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Gold-fish SLAM :
Gold-fish SLAM : an application of SLAM to localize AGVs
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- Andreasson, Henrik, 1977- (author)
- Örebro universitet,Akademin för naturvetenskap och teknik,Learning Systems Lab, AASS
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- Bouguerra, Abdelbaki, 1974- (author)
- Örebro universitet,Akademin för naturvetenskap och teknik
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Åstrand, Björn (author)
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- Rögnvaldsson, Thorsteinn, 1963- (author)
- Örebro universitet,Akademin för naturvetenskap och teknik
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(creator_code:org_t)
- 2012
- 2012
- English.
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In: Proceedings of the International Conference on Field and Service Robotics (FSR), July 2012..
- Related links:
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https://urn.kb.se/re...
Abstract
Subject headings
Close
- The main focus of this paper is to present a case study of a SLAM solution for Automated Guided Vehicles (AGVs) operating in real-world industrial environ- ments. The studied solution, called Gold-fish SLAM, was implemented to provide localization estimates in dynamic industrial environments, where there are static landmarks that are only rarely perceived by the AGVs. The main idea of Gold-fish SLAM is to consider the goods that enter and leave the environment as temporary landmarks that can be used in combination with the rarely seen static landmarks to compute online estimates of AGV poses. The solution is tested and verified in a factory of paper using an eight ton diesel-truck retrofitted with an AGV control sys- tem running at speeds up to 3 meters per second. The paper includes also a general discussion on how SLAM can be used in industrial applications with AGVs.
Subject headings
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Sciences (hsv//eng)
Keyword
- Mobile robotics
- AGV localization
- Datalogi
- Computer and Systems Science
- Computer Science
- Datavetenskap
Publication and Content Type
- vet (subject category)
- kon (subject category)
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