Augmented Reality for Supervising Multirobot System in Agricultural Field Operation

Janna Huuskonen, Timo Oksanen

Research output: Contribution to journalConference articlepeer-review

17 Scopus citations

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.

Original languageEnglish
Pages (from-to)367-372
Number of pages6
JournalIFAC Proceedings Volumes (IFAC-PapersOnline)
Volume52
Issue number30
DOIs
StatePublished - 2019
Externally publishedYes
Event6th IFAC Conference on Sensing, Control and Automation Technologies for Agriculture, AGRICONTROL 2019 - Sydney, Australia
Duration: 4 Nov 20196 Nov 2019

Keywords

  • MR
  • autonomous vehicles
  • mixed reality
  • situational awareness
  • tractors
  • wearable headset

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