Covering path generation for autonomous turf-care vehicle

Christian Mai, Jerome Jouffroy, Søren Top, Martin Bjærre

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1 Citationer (Scopus)

Abstract

A covering path generation algorithm is developed to generate a lengthwise pattern based on a polygon describing the outer boundary and obstacles (polygon holes) of a geographical area. The algorithm is applied to an autonomous lawn-care robot for application to large grass turfs, for example golf-courses, which require structured and precise cutting patterns. The geographical polygon is recorded by manually driving the vehicle around the contour, resulting in a polygon given as geographical (latitude, longitude) coordinates of the vertices, which together with machine parameters are used to generate a suitable toolpath. The algorithm has been tested on a recorded polygon from a local park turf which is non-convex and has holes, illustrating the algorithm functionality and limitations wrt. optimality. In particular, the algorithm can generate a tool-path for any polygon orientation.

OriginalsprogEngelsk
Titel2017 IEEE International Conference on Advanced Intelligent Mechatronics, AIM 2017
Antal sider6
ForlagIEEE Signal Processing Society
Publikationsdato21 aug. 2017
Sider346-351
Artikelnummer8014041
ISBN (Elektronisk)9781509059980
DOI
StatusUdgivet - 21 aug. 2017
Begivenhed2017 IEEE International Conference on Advanced Intelligent Mechatronics, AIM 2017 - Munich, Tyskland
Varighed: 3 jul. 20177 jul. 2017

Konference

Konference2017 IEEE International Conference on Advanced Intelligent Mechatronics, AIM 2017
Land/OmrådeTyskland
ByMunich
Periode03/07/201707/07/2017
NavnIEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM

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Publisher Copyright:
© 2017 IEEE.

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