Unsupervised Movement Detection in Indoor Positioning Systems of Production Halls

dc.contributor.authorFlossdorf, Jonathan
dc.contributor.authorMeyer, Anne
dc.contributor.authorArtjuch, Dmitri
dc.contributor.authorSchneider, Jaques
dc.contributor.authorJentsch, Carsten
dc.date.accessioned2025-12-11T18:35:47Z
dc.date.available2025-12-11T18:35:47Z
dc.date.issued2025
dc.description.abstractConsider indoor positioning systems (IPS) in production halls where objects equipped with sensors send their current position. Beside its large volume, the analyzation of the resulting raw data is challenging due to the susceptibility towards noise. Reasons are accuracy issues and undesired awakenings of sensors that occur due to the dynamics of logistic processes (e.g. vibrations of passing forklifts). We propose a tailor-made statistical procedure for these challenges and combine visual analytics with movement detection. Contrary to common stay-point algorithms, we do not only distinguish between stops and moves, but also consider undesired awakenings. This leads to a more detailed interpretation scheme offering usages for online (e.g. monitoring of orders) and offline applications (e.g. detection of problematic areas). The approach does not require other information than the raw IPS output and enables an ad-hoc analysis. We underline our findings in an extensive case study with real IPS data of our industry partner.en
dc.identifier.urihttp://hdl.handle.net/2003/44074
dc.identifier.urihttp://dx.doi.org/10.17877/DE290R-25841
dc.language.isoen
dc.relation.ispartofseriesTRR 391 Working Paper; 9
dc.rights.urihttps://creativecommons.org/licenses/by-sa/4.0/
dc.subject.ddc310
dc.titleUnsupervised Movement Detection in Indoor Positioning Systems of Production Hallsen
dc.typeText
dc.type.publicationtypeWorkingPaper
dcterms.accessRightsopen access
eldorado.dnb.deposittrue
eldorado.secondarypublicationfalse

Files

Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
TRR_WP-9.pdf
Size:
3.7 MB
Format:
Adobe Portable Document Format
Description:
DNB
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
4.82 KB
Format:
Item-specific license agreed upon to submission
Description: