Open AccessSCAN DETACHED TREES USING 3D SENSE AND THEIR RECONSTRUCTION IN CAD
Author(s) -
Leonid Bukhtoyarov,
Ya. Beznosko,
I. Bazula
Publication year - 2020
Publication title -
aktualʹnye napravleniâ naučnyh issledovanij xxi veka: teoriâ i praktika
Language(s) - English
Resource type - Journals
ISSN - 2308-8877
DOI - 10.34220/2308-8877-2020-8-1-35-38
Subject(s) - tree (set theory) , point cloud , laser scanning , scanner , computer science , felling , process (computing) , pruning , automation , laser , task (project management) , point (geometry) , simulation , computer vision , artificial intelligence , optics , engineering , mechanical engineering , mathematics , environmental science , physics , agroforestry , mathematical analysis , agronomy , biology , operating system , geometry , systems engineering
Harvesters are state-of-the-art high-performance forestry machines that carry out a series of continuous operations, such as felling, pruning, and so on. During the alignment process of the harvester head to capture the trunk, the operator requires a large number of observations, judgments and multiple operations, which leads to loss of time and fuel. In order to increase operational efficiency and reduce operating costs, before cutting a tree, it is advisable to obtain a scan in the form of a point cloud. We suggest using a 3D Sense laser scanner for this, which is a non-contact measuring system.
The distance between the scanner and the tree is determined by the travel time of the laser light pulse: a pulsed laser beam is emitted and reflected if it encounters an object. Based on these measurements, it is possible to optimize tree felling and increase the automation of harvesters, which will lead to increased efficiency in the use of various resources However, the natural environment poses problems for any computer read task. This article presents the results of scanning single-standing trees surrounded by foliage and branches.