Motion-Awareness 3D PDR System in GPS-Denied Environment using Smartphone

Beomju Shin, Jung Ho Lee, Jae Hun Kim, Chulki Kim, Seok Lee, Young Tai Byun, Doohee Yun and Taikjin Lee

Abstract:	In this paper, we present the motion-awareness 3D PDR system for indoor navigation using smartphone. In existing MEMS based PDR system, because MEMS is mounted on shoes or helmet, the sensor axes are fixed regardless of user motion. But in case of using smartphone, the axes of sensor are changed according to the user walking motion. To overcome this condition, we detect the walking motion using pattern recognition algorithm with sensor measurements from smarthphone and apply different PDR algorithms according to the walking motion. The height information of pedestrian is also estimated using the barometric pressure sensor in the smartphone. The 3D position which is consisted of 2D PDR position and height information is provided to the pedestrian. Our system has several advantages in cost and availability. No peripheral devices are needed for localization except smartphone because it contains the sensors used for the localization such as accelerometer, magnetometer, barometer and gyroscope and Wi-Fi card. We developed the android based application and experimental results show the accurate positioning and tracking performance.
Published in:	Proceedings of the 25th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS 2012) September 17 - 21, 2012 Nashville Convention Center, Nashville, Tennessee Nashville, TN
Pages:	3163 - 3168
Cite this article:	Shin, Beomju, Lee, Jung Ho, Kim, Jae Hun, Kim, Chulki, Lee, Seok, Byun, Young Tai, Yun, Doohee, Lee, Taikjin, "Motion-Awareness 3D PDR System in GPS-Denied Environment using Smartphone," Proceedings of the 25th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS 2012), Nashville, TN, September 2012, pp. 3163-3168.
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