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Selection of Filtration Methods in the Analysis of Motion of Automated Guided Vehicle
- Source :
- Measurement Science Review, Vol 16, Iss 4, Pp 183-189 (2016)
- Publication Year :
- 2016
- Publisher :
- Walter de Gruyter GmbH, 2016.
-
Abstract
- In this article the issues related to mapping the route and error correction in automated guided vehicle (AGV) movement have been discussed. The nature and size of disruption have been determined using the registered runs in experimental studies. On the basis of the analysis a number of numerical runs have been generated, which mapped possible to obtain runs in a real movement of the vehicle. The obtained data set has been used for further research. The aim of this paper was to test the selected methods of digital filtering on the same data set and determine their effectiveness. The results of simulation studies have been presented in the article. The effectiveness of various methods has been determined and on this basis the conclusions have been drawn.
- Subjects :
- 0209 industrial biotechnology
Spline filter
spline filter
Computer science
Gaussian regression filter
Biomedical Engineering
Automated guided vehicle
02 engineering and technology
Motion (physics)
law.invention
020901 industrial engineering & automation
automated guided vehicle
Odometry
law
position error
0202 electrical engineering, electronic engineering, information engineering
Position error
Computer vision
Instrumentation
Selection (genetic algorithm)
Filtration
business.industry
lcsh:Mathematics
Control engineering
lcsh:QA1-939
odometry
Control and Systems Engineering
020201 artificial intelligence & image processing
Artificial intelligence
business
Subjects
Details
- ISSN :
- 13358871
- Volume :
- 16
- Database :
- OpenAIRE
- Journal :
- Measurement Science Review
- Accession number :
- edsair.doi.dedup.....ae0adb70e3d4261ca097beb18f291bc5
- Full Text :
- https://doi.org/10.1515/msr-2016-0022