Augmented Reality in Forest Machine Cabin

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© 2017 Elsevier B.V. This is the post print version of the following article: 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. This post-print is published with permission from Elsevier under CC BY-NC-ND 4.0 license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

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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.

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Keywords

Attitude algorithms, Augmented reality, Calibration, Forestry, Position estimation, Real time, Sensor fusion

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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.