Temporal Object Tracking in Large-Scale Production Facilities using Bayesian Estimation Article Swipe
Karl-Philipp Kortmann
,
Johannes Zumsande
,
Mark Wielitzka
,
Tobias Ortmaier
·
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.1016/j.ifacol.2020.12.271
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.1016/j.ifacol.2020.12.271
Moving towards comprehensive digitalization of production facilities, it is critical to know the location of work pieces, charges, or other objects of interest that change location over time during production. For the case of a limited traceability of these objects, we first present a theoretical approach that performs a recursive Bayesian estimation of the object's location over time based on typical passage measurements in production (e. g. light barriers or RFID systems). The probabilistic method is based on a directed acyclic graph modeling the transfer and sojourn of the objects in the production network. Subsequently, the method is validated on simulated data while varying both size and measurement conditions of the process. The results show the benefit of the proposed method against a single estimation and demonstrate its potential for the application in real time scenarios.
Related Topics
Concepts
Computer science
Traceability
Object (grammar)
Probabilistic logic
Scale (ratio)
Production (economics)
Data mining
Bayesian probability
Process (computing)
Bayesian network
Estimation
Graph
Real-time computing
Artificial intelligence
Engineering
Theoretical computer science
Geography
Macroeconomics
Operating system
Cartography
Systems engineering
Economics
Software engineering
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1016/j.ifacol.2020.12.271
- OA Status
- diamond
- Cited By
- 1
- References
- 23
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3156446091
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3156446091Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1016/j.ifacol.2020.12.271Digital Object Identifier
- Title
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Temporal Object Tracking in Large-Scale Production Facilities using Bayesian EstimationWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2020Year of publication
- Publication date
-
2020-01-01Full publication date if available
- Authors
-
Karl-Philipp Kortmann, Johannes Zumsande, Mark Wielitzka, Tobias OrtmaierList of authors in order
- Landing page
-
https://doi.org/10.1016/j.ifacol.2020.12.271Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
-
diamondOpen access status per OpenAlex
- OA URL
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https://doi.org/10.1016/j.ifacol.2020.12.271Direct OA link when available
- Concepts
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Computer science, Traceability, Object (grammar), Probabilistic logic, Scale (ratio), Production (economics), Data mining, Bayesian probability, Process (computing), Bayesian network, Estimation, Graph, Real-time computing, Artificial intelligence, Engineering, Theoretical computer science, Geography, Macroeconomics, Operating system, Cartography, Systems engineering, Economics, Software engineeringTop concepts (fields/topics) attached by OpenAlex
- Cited by
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1Total citation count in OpenAlex
- Citations by year (recent)
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2023: 1Per-year citation counts (last 5 years)
- References (count)
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23Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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