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Autonomous Forest Machines: Techniques and Algorithms for Unmanned Vehicles
Umeå University, Faculty of Science and Technology, Department of Computing Science.
Umeå University, Faculty of Science and Technology, Department of Computing Science.
2008 (English)Book (Other academic)
Abstract [en]

With continued development of forest machines the operators risk becoming a bottleneck, due to the ever increasing pace they have to work in. Different kind of aids for the operators will become necessary to lessen the workload. Development of autonomous forest machines aims at meeting this demand. This book describes an ongoing project of which the purpose is designing and developing techniques and algorithms for such a vehicle. The focus is on some of the components necessary to accomplish autonomous navigation, which involves sensing and moving safely along a user-defined path in a dynamic forest environment. A new path-tracking algorithm is introduced and demonstrated as superior to standard algorithms, such as Follow the Carrot and Pure Pursuit. Localization is accomplished by a neural network that fuses data from a GPS, a gyro, and wheel odometry. Results from successful field tests on a full-size forest machine with autonomous path tracking, including obstacle avoidance, are presented. The book will be of interest to students and researchers in the area of autonomous vehicles and artificial intelligence.

Place, publisher, year, edition, pages
VDM Verlag Dr. Müller Aktiengesellschaft & Co. KG, 2008. , 156 p.
National Category
Computer Science
Research subject
Computer and Information Science
Identifiers
URN: urn:nbn:se:umu:diva-19851ISBN: 978-3639043433 OAI: oai:DiVA.org:umu-19851DiVA: diva2:207527
Available from: 2009-03-11 Created: 2009-03-11 Last updated: 2015-03-18

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CiteExportLink to record
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Citation style
  • apa
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Language
  • de-DE
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Output format
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  • asciidoc
  • rtf