• 제목/요약/키워드: Autonomous Navigation System

검색결과 501건 처리시간 0.023초

RF Compatibility Analysis of GNSS and KPS Signals at L6/S-band

  • Lee, Subin;Han, Kahee;Won, Jong-Hoon
    • Journal of Positioning, Navigation, and Timing
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    • 제10권1호
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    • pp.21-28
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    • 2021
  • In order to develop a Korea Positioning System (KPS) as part of key national infrastructure, independent navigation signal design is essential. The designed signal candidates must coexist with existing or planned GNSS signals within the limited frequency band. This requires a RF compatibility assessment, which can be performed using the Spectral Separation Coefficient (SSC) and Effective Carrier to Noise Density Ratio (Effective C/N0), for navigation signals. Thus, in this paper, the analysis of RF compatibility between the designed signal candidates and the existing GNSS signals is carried out based on analytical and numerical techniques.

Design of a Fully Reconfigurable Multi-Constellation and Multi-Frequency GNSS Signal Generator

  • ByungHyun Choi;Young-Jin Song;Subin Lee;Jong-Hoon Won
    • Journal of Positioning, Navigation, and Timing
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    • 제12권3호
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    • pp.295-306
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    • 2023
  • This paper presents a multi-frequency and multi-constellation Global Navigation Satellite System (GNSS) signal generator that simulates intermediate frequency level digital signal samples for testing GNSS receivers. GNSS signal generators are ideally suited for testing the performance of GNSS receivers and algorithms under development in the laboratory for specific user locations and environments. The proposed GNSS signal generator features a fully-reconfigurable structure with the ability to adjust signal parameters, which is beneficial to generate desired signal characteristics for multiple scenarios including multi-constellation and frequencies. Successful signal acquisition, tracking, and navigation are demonstrated on a verified Software Defined Radio (SDR) in this study. This work has implications for future studies and advances the research and development of new GNSS signals.

GPS 기반의 초소형 무인선박을 위한 자율항법 알고리즘 개발 (Development of Autonomous Navigation Algorithm for Very Small Unmanned Surface Vehicle based on GPS)

  • 김효일;전승환
    • 한국항해항만학회지
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    • 제33권5호
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    • pp.303-308
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    • 2009
  • 최근 항공기, 자동차, 선박을 포함하여 다양한 분야에서 무인시스템에 관한 연구 개발이 이루어지고 있다. 우리나라에서도 IT 기술의 발달과 함께 무인시스템에 관한 연구가 활발히 진행되고 있지만 아직 개발 실적은 미미한 수준이다. 이 연구에서는 바지(barge)선형의 초소형자율 무인선박(USV)을 개발하고자 하였다. 자율항법 알고리즘 개발에 GPS센서의 위치 정보를 기반으로 대권항법 계산식을 적용하였으며, 프로그래밍은 NI사의 LabVIEW 8.2를 이용하였다. 조타제어는 펄스진폭변조 방식으로 하였다. 또한, 엔진시스템은 전동모터 및 전자 변속기로 구성하였고, 엔진시스템 냉각방식으로 DC모터펌프를 이용한 해수 직접냉각방식을 채용하였다. 무인선박을 자체 설계 제작하고, 해상실험을 통해 자율운항 알고리즘의 유효성을 검증하였다.

자이로스코프와 차등 엔코더를 사용한 이동로보트의 추측항법 시스템 (Dead reckoning navigation system for autonomous mobile robot using a gyroscope and a differential encoder)

  • 박규철;정학영;이장규
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1997년도 한국자동제어학술회의논문집; 한국전력공사 서울연수원; 17-18 Oct. 1997
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    • pp.241-244
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    • 1997
  • A dead reckoning navigation system is developed for autonomous mobile robot localization. The navigation system was implemented by novel sensor fusion using a Kalman filter. A differential encoder and the gyroscope error models are developed for the filter. An indirect Kalman filter scheme is adopted to reduce the computational burden and to enhance the navigation system reliability. The filter mutually compensates the encoder errors and the gyroscope errors. The experimental results show that the proposed mobile . robot navigation algorithm provides the reliable position and heading angle of the mobile robot without any help of the external positioning systems.

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Improvement on the Image Processing for an Autonomous Mobile Robot with an Intelligent Control System

  • Kubik, Tomasz;Loukianov, Andrey A.
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2001년도 ICCAS
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    • pp.36.4-36
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    • 2001
  • A robust and reliable path recognition system is one necessary component for the autonomous navigation of a mobile robot to help determining its current position in its navigation map. This paper describes a computer visual path-recognition system using on-board video camera as vision-based driving assistance for an autonomous navigation mobile robot. The common problem for a visual system is that its reliability was often influenced by different lighting conditions. Here, two different image processing methods for the path detection were developed to reduce the effect of the luminance: one is based on the RGB color model and features of the path, another is based on the HSV color model in the absence of luminance.

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Development of Dual Mode (Autonomous and Remote Control) Unmanned Surface Vehicle

  • Kim, Hyo-Il;Jun, Seung-Hwan;Moon, Serng-Bae
    • Journal of Advanced Marine Engineering and Technology
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    • 제34권3호
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    • pp.376-382
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    • 2010
  • These days, a study on 'Unmanned Surface Vehicle (USV)' has made very active progress in many countries. Even if it is being expected that there will be a great demand of USV for wide field, such as military operation, private sector, and etc., the study of USV in Korea is still at an early stage. For this reason, we have made a very small USV which is composed of dual mode (autonomous and remote control). The TCP/IP communication is applied to the USV.

자율무인잠수정의 자세계측장치의 개발 (Development of Motion Reference Unit for Autonomous Underwater Vehicle)

  • 김도현;오준호
    • 한국정밀공학회지
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    • 제15권1호
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    • pp.101-108
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    • 1998
  • This paper concerns the navigation algorithm of motion reference unit (MRU) for autonomous underwater vehicle (AUV) We apply the strapdown navigation system using middle level inertial sensors. But, because the MRU consists of inertial sensors, the values of AUV motion calculated by navigation computer are increased by drift property of inertial sensors. Therefore, we propose the attitude algorithm using switching method according to the motion of AUV From this algorithm, the drift terms are eliminated effectively for roll and pitch. But, another device is required for yaw angle.

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로봇운영체제를 이용한 보트의 자율운항 알고리즘 개발 (Development of Autonomous Algorithm for Boat Using Robot Operating System)

  • 조현재;김정현;김수림;우주현;박종용
    • 대한조선학회논문집
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    • 제58권2호
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    • pp.121-128
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    • 2021
  • According to the increasing interest and demand for the Autonomous Surface Vessels (ASV), the autonomous navigation system is being developed such as obstacle detection, avoidance, and path planning. In general, autonomous navigation algorithm controls the ship by detecting the obstacles with various sensors and planning path for collision avoidance. This study aims to construct and prove autonomous algorithm with integrated various sensor using the Robot Operating System (ROS). In this study, the safety zone technique was used to avoid obstacles. The safety zone was selected by an algorithm to determine an obstacle-free area using 2D LiDAR. Then, drift angle of the ship was controlled by the propulsion difference of the port and starboard side that based on PID control. The algorithm performance was verified by participating in the 2020 Korea Autonomous BOAT (KABOAT).

Design of Multisensor Navigation System for Autonomous Precision Approach and Landing

  • Soon, Ben K.H.;Scheding, Steve;Lee, Hyung-Keun;Lee, Hung-Kyu
    • 한국항해항만학회:학술대회논문집
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    • 한국항해항만학회 2006년도 International Symposium on GPS/GNSS Vol.1
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    • pp.377-382
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    • 2006
  • Precision approach and landing of aircraft in a remote landing zone autonomously present several challenges. Firstly, the exact location, orientation and elevation of the landing zone are not always known; secondly, the accuracy of the navigation solution is not always sufficient for this type of precision maneuver if there is no DGPS availability within close proximity. This paper explores an alternative approach for estimating the navigation parameters of the aircraft to the landing area using only time-differenced GPS carrier phase measurement and range measurements from a vision system. Distinct ground landmarks are marked before the landing zone. The positions of these landmarks are extracted from the vision system then the ranges relative to these locations are used as measurements for the extended Kalman filter (EKF) in addition to the precise time-differenced GPS carrier phase measurements. The performance of this navigation algorithm is demonstrated using simulation.

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