Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Autonomous forest machines: Past present and future
Umeå University, Faculty of Science and Technology, Department of Computing Science.
Umeå University, Faculty of Science and Technology, Department of Computing Science.
2008 (English)Report (Other academic)
Abstract [en]

The feasibility of using autonomous forest vehicles (which can be regarded as logical developments in the ongoing automation of forest machines), the systems that could be applied in them, their potential advantages and their limitations (in the foreseeable future) are considered here. The aims were to analyse: (1) the factors influencing the degree of automation in logging; (2) the technical principles that can be applied to autonomous forest machines, and (3) the feasibility of developing an autonomous path-tracking forest vehicle. A class of such vehicles that are believed to have considerable commercial potential is autonomous wood shuttles (forwarders). The degree of automation is influenced by increased productivity, the machine operator as a bottle-neck, cost reduction, and environmental aspects. Technical principles that can be applied to autonomous forest vehicles are satellite navigation, laser odometry, wheel odometry, laser scanner and radar. The presented system has demonstrated both possibilities and difficulties associated with autonomous forest machines. It is in a field study shown that it is quite possible for them to learn and track a path previously demonstrated by an operator with an accuracy of 0.1m on flat ground. A new pathtracking algorithm has been developed to reduce deviations by utilizing the driver’s steering commands.

Place, publisher, year, edition, pages
Umeå: Institutionen för datavetenskap, Umeå universitet , 2008. , 17 p.
Series
Report / UMINF, ISSN 0348-0542 ; 08.06
Keyword [en]
Forest technology, obstacle detection, path-tracking, robotic, system architecture
National Category
Forest Science
Identifiers
URN: urn:nbn:se:umu:diva-1770OAI: oai:DiVA.org:umu-1770DiVA: diva2:141956
Available from: 2012-11-07 Created: 2008-06-23 Last updated: 2013-02-04Bibliographically approved

Open Access in DiVA

fulltext(681 kB)246 downloads
File information
File name FULLTEXT02.pdfFile size 681 kBChecksum SHA-512
08c13e019a04d1828f16bd7fa83d73c64d4c5bc9a1fa80c902caaa9f2167e9f8b0a3ad3d9824319412e13f9a21450229c5895e010a064ced05ee2678b061516a
Type fulltextMimetype application/pdf

Search in DiVA

By author/editor
Hellström, ThomasRingdahl, Ola
By organisation
Department of Computing Science
Forest Science

Search outside of DiVA

GoogleGoogle Scholar
Total: 246 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

urn-nbn

Altmetric score

urn-nbn
Total: 237 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf