보행자의 실내 위치 추정 정확도 향상을 위한 다양한 센서 정보 필터
Sensor Information Filter for Enhancing the Indoor Pedestrian Localization Accuracy
1
조회
0
다운로드
4
인용
0
참고문헌
키워드
초록
Due to the low localization accuracy and the requirement of special infrastructure, current LBS(Localization Based Service) is limited to show P.O.I.(Point of Interest) nearby. Improvement of IMU(Inertial Measurement Unit) based deadreckoning is presented in this paper. Additional sensors such as the magnetic compass and magnetic flux sensors are used as well as the accelerometer and the gyro for getting more information of movement. Based on the pedestrian movement, appropriate sensor information is selected and the complementary filter is used in order to enhance the accuracy of the localization.
Abstract
Due to the low localization accuracy and the requirement of special infrastructure, current LBS(Localization Based Service) is limited to show P.O.I.(Point of Interest) nearby. Improvement of IMU(Inertial Measurement Unit) based deadreckoning is presented in this paper. Additional sensors such as the magnetic compass and magnetic flux sensors are used as well as the accelerometer and the gyro for getting more information of movement. Based on the pedestrian movement, appropriate sensor information is selected and the complementary filter is used in order to enhance the accuracy of the localization.
참고문헌 (14)
- G. Chung, "Technical Trend of the Location based Service for the Smartphone", The Journal of Telecommunications Technology Association, 130, pp.75~81 (2010)
- Lashkari, A.H, "WIFI-Based Indoor Positioning System", Computer and Network Technology (ICCNT), 2010 Second International Conference on, pp.76~78 (2010)
- Ni, L. M., "LANDMARC: indoor location sensing usingactive RFID", Pervasive Computing and Communications, pp.407~415 (2003)
- 김희승, "인공표식을 사용한 실내보행자의 위치 추정 시스템", 한국차세대컴퓨팅학회 논문지, 6(1), pp.42~48 (2010), 한국차세대컴퓨팅학회
- Jaewoo Chung, "Indoor Location Sensing Using Geo-Magnetism", Proceedings of the 9th international conference on Mobile systems, applications (MobiSys, 2011), and services, pp.141~154 (2011)
- Chung, J, "Guiding Light: Navigation Assistance System Using Projection Based Augmented Reality", In Procedding of 2011 IEEE International Conference on Consumer Electronics (2011)
- Stephane Beauregard, "Pedestrian Dead Reckoning: A Basis for Personal Positioning", proceedings of the 3rd workshop on positioning, navigation and communication (WPNC’06), pp.27~36 (2006)
- S. H. Shin, "Pedestrian Dead Reckoning System with Phone Location Awareness Algorithm", Position Location and Navigation Symposium (PLANS, IEEE, 2010, 97~101
- S. Shin, "Step Length Estimation Algorithms Using the Sensor Module Equipped on the Shoe", The 12th GNSS Workshop (2005)
- S. K. Hong, "Angle measurements for mobile robots with filtering of short-term noise in inertial sensors", Transactions of the Institute of Measurement and Control, 33, pp.650~664 (2010)
- 홍성경, "실내 자율형 주행로봇의 자기위치 추정을 위한 보상필터 설계", 제어.로봇.시스템학회 논문지, 16(11), pp.1110~1116 (2010), 제어·로봇·시스템학회
- K.Abdulrahim, "Aiding MEMS IMU with Building Heading for Indoor Pedestrian Navigation", Ubiquitous Positioning Indoor Navigation and Location Based Service (UPINLBS, IEEE 2010), pp.1~6 (2010)
- 서영수, "Pedestrian inertial navigation with gait phase detection assited zero velocity updating", 4th International Conference on Autonomous Robots and Agents, pp.336~341 (2009), Massey Univeristy
- Lauro Ojeda, "Non-GPS Navigation for Security Personnel and First Responders", Journal of Navigation, 60(3), pp.391~407 (2007)