• Proceedings of the Korea Information Processing Society Conference
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• 2022.11a
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• pp.1071-1073
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• 2022

본 논문은 항만 완전 자동화를 위하여, 자율주행 트랙터와 스마트 신호등을 도입한 IoT 기반 스마트 항만 교통제어 시스템을 메타버스를 통해 제안한다.

• Proceedings of the Korean Society for Agricultural Machinery Conference
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• 1999.07a
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• pp.150-158
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• 1999

해외 농산물의 개방에 대비해 국내 농산물의 국제 경쟁력 강화를 위한 방안 마련이 시급한 때에 농산물의 품질 향상 및 생산비 절감을 위하여 다양한 분야에서 연구가 진행되고 있다. 그 중 농업기계분야의 연구는 현장에서의 애로점을 해결하려는 자동화 및 무인화, 첨단기술을 이용한 고능률화 및 지능화에 관한 연구가 활발히 진행중이며 요소 기술로는 각종 센서와 신경회로망, 퍼지이론 등 인공지능 기술이 응용되고 있다. (중략)

• Proceedings of the Korean Society for Agricultural Machinery Conference
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• 2002.07a
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• pp.413-418
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• 2002

단순한 반복작업에서 부터 복잡한 의사결정과정과 경험적 지식을 필요로 하는 고도화된 산업분야에 이르기까지, 오늘날 정보화의 물결이 닿지 않는 곳이란 거의 찾기 어렵다. 트랙터와 같은 자주형 농기계의 자율주행 기술은 농업분야에서 이루어 지고있는 산업 정보화의 또 다른 일면이며 생산성과 포장작업 능률을 혁신적으로 향상시킬 수 있는 미래의 기술로 평가되고 있다. (중략)

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.12 no.3
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• pp.201-210
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• 2019

This paper proposes the AMCS(Agricultural Machine Control System that distinguishes farms using satellite photos or drone photos of farms and controls the self-driving and operation of farm drones and tractors. The AMCS consists of the LSM(Local Server Module) which separates farm boundaries from sensor data and video image of drones and tractors, reads remote control commands from the main server, and then delivers remote control commands within the management area through the link with drones and tractor sprinklers and the PSM that sets a path for drones and tractors to move from the farm to the farm and to handle work at low cost and high efficiency inside the farm. As a result of AMCS performance analysis proposed in this paper, the PSM showed a performance improvement of about 100% over Dijkstra algorithm when setting the path from external starting point to the farm and a higher working efficiency about 13% than the existing path when setting the path inside the farm. Therefore, the PSM can control tractors and drones more efficiently than conventional methods.

• Proceedings of the Korea Information Processing Society Conference
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• 2023.11a
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• pp.553-556
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• 2023

데이터 증강은 데이터 불균형 문제를 해결하기 위해 일반화 성능을 향상시킨다. 이는 과적합 문제를 해결하고 정확도를 높이는 데 도움을 준다. 과적합을 해결하기 위해서 본 논문에서는 분할 마스크 라벨링을 자동화하여 효율성을 높이고, RoI를 활용한 분할 Copy-Paste 데이터 증강 기법을 제안한다. 본 논문의 제안 방법을 적용한 결과 YOLOv8 모델에서 기존의 분할, 박스 Copy-Paste 데이터 증강 기법과 비교해서 쓰러진 사람 객체에 대한 정확도가 10.2% 증가함으로써 제안한 방법이 일반화 성능을 높이는 데 효과가 있음을 확인하였다.

• Korean Journal of Agricultural Science
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• v.37 no.1
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• pp.113-121
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• 2010

Land consolidation ratio for rice paddy fields reached to 64.7% as of 2008 in Korea, and this also accelerated automation of field machinery. Especially, research on autonomous tractors has been continuously conducted. Tillage is one of the labor-, energy-, and time-consuming field operations. Most important requirements for autonomous tractors would be travelling path planning and electronic system to control the tractor to follow the path. The instruction of computer was required to conduct the tillage operation in field with unmanned traveling tractor. This instruction was coincidently used in the control of the traveling path and the motion of tractor. The objectives of the study were 1) to characterize and model tillage operating sequence, turning pattern, and 2) to develop tillage path formation programs for autonomous tractor and evaluate the performance.

• Journal of Drive and Control
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• v.20 no.4
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• pp.80-91
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• 2023

The purpose of this study is to suggest the direction for the development of intelligent agricultural machinery technology in the Republic of Korea. For this purpose, intelligent technology of agricultural machinery was divided into autonomous agricultural machinery and tractor-implement intelligent communication technology. Then, a survey and analysis of a previous study of the Republic of Korea and foreign countries were conducted. GNSS-based autonomous driving technology is still widely used worldwide, and recently, as research on camera and LiDAR-based autonomous driving is actively progressing, autonomous driving technology is becoming more advanced. ISOBUS-based technology is being developed worldwide for intelligent control of tractor-attached implements, and major global agricultural machinery manufacturers are actively applying it to their products. However, although some ISOBUS technologies are being researched in the Republic of Korea, there are no cases of application on agricultural machinery yet. Therefore, to be globally competitive in the agricultural machinery manufacturing industry, there is an urgent need to advance autonomous driving technology and commercialize agricultural machinery using ISOBUS technology.

• Korean Journal of Agricultural Science
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• v.38 no.2
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• pp.343-347
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• 2011

Precise traveling and tillage operation using an autonomous tractor is difficult with the data from the Geographic Information System(GIS) because it does not include the data of the width and inclination of the field to work. The minimum turing radius of the tractor could be different from the value presented by the tractor maker due to the moisture content of the field soil or operators' skill. Two programs were developed to process data obtained with the tillage path measuring system: one for recognizing coordinates of the 4 field corners, and the other for recognizing the minimum turning radius of the tractor.

• Korean Journal of Agricultural Science
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• v.37 no.1
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• pp.123-130
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• 2010

A steering control system based on CAN(Controller Area Network) for autonomous tractor was developed to reduce duty of a central processing computer and to improve performance of steering control in terms of reduced control interval and error. The steering control system consisted of a SCU (Steering Control Unit), an EHPS system, and a potentiometer. The SCU consisted of an MCU (Micro Controller unit), an A/D converter, and a DC-DC converter, and a PID controller was used to control steering angle. The steering control system was communicated with the computer by CAN-bus. Each actuator and implement was connected to a multi-function board interfacing with the computer through a USB cable. Without CAN, control interval of the autonomous tractor was 1.5 seconds. When the CAN-based steering control system was combined with the autonomous tractor, however, control interval of the integrated system was reduced to those less than 0.05 seconds. When the autonomous tractor was operated with 1.5-s and 0.05-s control cycles at a 0.63-m/s travelling speed, the trajectories were close to straight lines for both of the control cycles. For a 1.34-m/s traveling speed, tractor trajectory was close to sine wave with a 1.5-s control cycle, but was straight line with a 0.05-s control cycle.