• Journal of the Korean Institute of Intelligent Systems
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• v.16 no.5
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• pp.581-586
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• 2006

In this paper, describes ground detection method for removal earth field of magnet guidance system Magnetic guidance system is magnetic markers are installed just under the surface of roadway pavement and the magnetic fields generated these markers are detected by magnetic field sensor mounted of vehicles. vehicle is know lot lateral distance using magnetic field. But sensor is together measuring the magnetic field and earth field. It is operate error. Thus in this paper, proposed new method removing earth field or development experiment device via show the for practical and excellence.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2006.11a
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• pp.123-126
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• 2006

본 논문은 자율주행차량과 로봇의 안내를 위한 자계위치인식시스템을 제안한다. 자계위치인식시스템은 자성체로부터 발생되는 자계를 측정하여 위치를 인식한다. 이러한 자계위치인식시스템에서 지구자계는 기본적인 왜란으로 작용한다. 본 논문에서는 지구자계의 영향을 제거하기 위해서 다수의 1축 자계센서 열을 구성하였으며, 자계센서 출력의 선형구간을 이용하여 정밀한 위치인식시스템을 개발하였다. 본 논문에서 제안하는 자계위치인식시스템은 실험을 통하여 그 실용성을 검증하였다.

• Journal of the Korean Institute of Intelligent Systems
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• v.17 no.2
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• pp.214-219
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• 2007

In this paper, a new magnetic position sensing mettled for autonomous vehicle and robot guidance is presented. In autonomous vehicle and robot control, position sensing is an important task for the identification of their locations, such as the current position within a trajectory. The magnet based autonomous vehicle and robot was identified position via magnetic materials. In the magnetic sensing system, the Earth field is one of the largest disturbance. To removal of the Earth field, this paper proposes 1-dimensional magnetic field sensors array and develops precise petition sensing system using linear operating region of the magnetic field sensor. This proposal is verified a feasible magnetic position sensing system for autonomous vehicle and robot guidance by the experimental results.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2008.04a
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• pp.67-70
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• 2008

본 논문에서는 자계표식기반 안내시스템을 이용한 차량의 무인주행을 제안한다. 자계기반 안내시스템에서 가장 중요한 것은 자계도로상의 자석의 위치예측이다. 자석의 위치를 예측하기 위하여 자석과 센서의 상관관계를 해석하여 도로에 매설된 자석의 위치를 검출하기 위한 배열형 자계표식위치인식센서를 개발하였다. 또한 자동모드와 수동모드의 동작을 위해 스텝모터를 이용한 조향제어장치를 개발하였다. 자율주행 실험을 위해 자계기반 자계도로를 구성하였다. 그리고 로봇형 차량을 자계도로에서 실험을 통해 실용성을 입증하였다.

• Journal of the Korean Institute of Intelligent Systems
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• v.21 no.4
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• pp.430-435
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• 2011

In this paper, a navigation technology of an unmanned vehicle using relative localization and magnetic guidance is proposed. Magnetic guidance system had been developed as a robust autonomous driving technology as long as magnetic fields on the path are detected. Otherwise, if magnetic fields were not detected due to some reasons, the vehicle could not drive. Therefore, in order to overcome the drawback, we propose that relative localization would be combined to magnetic guidance system. To validate the usefulness of the proposed method, a robotic vehicle was set up with the magnetic guidance system and the relative localization. In addition, the unmanned driving test was realized on the road without the magnetic fields so that the proposed method is verified by the experiment.

• Journal of Advanced Marine Engineering and Technology
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• v.37 no.1
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• pp.114-120
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• 2013

Recently, navigation systems based on wireless communication have been applied to the internal structures such as building or ship. If a stable azimuth information is obtained, these systems can effectively guide the direction of the user's progress through the information and then can improve the performance of guidance. Since conventional method which has acquired an azimuth information using geomagnetic and acceleration sensor(azimuth sensor hereafter) is sensitive to the effects of the magnetic field, it has unstable error range according to the surrounding environment. In order to improve these problems, this paper presents a new relative azimuth estimation algorithm using the displacement of a mobile node and its rotation angle based on Wireless communication. For the performance assessment of the proposed algorithm, experiments using rotating arm are performed and the results are confirmed that the proposed system can estimate the relative azimuth without using additional sensors.