• Journal of Biosystems Engineering
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• 제35권2호
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• pp.85-90
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• 2010

This study was carried out to develop turning radius measuring method and device of using a DGPS speed sensor for agricultural tractors. The measurement system consisted of a DGPS speed sensor, a data acquisition device, a touch panel, a photo sensor, a radio modem and a notebook computer. Three methods were developed: average of turning speed-time method, integral of turning speed-time method, and speed-heading angular velocity method. Best method was average of turning speed-time method which could be used with a maximum error 2.7 cm.

• Journal of Biosystems Engineering
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• 제23권1호
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• pp.75-82
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• 1998

Autonomous speedsprayer operation was conducted using a fuzzy controller combined with a DGPS. The signal of DGPS receiver and signals of four ultrasonic sensors were processed in real time. The speedsprayer was steered with two levers controlled by two hydraulic cylinders. The fuzzy controller has two inputs; direction of running obtained from the DGPS receiver and distance from trees measured by ultrasonic sensors. The operation times of the hydraulic cylinders were inferred as outputs of the fuzzy controller. Field test results showed that the speedsprayer could be autonomously operated by the developed fuzzy controller including turning operation in the end of the tree row. The ultrasonic sensors contributed a little to performance of the autonomous operation, but the speedsprayer could avoid trees or obstacles in emergent situations with them.

• Journal of Biosystems Engineering
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• 제24권2호
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• pp.135-144
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• 1999

An yield monitoring system plays a key role in precision farming. An yield monitoring system and a DGPS were implemented to a widely used domestic combine for yield mapping of a small sized paddy field, and yield mapping algorithms were investigated in this study. The yield variation in the 0.1ha rice paddy field was measured by installing a yield flow sensor and a grain moisture sensor at the end of the clean grain elevator discharging grains into a grain tank. Yield map of the test filed was drawn in a point map and a linear interpolated map based on the result of the field test. The size of a unit yield grid in yield mapping was determined based on the combine traveling speed, effective harvesting width and data storing period. It was possible to construct the yield map of a small sized paddy field.

• 한국ITS학회 논문지
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• 제16권6호
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• pp.219-230
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• 2017

본 논문에서는 확장형 칼만필터를 적용하여 영상센서 기반 차대도로간 트래킹 알고리즘을 제안한다. 일반적으로 횡방향 오프셋, 차선대비 상대경로각, 전방도로 곡률은 차선유지지원시스템의 경로추종 횡방향 제어기 구성 또는 차선이탈경보시스템의 경보 로직을 위한 중요 입력값으로 활용되는데 이를 위해 본 연구에서는 영상센서 차선인식 결과값인 이미지 상의 차선 추출점의 좌표값과 더불어 요레이트, 조향각, 차속 센서 측정값, 그리고 차량의 횡방향 운동방정식을 고려한 확장형 칼만필터를 적용하여 차대도로간 트래킹 정보를 추출한다. 제안된 차대도로간 트래킹 알고리즘의 유효성을 증명하기 위해 주행 테스트 도로 상에서 DGPS-RTK 장비를 이용하여 비교 검증하여 그 유효성을 보였다.

• 한국자동차공학회논문집
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• 제19권4호
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• pp.8-15
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• 2011

This paper proposes a real-time navigation algorithm which integrates the artificial potential field (APF) for an unmanned vehicle in the unknown environment. This approach uses repulsive potential function around the obstacles to force the vehicle away and an attractive potential function around the goal to attract the vehicle. In this research, laser range finder is used as range sensor. An obstacle detected by the sensor creates repulsive vector. Differential global positioning system (DGPS) and digital compass are used to measure the current vehicle position and orientation. The measured vehicle position is also used to create attractive vector. This paper proposes a new concept of potential field based navigation which controls unmanned vehicle's speed and steering. The magnitude of repulsive force based on the proposed algorithm is designed not to be over the magnitude of attractive force while the magnitude is increased linearly as being closer to obstacle. Consequently, the vehicle experiences a generalized force toward the negative gradient of the total potential. This force drives the vehicle downhill towards its goal configuration until the vehicle reaches minimum potential and it stops. The effectiveness of the proposed APF for unmanned vehicle is verified through simulation and experiment.

• 한국항공우주학회지
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• 제41권1호
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• pp.54-60
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• 2013

본 논문에서는 무인기 자동이착륙을 위해 DGPS와 레이저 고도계를 이용한 고도계산 알고리듬을 제시하였다. 지상시험을 통해 레이저 고도계의 특성을 분석하고 신호의 난반사를 제거하기 위해 저역통과 필터를 설계했으나, 시뮬레이션 결과 단일 센서를 사용해서 지면고도를 정확하고 안정적으로 측정할 수 없음을 확인하였다. 레이저 고도계의 단점을 보완하기 위해 DGPS에서 출력되는 수직방향 속도를 사용하여 선형 칼만필터를 설계하였다. 설계한 필터는 시뮬레이션, 지상시험 그리고 비행시험의 검증단계를 거쳐 자동이착륙에 필요한 정확도를 만족함을 확인하였다.