• Ocean and Polar Research
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• v.36 no.4
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• pp.465-473
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• 2014

This paper proposes a formation control method by which multi-mining robots maintain a specified formation and follow a path. To secure the path tracking performance, a pure-pursuit algorithm is considered for each individual robot, and to minimize the deviation from the reference path, speed reduction in the steering motion is added. For the formation, in which two robots are parallel in a lateral direction, the robots track the specified path at a constant distance. In this way, the Leader-Follower method is adopted and the following robot knows the position and heading angle of the leader robot. Through the experimental test using two ground vehicle models, the performance is verified.

• 한국정보통신설비학회:학술대회논문집
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• 2009.08a
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• pp.262-265
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• 2009

최근 각광받고 있는 위치기반 서비스의 모델인 긴급 SOS 시스템은 기지국망을 이용한 광역위치추적과 IEEE 802.15.4를 기반으로 하는 근거리 위치추적 시스템이 결합된 새로운 형태의 하이브리드형 위치추적 기법이다. 본 시스템에서 근거리 위치추적 범위를 정확히 추정하는 것은 중요한 이슈라 할 수 있다. 따라서 본 논문에서는 IEEE 8020.15.4를 기반으로 하는 Zigbee 통신방식을 추정 할 수 있는 최대 거리를 log distance model과 two ray ground 모델을 기반으로 추정 하였다.

• 한국정보통신설비학회:학술대회논문집
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• 2009.08a
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• pp.231-234
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• 2009

In this paper the situation requiring emergency rescue team from the endangered person, using the structure of the signal with a transmitter that provides the service. Given real-time map information based on a directional antenna to the transmitter of the received value, and moving the location of the forecast to move the tracker to the location of the transponder, the algorithm offers. Location tracking algorithm implemented in the simulator to actually do the verification report which will show whether the performance of the show.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2001.11a
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• pp.30-35
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• 2001

CAVE 시스템은 다수의 프로젝션 장비들을 사용하여, 물리적으로 사용자를 둘러싼 각 면에 영상을 투사하여 사용자에게 현실감을 제공하는 통합환경이다. 본 논문은 CAVE 시스템을 실제 구축하여 보고, 시스템을 구축하는데 있어 문제가 되는 각 면에서의 영상의 초기 설정의 보정 문제, 다수의 영상이 사용자의 시점에서 왜곡되지 않고 현실화되도록 하는 알고리즘과, 사용자의 시점을 찾기 위한 위치 추적 장비의 정확성 문제와 시점에 대한 보정 문제, 사용자가 가상 공간을 운용할수 있도록 하는 장비들의 사용 환경 설계 문제 등을 해결하는 방법에 대하여 연구하였다. 또한, 본 논문은 CAVE 시스템 안에서 각 장비들이 전체적으로 조율 되어 운용되는 방법을 제시한다.

• Journal of the Korea Institute of Military Science and Technology
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• v.3 no.2
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• pp.131-139
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• 2000

A design of CPS attitude determination system is described in this paper. The designed system is a low cost high precision 24 channel single frequency GPS(Global Positioning System) receiver which provides a precise absolute heading and pitch (or roll) as well as a position. It uses commercial chip-set and consists of two RF parts, two signal-tracking parts, a processor, memory parts and I/Os. In order to determine precise attitude, accurate carrier phase measurements and an efficient integer ambiguity resolution method are required. To meet these requirements, a PLL (Phase Locked Loops) is designed, and an algorithm called ARCE (Ambiguity Resolution with Constraint Equation) is adopted. The hardware and software structure of the system will be described, and the performance evaluated under various conditions will be presented. The test results will promise that more reliable navigation system be possible because the system provides all navigational information such as position, velocity, time and attitude.

• Proceedings of the KIEE Conference
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• 2004.05a
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• pp.44-46
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• 2004

본 논문에서는 이동로봇이 임의의 선행물체를 추종할 때 진행 경로상에 이동장애물이 진입하는 경우 이 장애물을 효과적으로 회피할 수 있는 방법을 제시한다 초음파 센서를 이용하여 이동로봇의 진행경로에 진입하는 이동장애물에 대한 거리 정보와 방향각(Heading Angle)을 구할 수 있다. 이동로봇의 본체 주위에 배치된 16개의 초음파 센서를 이용하여 이동로봇의 전면, 후면 및 측면의 데이터를 얻을 수 있으며 이 정보를 퍼지제어기의 입력으로 사용한다 퍼지제어기는 이러한 입력정보와 제안된 규칙 베이스를 이용하여 이동로봇의 진행방향과 속도를 결정한다. 본 논문에서 제안한 퍼지제어기를 이용한 시뮬레이션을 통해 이동장애물에 대한 효과적인 충돌회피가 수행됨을 보인다.

• Journal of Auto-vehicle Safety Association
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• v.13 no.4
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• pp.123-128
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• 2021

This paper present box feature estimation from LiDAR point cluster using maximum likelihood Method. Previous LiDAR tracking method for autonomous driving shows high accuracy about velocity and heading of point cluster. However, Assuming the average position of a point cluster as the vehicle position has a lower accuracy than ground truth. Therefore, the box feature estimation algorithm to improve position accuracy of autonomous driving perception consists of two procedures. Firstly, proposed algorithm calculates vehicle candidate position based on relative position of point cluster. Secondly, to reflect the features of the point cluster in estimation, the likelihood of the particle scattered around the candidate position is used. The proposed estimation method has been implemented in robot operating system (ROS) environment, and investigated via simulation and actual vehicle test. The test result show that proposed cluster position estimation enhances perception and path planning performance in autonomous driving.

• Agricultural and Biosystems Engineering
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• v.6 no.2
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• pp.47-53
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• 2005

AMachine vision is a promising tool for the autonomous guidance of farm machinery. Conventional CCD camera for the machine vision needs a desktop PC to install a frame grabber, however, a web camera is ready to use when plugged in the USB port. A web camera with a notebook PC can replace existing camera system. Autonomous steering control system of this research was intended to be used for combine harvester. If the web camera can recognize cut/uncut edge of crop, which will be the reference for steering control, then the position of the machine can be determined in terms of lateral offset and heading angle. In this research, a white line was used as a cut/uncut edge of crop for steering control. Image processing algorithm including capturing image in the web camera was developed to determine the desired travel path. An experimental vehicle was constructed to evaluate the system performance. Since the vehicle adopted differential drive steering mechanism, it is steered by the difference of rotation speed between left and right wheels. According to the position of vehicle, the steering algorithm was developed as well. Evaluation tests showed that the experimental vehicle could travel within an RMS error of 0.8cm along the desired path at the ground speed of $9\sim41cm/s$. Even when the vehicle started with initial offsets or tilted heading angle, it could move quickly to track the desired path after traveling $1.52\sim3.5m$. For turning section, i.e., the curved path with curvature of 3 m, the vehicle completed its turning securely.

• Journal of Navigation and Port Research
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• v.41 no.4
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• pp.189-194
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• 2017

The Moving Search Radar System (MSRS) monitors sea areas by moving along the coast. Since the radar is initially aligned to the front of the vehicle, it is important to know the changes in the heading azimuth of the vehicle to quickly acquire the target azimuth from the radar after the MSRS has moved. The heading azimuth can be obtained using the gyro compass, the GPS compass or the electronic compass. The electronic compass is suitable for MSRS requiring fast maneuverability due to its small volume, short stabilization time and low price. However, using a geomagnetic sensor may result in an error due to the surrounding magnetic field. Errors can make early automatic tracking of the satellites difficult and can reduce the radar detection accuracy. Therefore, this paper proposes a method to automatically compensate for the error reflecting the correction value on the radar obtained by comparing the reference azimuth calculated by solving the geodesic inverse problem using two coordinates between the radar and the geostationary satellite with the actually-directed azimuth angle of the satellite antenna. The feasibility and convenience of the proposed method were verified by applying it to the MSRS in the field.

• The Journal of Korean Institute of Electromagnetic Engineering and Science
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• v.25 no.5
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• pp.532-541
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• 2014

The ship-borne mobile down range telemetry antenna system having 4.6 m reflector antenna and 3-axis mounting structure at S-band requires the precise pointing accuracy at sea for the launch mission. Using the LEO satellites tracking, a method to determine and verify the antenna pointing and tracking performance, and to find the pointing bias which dominantly contributes to the pointing inaccuracy, is presented. Based upon the tests conducted on the Jeju sea and Pacific sea, the pointing bias is determined and its origin is also identified as the drift of the heading angle of the gyrocompass. The applied systematic correction taking into account the pointing bias, and the achieved improvement of the pointing accuracy are shown. Thanks to the correction, it is presented that this antenna tracked the launcher(KSLV-I) stably within the required pointing accuracy in the following KSLV-I third launch.