TY - GEN
T1 - Using floor plan to calibrate sensor error for indoor localization
AU - Lan, Kun-Chan
AU - Shih, Wen Yuah
PY - 2013/1/1
Y1 - 2013/1/1
N2 - Some prior studies proposed the use of Pedestrian Dead Reckoning (PDR) for indoor localization, in which a small number of inertial sensors are put on the pedestrian. These sensors (such as a G-sensor and gyroscope) are used to estimate the distance and direction that a user travels. The effectiveness of a PDR system lies in its success in accurately estimating the user's moving distance and direction. In this work, we design a map matching algorithm to calibrate the sensor errors using building floor plans. The results of our experiment show that we can achieve an overall location error of about 0.48 meter.
AB - Some prior studies proposed the use of Pedestrian Dead Reckoning (PDR) for indoor localization, in which a small number of inertial sensors are put on the pedestrian. These sensors (such as a G-sensor and gyroscope) are used to estimate the distance and direction that a user travels. The effectiveness of a PDR system lies in its success in accurately estimating the user's moving distance and direction. In this work, we design a map matching algorithm to calibrate the sensor errors using building floor plans. The results of our experiment show that we can achieve an overall location error of about 0.48 meter.
UR - http://www.scopus.com/inward/record.url?scp=84899446164&partnerID=8YFLogxK
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U2 - 10.1109/ICTC.2013.6675461
DO - 10.1109/ICTC.2013.6675461
M3 - Conference contribution
AN - SCOPUS:84899446164
SN - 9781479906987
T3 - International Conference on ICT Convergence
SP - 718
EP - 723
BT - 2013 International Conference on ICT Convergence
PB - IEEE Computer Society
T2 - 2013 International Conference on Information and Communication Technology Convergence, ICTC 2013
Y2 - 14 October 2013 through 16 October 2013
ER -