Title :
In-situ sensor information filtering for pedestrian localization
Author :
Jooyoung Kim ; Minjae Choi ; Sooyong Lee
Author_Institution :
Dept. of Mech. & Syst. Design Eng., Hongik Univ., Seoul, South Korea
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 dead reckoning 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 movement information. Based on the pedestrian movement, appropriate sensor information is selected and the Kalman filter and the complementary filter are used in order to enhance the accuracy of the localization.
Keywords :
Kalman filters; accelerometers; gyroscopes; inertial systems; magnetic sensors; mobile computing; pedestrians; IMU; Kalman filter; LBS; POI; accelerometer; dead reckoning; gyro; in-situ sensor information filtering; inertial measurement unit; localization accuracy; localization based service; magnetic compass; magnetic flux sensors; pedestrian localization; pedestrian movement; point of interest; sensor information; Accelerometers; Compass; Dead reckoning; Information filters; Magnetic separation; Robot sensing systems; Complementary Filter; Dead-reckoning; Inertial Measurement Unit; Pedestrian Localization;
Conference_Titel :
Ubiquitous Robots and Ambient Intelligence (URAI), 2012 9th International Conference on
Conference_Location :
Daejeon
Print_ISBN :
978-1-4673-3111-1
Electronic_ISBN :
978-1-4673-3110-4
DOI :
10.1109/URAI.2012.6463106
