<div class="csl-bib-body">
<div class="csl-entry">Paris, R., Melik-Merkumians, M., & Schitter, G. (2016). Probabilistic Absolute Position Sensor Based on Objective Laser Speckles. <i>IEEE Transactions on Instrumentation and Measurement</i>, <i>65</i>(5), 1188–1196. https://doi.org/10.1109/tim.2016.2526741</div>
</div>
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dc.identifier.issn
0018-9456
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/148957
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dc.description.abstract
This paper presents a vision-based probabilistic
absolute position sensor, which is able to operate on spacious
technical surfaces without the modification of the surface. Instead
of using artificial surface markings, the surface structure itself
is used to generate objective laser speckle patterns (OLSPs),
which are observable on most technical surfaces. This allows the
extraction of features on surfaces, which might be too smooth for
image processing under white light observation. In addition, the
uniqueness of the individually observed laser speckle patterns
enables a determination of the absolute position even after a
sudden power loss of the sensor system. Experiments confirm the
applicability of such OLSPs within a feature-based probabilistic
framework on a smooth stainless steel rod and compare the
results to images taken under white light illumination. The
proposed sensor system successfully recovers from unknown
initial states and measures the position with a peak-to-peak error
of 22.1 μm and an rms error of 5.6 μm over a measurement range
of 100 mm.
en
dc.language.iso
en
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dc.publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
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dc.relation.ispartof
IEEE Transactions on Instrumentation and Measurement
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dc.subject
Electrical and Electronic Engineering
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dc.subject
Instrumentation
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dc.subject
sensor systems
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dc.subject
Optical position measurement
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dc.subject
particle filters (PFs)
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dc.subject
position measurement
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dc.subject
speckle.
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dc.title
Probabilistic Absolute Position Sensor Based on Objective Laser Speckles
en
dc.type
Artikel
de
dc.type
Article
en
dc.description.startpage
1188
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dc.description.endpage
1196
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dc.type.category
Original Research Article
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tuw.container.volume
65
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tuw.container.issue
5
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tuw.journal.peerreviewed
true
-
tuw.peerreviewed
true
-
tuw.researchTopic.id
I8
-
tuw.researchTopic.id
C4
-
tuw.researchTopic.name
Sensor Systems
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tuw.researchTopic.name
Mathematical and Algorithmic Foundations
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tuw.researchTopic.value
50
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tuw.researchTopic.value
50
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dcterms.isPartOf.title
IEEE Transactions on Instrumentation and Measurement