Navigation of Mobile Robots in Natural Environments: Using Sensor Fusion in Forestry

Navigation using GPS is a common strategy which cannot provide the desired accuracy in forests. In the forestry of North Rhine- Westphalia (Germany) algorithms are developed to delineate single trees from remote sensing data. These generated tree maps can be used to create a virtual testbed. Differe...

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Bibliographic Details
Main Authors: Jürgen Rossmann, Petra Krahwinkler, Christian Schlette
Format: Article
Language:English
Published: International Institute of Informatics and Cybernetics 2010-06-01
Series:Journal of Systemics, Cybernetics and Informatics
Subjects:
GPS
Online Access:http://www.iiisci.org/Journal/CV$/sci/pdfs/GT118XD.pdf
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spelling doaj-ccc975eda95b477cb4f5317fdbd3cfcf2020-11-24T20:53:53ZengInternational Institute of Informatics and CyberneticsJournal of Systemics, Cybernetics and Informatics1690-45242010-06-01836771Navigation of Mobile Robots in Natural Environments: Using Sensor Fusion in ForestryJürgen Rossmann0Petra Krahwinkler1Christian Schlette2 Institute of Man-Machine Interaction Institute of Man-Machine Interaction Institute of Man-Machine Interaction Navigation using GPS is a common strategy which cannot provide the desired accuracy in forests. In the forestry of North Rhine- Westphalia (Germany) algorithms are developed to delineate single trees from remote sensing data. These generated tree maps can be used to create a virtual testbed. Different kinds of sensor data can be merged to form a "visual GPS" system which improves accuracy for the navigation of autonomous vehicles in the forest. Algorithms were developed, which provide localization results accurate enough to allow navigation to a single tree.http://www.iiisci.org/Journal/CV$/sci/pdfs/GT118XD.pdf GPSmobile robotsSensor FusionForestParticle Filternavigation
collection DOAJ
language English
format Article
sources DOAJ
author Jürgen Rossmann
Petra Krahwinkler
Christian Schlette
spellingShingle Jürgen Rossmann
Petra Krahwinkler
Christian Schlette
Navigation of Mobile Robots in Natural Environments: Using Sensor Fusion in Forestry
Journal of Systemics, Cybernetics and Informatics
GPS
mobile robots
Sensor Fusion
Forest
Particle Filter
navigation
author_facet Jürgen Rossmann
Petra Krahwinkler
Christian Schlette
author_sort Jürgen Rossmann
title Navigation of Mobile Robots in Natural Environments: Using Sensor Fusion in Forestry
title_short Navigation of Mobile Robots in Natural Environments: Using Sensor Fusion in Forestry
title_full Navigation of Mobile Robots in Natural Environments: Using Sensor Fusion in Forestry
title_fullStr Navigation of Mobile Robots in Natural Environments: Using Sensor Fusion in Forestry
title_full_unstemmed Navigation of Mobile Robots in Natural Environments: Using Sensor Fusion in Forestry
title_sort navigation of mobile robots in natural environments: using sensor fusion in forestry
publisher International Institute of Informatics and Cybernetics
series Journal of Systemics, Cybernetics and Informatics
issn 1690-4524
publishDate 2010-06-01
description Navigation using GPS is a common strategy which cannot provide the desired accuracy in forests. In the forestry of North Rhine- Westphalia (Germany) algorithms are developed to delineate single trees from remote sensing data. These generated tree maps can be used to create a virtual testbed. Different kinds of sensor data can be merged to form a "visual GPS" system which improves accuracy for the navigation of autonomous vehicles in the forest. Algorithms were developed, which provide localization results accurate enough to allow navigation to a single tree.
topic GPS
mobile robots
Sensor Fusion
Forest
Particle Filter
navigation
url http://www.iiisci.org/Journal/CV$/sci/pdfs/GT118XD.pdf
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AT petrakrahwinkler navigationofmobilerobotsinnaturalenvironmentsusingsensorfusioninforestry
AT christianschlette navigationofmobilerobotsinnaturalenvironmentsusingsensorfusioninforestry
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