enhanced algorithms for estimating tree trunk diameter using 2d laser scanner

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ID: 164815
2013
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Abstract
Accurate vehicle localization in forest environments is still an unresolved problem. Global navigation satellite systems (GNSS) have well known limitations in dense forest, and have to be combined with for instance laser based SLAM algorithms to provide satisfying accuracy. Such algorithms typically require accurate detection of trees, and estimation of tree center locations in laser data. Both these operations depend on accurate estimations of tree trunk diameter. Diameter estimations are important also for several other forestry automation and remote sensing applications. This paper evaluates several existing algorithms for diameter estimation using 2D laser scanner data. Enhanced algorithms, compensating for beam width and using multiple scans, were also developed and evaluated. The best existing algorithms overestimated tree trunk diameter by ca. 40%. Our enhanced algorithms, compensating for laser beam width, reduced this error to less than 12%.
Reference Key
ringdahl2013remoteenhanced Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Ola Ringdahl;Peter Hohnloser;Thomas Hellström;Johan Holmgren;Ola Lindroos
Journal Journal of pharmacological sciences
Year 2013
DOI
10.3390/rs5104839
URL
http://www.mdpi.com/2072-4292/5/10/4839
Keywords
forestry terrestrial laser scanning

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