A4 Vertaisarvioitu artikkeli konferenssijulkaisussa

Tree Detection around Forest Harvester Based on Onboard LiDAR Measurements




TekijätSihvo Satu, Virjonen Petra, Nevalainen Paavo, Heikkonen Jukka

ToimittajaRandall Bilof

Konferenssin vakiintunut nimiBaltic Geodetic Congress, Geomatics

KustantajaInstitute of Electrical and Electronics Engineers Inc.

Julkaisuvuosi2018

Kokoomateoksen nimi2018 Baltic Geodetic Congress (BGC-Geomatics 2018), 21-23 June 2018, Olsztyn, Poland. Proceedings

Tietokannassa oleva lehden nimiProceedings - 2018 Baltic Geodetic Congress, BGC-Geomatics 2018

Aloitussivu364

Lopetussivu367

ISBN978-1-5386-4899-5

eISBN978-1-5386-4898-8

DOIhttps://doi.org/10.1109/BGC-Geomatics.2018.00075

Rinnakkaistallenteen osoitehttps://research.utu.fi/converis/portal/detail/Publication/36117515


Tiivistelmä

This paper proposes a new approach for the detection of tree locations around forest machines producing a situational model based on on-site terrestrial LiDAR data collected during harvesting operation. A triangularized ground model is used to planarize the point cloud in order to simplify the tree detection. The planarized ground makes the vertical cutting of the point cloud systematical. Tree stem lines detected from individual trees at individual scan views are used to guide the final alignment into global coordinates. The setup is numerically efficient and does not rely on any positioning and orientation system (POS) based e.g. on an inertial measurement unit (IMU) or global navigation satellite system (GNSS) or wheel rotation counter on the autonomous vehicle.


Ladattava julkaisu

This is an electronic reprint of the original article.
This reprint may differ from the original in pagination and typographic detail. Please cite the original version.





Last updated on 2024-26-11 at 12:01