DocumentCode :
2581809
Title :
In-cabin localization solution for optimizing manufacturing an d maintenance proces ses for civil aircrafts
Author :
Lewandowski, Andreas ; Michaelis, S. ; Wietfeld, Christian ; Klaue, J. ; Kubisch, M.
Author_Institution :
Commun. Networks Inst. (CNI), Tech. Univ. Dortmund, Dortmund, Germany
fYear :
2012
fDate :
23-26 April 2012
Firstpage :
1257
Lastpage :
1264
Abstract :
This indoor localization solution enables optimization of manufacturing and maintenance processes of civil aircrafts. The use cases include localization of fixed entities like life vests, passenger service units, and seats and mobile entities like flight attendance panels and devices of maintenance workers. Following these use cases, the solution approach features the combination of fingerprinting approaches using Support Vector Machines and distance-based approaches like Trilateration and Weighted Centroid. The proposal has been intensively studied in an Airbus A340 cabin mock-up model by measurement campaigns with a real system deployment.
Keywords :
aircraft maintenance; aircraft manufacture; support vector machines; Airbus A340 cabin mock-up model; civil aircrafts; distance-based approaches; fingerprinting approaches; flight attendance panels; in-cabin localization solution; indoor localization solution; life vests; maintenance processes; maintenance workers; manufacturing processes; mobile entities; passenger service units; seats; support vector machines; trilateration; weighted centroid; Aircraft; Weight measurement; Data Mining; Fingerprinting; Indoor Localization; Weighted Centroid;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Position Location and Navigation Symposium (PLANS), 2012 IEEE/ION
Conference_Location :
Myrtle Beach, SC
ISSN :
2153-358X
Print_ISBN :
978-1-4673-0385-9
Type :
conf
DOI :
10.1109/PLANS.2012.6236982
Filename :
6236982
Link To Document :
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