본문 바로가기
KERD
논문KCI 등재

센서융합을 이용한 모바일로봇 실내 위치인식 기법

An Indoor Localization of Mobile Robot through Sensor Data Fusion

2

조회

0

다운로드

0

인용

0

참고문헌

키워드

초록

This paper proposes a low-complexity indoor localization method of mobile robot under the dynamic environment by fusing the landmark image information from an ordinary camera and the distance information from sensor nodes in an indoor environment, which is based on sensor network. Basically, the sensor network provides an effective method for the mobile robot to adapt to environmental changes and guides it across a geographical network area. To enhance the performance of localization, we used an ordinary CCD camera and the artificial landmarks, which are devised for self-localization. Experimental results show that the real-time localization of mobile robot can be achieved with robustness and accurateness using the proposed localization method.

Abstract

This paper proposes a low-complexity indoor localization method of mobile robot under the dynamic environment by fusing the landmark image information from an ordinary camera and the distance information from sensor nodes in an indoor environment, which is based on sensor network. Basically, the sensor network provides an effective method for the mobile robot to adapt to environmental changes and guides it across a geographical network area. To enhance the performance of localization, we used an ordinary CCD camera and the artificial landmarks, which are devised for self-localization. Experimental results show that the real-time localization of mobile robot can be achieved with robustness and accurateness using the proposed localization method.

참고문헌 (12)

  1. Roy Want, "The active badge location system", ACM Transactions on Office Information Systems, 10(1), pp.91~102 (1992)
  2. Andy Harter, "The anatomy of a context-aware application", pp.1999, in Proceedings of the 5th Annual ACM
  3. P. Bahl, "RADAR: An In-Building RF-Based User Location and Tracking System" (2000), in Proceedings of IEEE Infocom
  4. Y. Fukuju, "DOLPHIN: An Autonomous Indoor Positioning System in Ubiquitous Computing Environment" (2003), in Proceedings of the IEEE Workshop on Software Technologies for Future Embedded Systems
  5. Nissanka B. Priyantha, "The Cricket Location-Support System" (2000), in Proceedings of the 6th ACM MOBICOM
  6. S. Se, "Vision-Based global localization and mapping for mobile robots", Proc. Of IEEE Transactions on Robotics, 21, pp.217~226 (2005)
  7. Y. Kim, "Ubiquitous Home Security Robot based on Sensor Network" (2006), The 2006 IEEE - WIC - ACM International Conference on Intelligent Agent Technology
  8. "Cricket Project MIT Computer Science and Artificial Intelligence Lab"[URL]
  9. G. Jang, "Color Landmark Based Self-Localization for Indoor Mobile Robots" (2002), IEEE International Conference on Robotics and Automation
  10. S. Thrun, "Finding landmarks for mobile robot navigation", Proc. of IEEE International Conference on Robotics and Automation, 2, pp.958~963 (1998)
  11. Huoshehg Hu, "Landmark-based Navigation of Industrial Mobile Robots", International Journal of Industry Robot, 27(6), pp.458~467 (2000)
  12. D. Kang, "Digital Image Processing Using VC++" (2005), SciTech

관련 논문AI추천

이 간행물의 다른 논문 (9건)