Journal of Institute of Control, Robotics and Systems (제어로봇시스템학회논문지)

Institute of Control, Robotics and Systems (제어로봇시스템학회)
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The Research of Unmanned Autonomous Navigation's Map Matching using Vehicle Model and LIDAR

차량 모델 및 LIDAR를 이용한 맵 매칭 기반의 야지환경에 강인한 무인 자율주행 기술 연구

  • 박재웅 (국민대학교 자동차공학전문대학원) ;
  • 김재환 (국민대학교 자동차공학전문대학원) ;
  • 김정하 (국민대학교 자동차공학과)
  • Received : 2011.02.20
  • Accepted : 2011.03.29
  • Published : 2011.05.01
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Abstract

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.

Keywords

References

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