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실내 자율주행에 적합한 SLAM과 전역경로생성 방법을 적용한 휠체어로봇 구현

Implementation of Wheelchair Robot Applying SLAM and Global Path Planning Methods Suitable for Indoor Autonomous Driving

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초록

This paper presents how to create a 3D map and solve problems related to generating a global path planning for navigation. Map creation and localization were performed using the RTAB-Map package to create a 3D map of the environment. In addition, when the target point is within the obstacle space, the problem of not generating a global path was solved using the asr_navfn package. The performance of the proposed system is validated through experiments with a wheelchair-type robot.

Abstract

This paper presents how to create a 3D map and solve problems related to generating a global path planning for navigation. Map creation and localization were performed using the RTAB-Map package to create a 3D map of the environment. In addition, when the target point is within the obstacle space, the problem of not generating a global path was solved using the asr_navfn package. The performance of the proposed system is validated through experiments with a wheelchair-type robot.

참고문헌 (18)

  1. 곽노산, "Rao-Blackwellized 파티클 필터를 이용한 이동로봇의 위치 및 환경 인식 결과 도출", 로봇학회 논문지, 3(4), pp.308~314 (2008), 한국로봇학회
  2. 김한솔, "Visual SLAM을 통해 획득한 공간 지도의 완성도 평가 시스템", 멀티미디어학회논문지, 22(4), pp.417~423 (2019), 한국멀티미디어학회[DOI]
  3. S. Thrun, "The Graph SLAM Algorithm with Applications to Large-scale Mapping of Urban Structures", International Journal of Robotics Research, 25(5-6), pp.403~429 (2006)
  4. 송재복, "SLAM 기술의 과거와 현재", 제어.로봇.시스템학회 논문지, 20(3), pp.372~379 (2014), 제어·로봇·시스템학회[DOI]
  5. R. Mur-Artal, "ORB-SLAM : a Versatile and Accurate Monocular SLAM System", IEEE Tran. Robotics, 31(5), pp.1147~1163 (2015)
  6. N. Ragot, "Benchmark of Visual Slam Algorithms : Orb-slam2 vs Rtab-map", International Conference on Emerging Security Technologies, pp.1~6 (2019)
  7. M. Al-Nuaimi, "Hybrid Verification Technique for Decision-making of Self-driving Vehicles", Journal of Sensor and Actuator Networks, 10(3), pp.42~ (2021)
  8. S. Byeon, "A Resampling Method to Improve the Performance of AMCL Under a few Features Environment", Workshop of Korean Institute of Electrical Engineers, pp.162~165 (2021)
  9. M. Labbé, "Long-term Online Multi-session Graph-based SPLAM with Memory Management", Autonomous Robots, 42(6), pp.1133~1150 (2018)

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