Augmented Reality for Supervising Multirobot System in Agricultural Field Operation

Janna Huuskonen; Timo Oksanen

doi:10.1016/j.ifacol.2019.12.568

Augmented Reality for Supervising Multirobot System in Agricultural Field Operation

Janna Huuskonen
, Timo Oksanen^*

^*Corresponding author for this work

Research output: Contribution to journal › Conference article › Scientific › peer-review

23 Citations (Web of Science)

389 Downloads (Pure)

Abstract

Agriculture is shifting from farmers manually operating machines to monitoring autonomous machines. Thus, the task of a farmer is fleet management and taking care of safe operation. Situational awareness during the operation is important. Augmented reality (AR) is a powerful tool for visualizing information in real-time. To demonstrate the use of AR in agricultural fleet management, in this paper we present a novel AR system to help the farmer supervise the operation of two autonomous agricultural machines. The paper discusses the requirements for AR application, and we present the architecture of the system and the results of a demonstration carried out in a test field. (C) 2019, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.

Original language	English
Pages (from-to)	367-372
Number of pages	6
Journal	IFAC-PapersOnLine
Volume	52
Issue number	30
DOIs	https://doi.org/10.1016/j.ifacol.2019.12.568
Publication status	Published - 2019
MoE publication type	A4 Conference publication
Event	IFAC Conference on Sensing, Control and Automation Technologies for Agriculture - Sydney, Australia Duration: 4 Dec 2019 → 6 Dec 2019 Conference number: 6

Funding

The research was funded by the Academy of Finland, decision number 306025. The authors would like to acknowledge and thank Riikka Soitinaho and Vili Vayrynen for their team contributions in our common research project to demonstrate the system capabilities of the autonomous agricultural machine fleet. In addition, we thank the staff of Vakola at the field test site, especially Raimo Linkolehto.

Keywords

Autonomous vehicles
Situational awareness
Tractors
Wearable headset
Mixed reality
MR

Access to Document

10.1016/j.ifacol.2019.12.568

ELEC_Huuskonen_Oksanen_Augmented-Reality_IFACPaponline_52_30_authoracceptedmanuscriptAccepted author manuscript, 989 KB

HAUGE: Hybrid autonomous and augmented agricultural tools (HAUGE)
Oksanen, T. (Principal investigator), Soitinaho, R. (Project Member), Väyrynen, V.-T. (Project Member) & Huuskonen, J. (Project Member)
01/01/2017 → 31/12/2018
Project: Academy of Finland: Other research funding

Cite this

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title = "Augmented Reality for Supervising Multirobot System in Agricultural Field Operation",

abstract = "Agriculture is shifting from farmers manually operating machines to monitoring autonomous machines. Thus, the task of a farmer is fleet management and taking care of safe operation. Situational awareness during the operation is important. Augmented reality (AR) is a powerful tool for visualizing information in real-time. To demonstrate the use of AR in agricultural fleet management, in this paper we present a novel AR system to help the farmer supervise the operation of two autonomous agricultural machines. The paper discusses the requirements for AR application, and we present the architecture of the system and the results of a demonstration carried out in a test field. (C) 2019, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.",

keywords = "Autonomous vehicles, Situational awareness, Tractors, Wearable headset, Mixed reality, MR",

author = "Janna Huuskonen and Timo Oksanen",

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AU - Oksanen, Timo

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N2 - Agriculture is shifting from farmers manually operating machines to monitoring autonomous machines. Thus, the task of a farmer is fleet management and taking care of safe operation. Situational awareness during the operation is important. Augmented reality (AR) is a powerful tool for visualizing information in real-time. To demonstrate the use of AR in agricultural fleet management, in this paper we present a novel AR system to help the farmer supervise the operation of two autonomous agricultural machines. The paper discusses the requirements for AR application, and we present the architecture of the system and the results of a demonstration carried out in a test field. (C) 2019, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.

AB - Agriculture is shifting from farmers manually operating machines to monitoring autonomous machines. Thus, the task of a farmer is fleet management and taking care of safe operation. Situational awareness during the operation is important. Augmented reality (AR) is a powerful tool for visualizing information in real-time. To demonstrate the use of AR in agricultural fleet management, in this paper we present a novel AR system to help the farmer supervise the operation of two autonomous agricultural machines. The paper discusses the requirements for AR application, and we present the architecture of the system and the results of a demonstration carried out in a test field. (C) 2019, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.

KW - Autonomous vehicles

KW - Situational awareness

KW - Tractors

KW - Wearable headset

KW - Mixed reality

KW - MR

U2 - 10.1016/j.ifacol.2019.12.568

DO - 10.1016/j.ifacol.2019.12.568

M3 - Conference article

SN - 2405-8963

VL - 52

SP - 367

EP - 372

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JF - IFAC-PapersOnLine

IS - 30

T2 - IFAC Conference on Sensing, Control and Automation Technologies for Agriculture

Y2 - 4 December 2019 through 6 December 2019

ER -

Augmented Reality for Supervising Multirobot System in Agricultural Field Operation

Abstract

Funding

Keywords

Access to Document

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Projects

HAUGE: Hybrid autonomous and augmented agricultural tools (HAUGE)

Cite this