• Title/Summary/Keyword: 험로용 차량

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Collision Avoidance Algorithm and System Development for Unmanned Driving Safety of All Terrain Vehicle (무인 운항 시스템의 주행안전을 위한 충돌회피 시스템과 알고리즘 개발)

  • Yun, Duk-Sun;Lim, Ha-Young;Yu, Hwan-Sin;Kim, Jung-Ha
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.33 no.10
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    • pp.104-110
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    • 2005
  • In this paper, unmanned vehicle system and VFF algorithm development with vehicle dynamics is the main topic as a part of Intelligent Transportation System. Unmanned vehicle system is classified by vehicle system and control system. Authors used RC servo motor for longitudinal control via throttle angle, shift lever control, and brake control. For lateral control, authors used step motor, equipped with reduction gear. Unmanned vehicle has nine ultrasonic sensors in front of the unmanned vehicle. After the microcontroller computes the distance between unmanned vehicle and obstacle, the control computer calculates the steering angle enough to avoid the obstacle.

Fuzzy Algorithm Development for the Integration of Vehicle Simulator with All Terrain Unmanned Vehicle (험로 주행용 무인차량과 차량 시뮬레이터의 융합을 위한 퍼지 알고리즘 개발)

  • Yun, Duk-Sun;Yu, Hwan-Sin;Lim, Ha-Young
    • Journal of Intelligence and Information Systems
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    • v.11 no.2
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    • pp.47-57
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    • 2005
  • In this research, the main theme is the system integration of driving simulator and unmanned vehicle. The total system is composed of the mater system and the slave system. The master system has a cockpit system and the driving simulator. The slave system means an unmanned vehicle, which is composed of the actuator system the sensory system and the vision system. The communication system is composed of RS-232C serial communication system which combines the master system with the slave system. To integrate both systems, the signal classification and system characteristics considered DSP(Digital Signal Processing) filter is designed with signal sampling and measurement theory. In addition, to simulate the motion of tele-operated unmanned vehicle on the driving simulator, the classical washout algorithm is applied to this filter, because the unmanned vehicle does not have a limited working space, while the driving simulator has a narrow working space and it is difficult to cover all the motion of the unmanned vehicle. Because the classical washout algorithm has a defect of fixed high pass later, fuzzy logic is applied to reimburse it through an adaptive filter and scale factor for realistic motion generation on the driving simulator.

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