Augmented Reality in Forest Machine Cabin

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Journal Title
Journal ISSN
Volume Title
School of Electrical Engineering | A4 Artikkeli konferenssijulkaisussa
Date
2017
Major/Subject
Mcode
Degree programme
Language
en
Pages
5410-5417
Series
IFAC-PapersOnLine, Volume 50, Issue 1
Abstract
Augmented reality human machine interface is demonstrated in the cabin of a forest machine outdoors for the first time in real time. In this work, we propose a system setup and a real-time capable algorithm to augment the operator’s visual field with measurements from the forest machine and its environment. In the demonstration, an instrumented forestry crane and a lidar are used to model the pose of the crane and its surroundings. In our approach, a camera and an inertial measurement unit are used to estimate the pose of the operator’s head in difficult lighting conditions with the help of planar markers placed on the cabin structures. Using the estimate, a point cloud and a crane model are superimposed on the video feed to form an augmented reality view. Our system is tested to work outdoors using a forest machine research platform in real time with encouraging initial results.
Description
Keywords
Attitude algorithms, Augmented reality, Calibration, Forestry, Position estimation, Real time, Sensor fusion
Other note
Citation
Palonen, Tuomo & Hyyti, Heikki & Visala, Arto. 2017. Augmented Reality in Forest Machine Cabin. Proceedings of the 20th World Congress of the International Federation of Automatic Control (IFAC 2017). IFAC-PapersOnLine. Volume 50, Issue 1. 5410-5417. ISSN 2405-8963 (electronic). DOI: 10.1016/j.ifacol.2017.08.1075.