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A study on autonomy level classification for self-propelled agricultural machines

  • Nam, Kyu-Chul (Certification, Warranty, Inspection and Standardization Team, Korea Agricultural Machinery Industry Cooperative) ;
  • Kim, Yong-Joo (Department of Biosystems Machinery Engineering, Chungnam National University) ;
  • Kim, Hak-Jin (Department of Biosystems Engineering, College of Agriculture and Life Sciences, Seoul National University) ;
  • Jeon, Chan-Woo (Department of Biosystems Engineering, College of Agriculture and Life Sciences, Seoul National University) ;
  • Kim, Wan-Soo (Institute of Agricultural Science, Chungnam National University)
  • Received : 2021.07.16
  • Accepted : 2021.08.18
  • Published : 2021.09.01

Abstract

In the field of on-road motor vehicles, the level for autonomous driving technology is defined according to J3016, proposed by Society of Automotive Engineers (SAE) International. However, in the field of agricultural machinery, different standards are applied by country and manufacturer, without a standardized classification for autonomous driving technology which makes it difficult to clearly define and accurately evaluate the autonomous driving technology, for agricultural machinery. In this study, a method to classify the autonomy levels for autonomous agricultural machinery (ALAAM) is proposed by modifying the SAE International J3016 to better characterize various agricultural operations such as tillage, spraying and harvesting. The ALAAM was classified into 6 levels from 0 (manual) to 5 (full automation) depending on the status of operator and autonomous system interventions for each item related to the automation of agricultural tasks such as straight-curve path driving, path-implement operation, operation-environmental awareness, error response, and task area planning. The core of the ALAAM classification is based on the relative roles between the operator and autonomous system for the automation of agricultural machines. The proposed ALAAM is expected to promote the establishment of a standard to classify the autonomous driving levels of self-propelled agricultural machinery.

Keywords

Acknowledgement

본 연구는 농림식품기술기획평가원의 첨단생산기술개발사업(과제번호: 318072-03 및 320026-3)의 지원에 의해 이루어진 것임.

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