%0 Conference Proceedings
%T Classification of Optical Technologies for the Mapping of Production Environments
%+ Reutlingen University
%+ Stellenbosch University
%A Greger, Marius
%A Palm, Daniel
%A Louw, Louis
%A Leipzig, Konrad, Von
%Z Part 3: Sustainability and Reconfigurability of Manufacturing Systems
%< avec comité de lecture
%( IFIP Advances in Information and Communication Technology
%B IFIP International Conference on Advances in Production Management Systems (APMS)
%C Austin, TX, United States
%Y Farhad Ameri
%Y Kathryn E. Stecke
%Y Gregor von Cieminski
%Y Dimitris Kiritsis
%I Springer International Publishing
%3 Advances in Production Management Systems. Production Management for the Factory of the Future
%V AICT-566
%N Part I
%P 197-205
%8 2019-09-01
%D 2019
%R 10.1007/978-3-030-30000-5_26
%K Cameras
%K Optical Indoor Localization Systems
%K Marker-based Tracking
%K changeable and reconfigurable manufacturing
%Z Computer Science [cs]Conference papers
%X Indoor localization systems are becoming more and more important with the digitalization of the industrial sector. Sensor data such as the current position of machines, transport vehicles, goods or tools represent an essential component of cyber-physical production systems (CCPS). However, due to the high costs of these sensors, they are not widespread and are used mainly in special scenarios. However, especially optical indoor positioning systems (OIPS) based on cameras have certain advantages due to their technological specifications. In this paper, the application scenarios and requirements as well as their characteristics are presented and a classification approach of OIPS is introduced.
%G English
%Z TC 5
%Z WG 5.7
%2 https://inria.hal.science/hal-02458391/document
%2 https://inria.hal.science/hal-02458391/file/489100_1_En_26_Chapter.pdf
%L hal-02458391
%U https://inria.hal.science/hal-02458391
%~ IFIP
%~ IFIP-AICT
%~ IFIP-TC
%~ IFIP-TC5
%~ IFIP-WG
%~ IFIP-APMS
%~ IFIP-WG5-7
%~ IFIP-AICT-566