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@article{arxiv.2112.11856,
  title  = {Semantically enriched spatial modelling of industrial indoor environments enabling location-based services},
  author = {Arne Wendt and Michael Brand and Thorsten Schüppstuhl},
  journal= {arXiv preprint arXiv:2112.11856},
  year   = {2021}
}

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3. Kongresses Montage Handhabung Industrieroboter MHI

Semantically enriched spatial modelling of industrial indoor environments enabling location-based services

Abstract

Keywords

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