Sensor fusion of IMU and GPS for geofencing on an industrial control system for safe mowing in road areas

Raimund Edlinger; Stefan Dumberger

Sensor fusion of IMU and GPS for geofencing on an industrial control system for safe mowing in road areas

Raimund Edlinger
, Stefan Dumberger

Research output: Chapter in Book/Report/Conference proceedings › Conference contribution › peer-review

47 Downloads (Pure)

Abstract

The paper presents the implementation of geofencing on a mobile industrial controller for the automation of a mobile carrier vehicle for agricultural use. This system is used to prevent collision with well-known obstacles as well as avoid the accidental run-away of the vehicle under autonomous operation. It describes the mathematical principle used, as well as the additional features needed for a practical implementation on an industrial controller. As it is necessary to ensure the operation under real-world conditions, the paper also handles the data acquisition, pre-filtering and sensor fusion for system. Finally the correct behavior of the system is evaluated with multiple test-cases as well as experimental field tests.

Original language	German (Austria)
Title of host publication	PROCEEDINGS OF THE AUSTRIAN ROBOTICS WORKSHOP 2022
Subtitle of host publication	Robotics for Assistance and in Healthcare
Place of Publication	Villach
Pages	91-96
Number of pages	6
ISBN (Electronic)	978-3-99076-109-0
Publication status	Published - 1 Jul 2022

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure
SDG 15 Life on Land

Access to Document

ARW2022_Door_Detection_FinalFinal published version, 4.93 MB

https://www.researchgate.net/publication/361936534_Proceedings_of_the_ARW_2022Licence: Unspecified
https://robotik.informatik.uni-wuerzburg.de/telematics/download/ARW2022_Geofencing.pdfLicence: Other

Cite this

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title = "Sensor fusion of IMU and GPS for geofencing on an industrial control system for safe mowing in road areas",

abstract = "The paper presents the implementation of geofencing on a mobile industrial controller for the automation of a mobile carrier vehicle for agricultural use. This system is used to prevent collision with well-known obstacles as well as avoid the accidental run-away of the vehicle under autonomous operation. It describes the mathematical principle used, as well as the additional features needed for a practical implementation on an industrial controller. As it is necessary to ensure the operation under real-world conditions, the paper also handles the data acquisition, pre-filtering and sensor fusion for system. Finally the correct behavior of the system is evaluated with multiple test-cases as well as experimental field tests.",

keywords = "Sensor fusion, Agricultural tool carrier, Geofencing, GPS based localisation",

author = "Raimund Edlinger and Stefan Dumberger",

year = "2022",

month = jul,

day = "1",

language = "Deutsch ({\"O}sterreich)",

pages = "91--96",

booktitle = "PROCEEDINGS OF THE AUSTRIAN ROBOTICS WORKSHOP 2022",

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Sensor fusion of IMU and GPS for geofencing on an industrial control system for safe mowing in road areas. / Edlinger, Raimund; Dumberger, Stefan.
PROCEEDINGS OF THE AUSTRIAN ROBOTICS WORKSHOP 2022: Robotics for Assistance and in Healthcare. Villach, 2022. p. 91-96.

Research output: Chapter in Book/Report/Conference proceedings › Conference contribution › peer-review

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