Reference : Context-based Selection and Execution of Robot Perception Graphs
Scientific congresses, symposiums and conference proceedings : Paper published in a book
Engineering, computing & technology : Computer science
http://hdl.handle.net/10993/22384
Context-based Selection and Execution of Robot Perception Graphs
English
Hochgeschwender, Nico [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC)]
Olivares Mendez, Miguel Angel [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Voos, Holger mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit > ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)]
Kraetzschmar, Gerhard K. []
Sep-2015
20th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA'15)
Yes
No
International
20th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA'15)
from 8-09-2015 to 11-09-2015
[en] knowledge representation ; computer vision ; illumination invariant
[en] To perform a wide range of tasks service robots
need to robustly extract knowledge about the world from the
data perceived through the robot’s sensors even in the presence
of varying context-conditions. This makes the design and devel-
opment of robot perception architectures a challenging exercise.
In this paper we propose a robot perception architecture which
enables to select and execute at runtime different perception
graphs based on monitored context changes. To achieve this
the architecture is structured as a feedback loop and contains
a repository of different perception graph configurations suitable
for various context conditions.
Researchers ; Professionals ; Students
http://hdl.handle.net/10993/22384

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