Robust Misalignment Handling in Pedestrian Dead Reckoning

作者: Jayaprasad Bojja , Jussi Parviainen , Jussi Collin , Riku Hellevaara , Jani Kappi

DOI: 10.1109/VTCFALL.2016.7881205

关键词:

摘要: Modern mobile devices consists various sensors such as accelerometers and gyroscopes that can be used to aid complement Global Navigation Satellite System position velocity updates. Especially these are now capable of providing good navigation solutions for pedestrians with competitive battery power consumption when compared radio systems. In order achieve this energy efficiency, the could primarily based on onboard inertial alone, additional aiding systems GNSS or indoor map only requested, initialize starting position. One most critical problems in device is inability accurately estimate misalignment between pedestrian walking direction orientation, eventually causing algorithm output wrong location solution. paper we propose methods detect situations means reduce errors due estimation error.

参考文章(21)
Jayaprasad Bojja, Jussi Collin, Simo Sarkka, Jarmo Takala, Pedestrian localization in moving platforms using dead reckoning, particle filtering and map matching international conference on acoustics, speech, and signal processing. pp. 1116- 1120 ,(2015) , 10.1109/ICASSP.2015.7178143
Isaac Skog, Peter Handel, Johan Wahlstrom, IMU alignment for smartphone-based automotive navigation international conference on information fusion. pp. 1437- 1443 ,(2015)
Robert Nakata, Isar Mostafanezhad, Victor Lubecke, Wearable sensor system for monitoring body kinematics international microwave symposium. pp. 1- 4 ,(2015) , 10.1109/MWSYM.2015.7166892
Kamil Kloch, Paul Lukowicz, Carl Fischer, Collaborative PDR Localisation with Mobile Phones international symposium on wearable computers. pp. 37- 40 ,(2011) , 10.1109/ISWC.2011.16
Ulrich Steinhoff, Bernt Schiele, Dead reckoning from the pocket - An experimental study ieee international conference on pervasive computing and communications. pp. 162- 170 ,(2010) , 10.1109/PERCOM.2010.5466978
Deepak Pai, Inguva Sasi, Phani Shekhar Mantripragada, Mudit Malpani, Nitin Aggarwal, Padati: A Robust Pedestrian Dead Reckoning System on Smartphones trust security and privacy in computing and communications. pp. 2000- 2007 ,(2012) , 10.1109/TRUSTCOM.2012.218
Melania Susi, Valérie Renaudin, Gérard Lachapelle, Motion Mode Recognition and Step Detection Algorithms for Mobile Phone Users Sensors. ,vol. 13, pp. 1539- 1562 ,(2013) , 10.3390/S130201539
Ian Sharp, Kegen Yu, Sensor-based dead-reckoning for indoor positioning Physical Communication. ,vol. 13, pp. 4- 16 ,(2014) , 10.1016/J.PHYCOM.2013.11.013
Tinh Do-Xuan, Vinh Tran-Quang, Tuy Bui-Xuan, Vinh Vu-Thanh, Smartphone-based pedestrian dead reckoning and orientation as an indoor positioning system autonomic and trusted computing. pp. 303- 308 ,(2014) , 10.1109/ATC.2014.7043402
Masakatsu Kourogi, Takeshi Kurata, A method of pedestrian dead reckoning for smartphones using frequency domain analysis on patterns of acceleration and angular velocity ieee/ion position, location and navigation symposium. pp. 164- 168 ,(2014) , 10.1109/PLANS.2014.6851371