ELEC-E8120 - Smart forestry machines, Lecture, 27.2.2023-8.5.2023
Kurssiasetusten perusteella kurssi on päättynyt 08.05.2023 Etsi kursseja: ELEC-E8120
Osion kuvaus
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Lecture 1, Feb 27: Course arrangements, Current CTL Forest Machines, Harvester + Forwarder Kansio
Course arrangements, Current CTL Forest Machines, Harvester + Forwarder
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Lecture 2, Mar 2 & 6: Forest SLAM with LiDAR, Localizationg and Mapping Kansio
Forest SLAM with LiDAR, Localizationg and Mapping
Positioning in forest, Forest SLAM with LiDAR, creating map of trees. Experiments with ATV , IEEE ICRA 2007. Also experiments with a real Forestry machineFirst 3D Forest SLAMFeature Based Modeling and Mapping of Tree Trunks and Natural Terrain Using 3D Laser Scanner Measurement System, IFAC IAV 2013 -
Lecture 3, March 8: Machine Vision in Forest SLAM Kansio
Machine Vision in Forest SLAM
Measuring diameters of the stems of trees (Kosti Kangas)
Classification of species of trees (Sampsa Kosonen)
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Lecture 4, Mar 13 & 15, April 24: Machine perception in the harvester head Kansio
Machine perception in the harvester head
BEFORE FELLING – MEASUREMENTS
MOTION VISION, DEPTH IMAGE FROM OPTICAL FLOW
BEFORE FELLING – MEASUREMENTS, STEREO VISION
BEFORE FELLING – MEASUREMENTS, LiDAR
DURING PROCESSING -METHODS
DURING PROCESSING –Fiber optic blade camera, VTT
DURING PROCESSING –CUT SURFACE IMAGE ANALYSIS , TTY Prof Ritala
Lenght measurement using sequence of images
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Lecture 5, April 26: Semiautonomous Cleaning of Young Forests Kansio
Semiautonomous Cleaning of Young Forests
The prototype of a Semiautonomous Early Cleaning machine
The Instrumentation of the crane
Recognition of small trees with machine vision
HMI
Detection, Localization and Species Identification of Young Trees Using Machine Vision fro late cleaning
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Lecture 6, May 22: Automatic control of the forestry crane or boom Kansio
Automatic control of the forestry crane or boom
to be added
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Lecture 7, May 24: Automatic driving in terrain, semiautonomous forwarder Kansio
Automatic driving in terrain, semiautonomous forwarder
Introduction of project SUSTAINABLE AND COST-EFFICIENT SEMI-AUTONOMOUS FOREST MACHINE SYSTEM FOR THE CLIMATE CHANGE CHALLENGED FUTURE, AUTOLOGGER
Positioning, Map of trees, Forest SLAM
Dynamic models for the three test platforms
Measuring the 3Dform of the driving path
MPC-control for Automatic driving
Teleoperation of unloading