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Dietrich, André; Kaiser, Jörg; Zug, Sebastian; Potluri, Sasanka
Application Driven Environment Representation (Inproceeding)
The Seventh International Conference on Mobile Ubiquitous Computing, Systems, Services and Technologies, 2013.
(Abstract | BibTeX | Tags: Environement Representation, Robotic, Smart Sensing)
@inproceedings{UBICOMM2,
title = {Application Driven Environment Representation},
author = {André Dietrich and Jörg Kaiser and Sebastian Zug and Sasanka Potluri},
year = {2013},
date = {2013-10-03},
booktitle = {The Seventh International Conference on Mobile Ubiquitous Computing, Systems, Services and Technologies},
abstract = {Autonomous systems have to sustain in environments of growing complexity and under dynamically changing conditions, whereby also the number and the complexity of tasks increases that these systems have to fulfill. To cope with these emerging problems, we present a general concept of constructing environment models. From these models we can derive any kind of information in an application specific abstraction, which we call views. Furthermore, we describe the main problem in the generation of views as well as a possible solution to this.},
keywords = {Environement Representation, Robotic, Smart Sensing}
}
Autonomous systems have to sustain in environments of growing complexity and under dynamically changing conditions, whereby also the number and the complexity of tasks increases that these systems have to fulfill. To cope with these emerging problems, we present a general concept of constructing environment models. From these models we can derive any kind of information in an application specific abstraction, which we call views. Furthermore, we describe the main problem in the generation of views as well as a possible solution to this.
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Zug, Sebastian; Dietrich, André
Examination of Fusion Result Feedback for Fault-Tolerant and Distributed Sensor Systems (Inproceeding)
IEEE International Workshop on Robotic and Sensors Environments (ROSE 2010), Phoenix, AZ, USA, 2010.
(Abstract | BibTeX | Tags: Distributed Applicaton, Programming Abstraction, Smart Sensing)
@inproceedings{EOS-2010.000-ZD,
title = {Examination of Fusion Result Feedback for Fault-Tolerant and Distributed Sensor Systems},
author = {Sebastian Zug and André Dietrich},
year = {2010},
date = {2010-01-01},
booktitle = {IEEE International Workshop on Robotic and Sensors Environments (ROSE 2010)},
address = {Phoenix, AZ, USA},
abstract = {Future distributed applications will combine mobile and stationary sensor actuator entities as part of smart environments. Hence, a various number of intelligent sensor systems and sensor types will be available for mobile robots. We designed a programming abstraction – the Smart Abstract Entity – to deal with the diversity of data formats, measurement units, individual uncertainties, etc., in such applications. One focus of this approach was fault-tolerance in a hybrid manner. We combined centralized and decentralized mechanisms in our core concept. In this paper we discuss one aspect of the fault-tolerance concept – the feedback transmission of available fusion results to the sensor nodes, for a verification of its current state. We use a mobile robot scenario to examine the impact of this feedback approach for the position estimation and discuss parameters as well as methods for refinement.},
keywords = {Distributed Applicaton, Programming Abstraction, Smart Sensing}
}
Future distributed applications will combine mobile and stationary sensor actuator entities as part of smart environments. Hence, a various number of intelligent sensor systems and sensor types will be available for mobile robots. We designed a programming abstraction – the Smart Abstract Entity – to deal with the diversity of data formats, measurement units, individual uncertainties, etc., in such applications. One focus of this approach was fault-tolerance in a hybrid manner. We combined centralized and decentralized mechanisms in our core concept. In this paper we discuss one aspect of the fault-tolerance concept – the feedback transmission of available fusion results to the sensor nodes, for a verification of its current state. We use a mobile robot scenario to examine the impact of this feedback approach for the position estimation and discuss parameters as well as methods for refinement.
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