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^*

^*Tämän työn vastaava kirjoittaja

Tutkimustuotos: Lehtiartikkeli › Conference article › Scientific › vertaisarvioitu

338 Lataukset (Pure)

Abstrakti

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.

Alkuperäiskieli	Englanti
Sivut	367-372
Sivumäärä	6
Julkaisu	IFAC-PapersOnLine
Vuosikerta	52
Numero	30
DOI - pysyväislinkit	https://doi.org/10.1016/j.ifacol.2019.12.568
Tila	Julkaistu - 2019
OKM-julkaisutyyppi	A4 Artikkeli konferenssijulkaisussa
Tapahtuma	IFAC Conference on Sensing, Control and Automation Technologies for Agriculture - Sydney, Austraalia Kesto: 4 jouluk. 2019 → 6 jouluk. 2019 Konferenssinumero: 6

Pääsy asiakirjaan

10.1016/j.ifacol.2019.12.568

ELEC_Huuskonen_Oksanen_Augmented-Reality_IFACPaponline_52_30_authoracceptedmanuscriptAccepted author manuscript, 989 KB

HAUGE: Autonomiset ihmisen kanssa työskentelevät maatalouskoneet (HAUGE)
Oksanen, T. (Vastuullinen tutkija)
01/01/2017 → 31/12/2018
Projekti: Academy of Finland: Other research funding

Siteeraa tätä

@article{05ade2c04b7947e9ae77440c7cc1a5e9,

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",

year = "2019",

doi = "10.1016/j.ifacol.2019.12.568",

language = "English",

volume = "52",

pages = "367--372",

journal = "IFAC-PapersOnLine",

issn = "2405-8963",

publisher = "Elsevier",

number = "30",

note = "IFAC Conference on Sensing, Control and Automation Technologies for Agriculture, AGRICONTROL ; Conference date: 04-12-2019 Through 06-12-2019",

}

TY - JOUR

T1 - Augmented Reality for Supervising Multirobot System in Agricultural Field Operation

AU - Huuskonen, Janna

AU - Oksanen, Timo

N1 - Conference code: 6

PY - 2019

Y1 - 2019

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

JO - IFAC-PapersOnLine

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

Abstrakti

Pääsy asiakirjaan

Sormenjälki

Projektit

HAUGE: Autonomiset ihmisen kanssa työskentelevät maatalouskoneet (HAUGE)

Siteeraa tätä