• Title/Summary/Keyword: unmanned ground vehicle

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Modified $A^*$ - 방향별 속도지도를 활용한 무인차량의 지역경로계획 (Modified $A^*$ - Local Path Planning Method using Directional Velocity Grid Map for Unmanned Ground Vehicle)

  • 이영일;이호주;박용운
    • 한국군사과학기술학회지
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    • 제14권3호
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    • pp.327-334
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    • 2011
  • It is necessary that UGV(Unmanned Ground Vehicle) should generate a real-time travesability index map by analyzing raw terrain information to travel autonomously tough terrain which has various slope and roughness values. In this paper, we propose a local path planning method, $MA^*$(Modified $A^*$) algorithm, using DVGM (Directional Velocity Grid Map) for unmanned ground vehicle. We also present a path optimization algorithm and a path smoothing algorithm which regenerate a pre-planned local path by $MA^*$ algorithm into the reasonable local path considering the mobility of UGV. Field test is conducted with UGV in order to verify the performance of local path planning method using DVGM. The local path planned by $MA^*$ is compared with the result of $A^*$ to verify the safety and optimality of proposed algorithm.

무인자율차량을 위한 경로계획 알고리즘 및 시뮬레이터 개발 (Developments of a Path Planning Algorithm and Simulator for Unmanned Ground Vehicle)

  • 김상겸;김성균;이용우
    • 한국자동차공학회논문집
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    • 제15권3호
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    • pp.1-9
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    • 2007
  • A major concern for Autonomous Military Robot in the rough terrain is the problem of moving robot from an initial configuration to goal configuration. In this paper, We generate a local path to looking for the best route to move an goal configuration while avoiding known obstacle from world model, not violating the mobility constraints of robot. Trough a Simulator for Unmanned Autonomous Vehicle, We can simulate a traversability of unmanned autonomous vehicle based on steering, acceleration, braking command obtained from local path planning.

충돌회피 및 차선추적을 위한 무인자동차의 제어 및 모델링 (Unmanned Ground Vehicle Control and Modeling for Lane Tracking and Obstacle Avoidance)

  • 유환신;김상겸
    • 한국항행학회논문지
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    • 제11권4호
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    • pp.359-370
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    • 2007
  • 무인 자동차 시스템에 있어 차선추적과 물체회피 기술은 중요한 핵심기술 이다. 본 논문에서는 차량제어와 모델링, 센서 실험을 통하여 차선추적 및 물체회피 방법을 제안하고자 한다. 첫 번째 물체회피는 가/감속을 위한 종 방향 제어와 조향제어에 의한 횡 방향 제어 두 개의 부분으로 구성되어 진다. 각각의 시스템은 무인자동차의 제어를 위하여 차량의 위치, 주변환경 인식, 상황에 따른 빠른 처리를 요구한다. 차량의 제어 전략이 작동되는 동안 도로에서의 물체인식과 회피는 차량의 속도에 달려 있다. 두 번째 영상시스템을 통한 차선추석방법을 설명한다. 이 또한 두 부분으로 구성된다. 첫 번째 횡/종 제어를 위한 로도 모델이 포함된다. 두 번째 차선추적방법, 영상처리 알고리즘, 필터링 방법 및 영상처리 방법을 다룰 것이다. 마지막으로 본 논문에서는 실차실험을 통한 차선추적 및 물체회피 차량제어 및 모델링 방법을 제안한다.

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두 개의 광류센서를 이용한 소형무인로봇의 위치 추정 기술 (Localization with Two Optical Flow Sensors for Small Unmanned Ground Vehicles)

  • 허진욱;강신천;현동준
    • 한국군사과학기술학회지
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    • 제16권2호
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    • pp.95-100
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    • 2013
  • Localization is very important for the autonomous navigation of Unmanned Ground Vehicles; however, it is difficult that they have a precise Inertial Navigation System(INS) sensor, especially Small Unmanned Ground Vehicle(SUGV). Moreover, there are some condition such as denial of global position system(GPS), GPS/INS integrated system is not robust. This paper proposes the estimation algorithm with optical flow sensor and INS. Being compared with previous researches, the proposed algorithm is suitable for skid steering vehicles. We revised the measurement model of previous research for the accuracy of side direction position. Experimental results were performed to verify the algorithm, and the result showed an excellent performance.

차량 모델 및 LIDAR를 이용한 맵 매칭 기반의 야지환경에 강인한 무인 자율주행 기술 연구 (The Research of Unmanned Autonomous Navigation's Map Matching using Vehicle Model and LIDAR)

  • 박재웅;김재환;김정하
    • 제어로봇시스템학회논문지
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    • 제17권5호
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    • pp.451-459
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    • 2011
  • Fundamentally, there are 5 systems are needed for autonomous navigation of unmanned ground vehicle: Localization, environment perception, path planning, motion planning and vehicle control. Path planning and motion planning are accomplished based on result of the environment perception process. Thus, high reliability of localization and the environment perception will be a criterion that makes a judgment overall autonomous navigation. In this paper, via map matching using vehicle dynamic model and LIDAR sensors, replace high price localization system to new one, and have researched an algorithm that lead to robust autonomous navigation. Finally, all results are verified via actual unmanned ground vehicle tests.

무인항공기 운용을 위한 이동형 지상제어 시스템 개발 (Development of Portable Ground Control System for Operation of Unmanned Aerial Vehicle)

  • 이장호;유혁;김재은;안이기
    • 한국항공우주학회지
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    • 제32권10호
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    • pp.127-133
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    • 2004
  • 본 논문은 무인항공기의 자동비행을 위한 이동형 지상제어 시스템 개발에 관한 연구이다. 본 연구에서는 휴대와 이동을 수월하게 하기 위한 이동형 지상제어시스템 (PGCS)을 개발하였다. 일반적으로 지상제어시스템은 항공기가 수행해야할 임무정보를 전송하고, 원활한 조종을 위하여 항공기 위치, 자세, 상태, 항법 정보를 항공기로부터 실시간 수신할 수 있어야 한다. 이동형 지상제어시스템 구성은 노트북 컴퓨터, 지상제어시스템과 항공기간의 통신을 위한 모뎀, 입/출력 보드, 무선조종 수신기 그리고 여러 개의 스위치와 LED 램프로 구성된다. 소형 무인항공기를 이용한 비행시험으로서 본 연구에서 개발한 이동형 지상제어시스템 성능 검증을 수행하였다.

레이저 레이다를 이용한 무인차량의 지도생성 알고리즘 개발 (The Development of a Map Building Algorithm using LADAR for Unmanned Ground Vehicle)

  • 이정엽;이상훈;김정하;한창수
    • 제어로봇시스템학회논문지
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    • 제15권12호
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    • pp.1246-1253
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    • 2009
  • To be high efficient for a navigation of unmanned ground vehicle, it must be able to distinguish between safe and hazardous regions in its immediate environment. We present an advanced method using laser range finder for building global 2D digital maps that include environment information. Laser range finder is used for mapping of obstacles and driving environment in the 2D laser plane. Rotary encoders are used for localization of UGV. The main contributions of this research are the development of an algorithm for global 2D map building and it will turn a UGV navigation based on map matching into a possibility. In this paper, a map building algorithm will be introduced and an assessment of algorithm reliability is judged at an each environment.

무인차량의 주행성분석을 위한 방향별 속도지도 생성 (The Generation of Directional Velocity Grid Map for Traversability Analysis of Unmanned Ground Vehicle)

  • 이영일;이호주;지태영
    • 한국군사과학기술학회지
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    • 제12권5호
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    • pp.549-556
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    • 2009
  • One of the basic technology for implementing the autonomy of UGV(Unmanned Ground Vehicle) is a path planning algorithm using obstacle and raw terrain information which are gathered from perception sensors such as stereo camera and laser scanner. In this paper, we propose a generation method of DVGM(Directional Velocity Grid Map) which have traverse speed of UGV for the five heading directions except the rear one. The fuzzy system is designed to generate a resonable traveling speed for DVGM from current patch to the next one by using terrain slope, roughness and obstacle information extracted from raw world model data. A simulation is conducted with world model data sampled from real terrain so as to verify the performance of proposed fuzzy inference system.

Ironbird Ground Test for Tilt Rotor Unmanned Aerial Vehicle

  • Hwang, Soo-Jung;Choi, Seong-Wook
    • International Journal of Aeronautical and Space Sciences
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    • 제11권4호
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    • pp.313-318
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    • 2010
  • The power plant system of a tilt rotor unmanned aerial vehicle (UAV) was verified by the Ironbird ground test, which considerably reduces cost and risk during the developmental stages. The function and performance of the engine, drive line, nacelle conversion, and rotor systems were evaluated using a building block test approach. The Ironbird test concept facilitates the discovery of potential faults in earlier stages of the testing period. As a result, the developmental testing period could effectively be shortened. The measured test data acquired through a ground control and data acquisition system exhibited satisfactory results which meet the developmental specifications of a tilt rotor UAV.