Low cost localisation for agricultural robotics

English, Andrew, Ball, David, Ross, Patrick, Upcroft, Ben, Wyeth, Gordon, & Corke, Peter (2013) Low cost localisation for agricultural robotics. In Katupitiya, Jayantha, Guivant, Jose, & Eaton, Ray (Eds.) Proceedings of the 2013 Australasian Conference on Robotics & Automation, Australian Robotics & Automation Association, University of New South Wales, Sydney, NSW, pp. 1-8.

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Abstract

This paper presents a pose estimation approach that is resilient to typical sensor failure and suitable for low cost agricultural robots. Guiding large agricultural machinery with highly accurate GPS/INS systems has become standard practice, however these systems are inappropriate for smaller, lower-cost robots. Our positioning system estimates pose by fusing data from a low-cost global positioning sensor, low-cost inertial sensors and a new technique for vision-based row tracking. The results first demonstrate that our positioning system will accurately guide a robot to perform a coverage task across a 6 hectare field. The results then demonstrate that our vision-based row tracking algorithm improves the performance of the positioning system despite long periods of precision correction signal dropout and intermittent dropouts of the entire GPS sensor.

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ID Code: 66624
Item Type: Conference Paper
Refereed: Yes
Keywords: Agricultural robotics, Low cost agricultural robots, GPS/INS systems, Inertial sensors, Vision-based row tracking algorithm
ISBN: 9780980740448
ISSN: 1448-2053
Divisions: Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Funding:
Copyright Owner: Copyright 2013 [please consult the authors]
Deposited On: 28 Jan 2014 01:35
Last Modified: 24 Jul 2014 01:12

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