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Items: 1 to 20 of 111

1.

Improving inertial Pedestrian Dead-Reckoning by detecting unmodified switched-on lamps in buildings.

Jiménez AR, Zampella F, Seco F.

Sensors (Basel). 2014 Jan 3;14(1):731-69. doi: 10.3390/s140100731.

2.

PDR with a foot-mounted IMU and ramp detection.

Jiménez AR, Seco F, Zampella F, Prieto JC, Guevara J.

Sensors (Basel). 2011;11(10):9393-410. doi: 10.3390/s111009393. Epub 2011 Sep 29.

3.

Indoor localization using pedestrian dead reckoning updated with RFID-based fiducials.

House S, Connell S, Milligan I, Austin D, Hayes TL, Chiang P.

Conf Proc IEEE Eng Med Biol Soc. 2011;2011:7598-601. doi: 10.1109/IEMBS.2011.6091873.

PMID:
22256097
4.

On calibrating the sensor errors of a PDR-based indoor localization system.

Lan KC, Shih WY.

Sensors (Basel). 2013 Apr 10;13(4):4781-810. doi: 10.3390/s130404781.

5.

Fusion of WiFi, smartphone sensors and landmarks using the Kalman filter for indoor localization.

Chen Z, Zou H, Jiang H, Zhu Q, Soh YC, Xie L.

Sensors (Basel). 2015 Jan 5;15(1):715-32. doi: 10.3390/s150100715.

6.

Kinematic Model-Based Pedestrian Dead Reckoning for Heading Correction and Lower Body Motion Tracking.

Lee MS, Ju H, Song JW, Park CG.

Sensors (Basel). 2015 Nov 6;15(11):28129-53. doi: 10.3390/s151128129.

7.

A Hybrid Indoor Localization and Navigation System with Map Matching for Pedestrians Using Smartphones.

Tian Q, Salcic Z, Wang KI, Pan Y.

Sensors (Basel). 2015 Dec 5;15(12):30759-83. doi: 10.3390/s151229827.

8.

Continuous Indoor Positioning Fusing WiFi, Smartphone Sensors and Landmarks.

Deng ZA, Wang G, Qin D, Na Z, Cui Y, Chen J.

Sensors (Basel). 2016 Sep 5;16(9). pii: E1427. doi: 10.3390/s16091427.

9.

Integrated WiFi/PDR/Smartphone Using an Unscented Kalman Filter Algorithm for 3D Indoor Localization.

Chen G, Meng X, Wang Y, Zhang Y, Tian P, Yang H.

Sensors (Basel). 2015 Sep 23;15(9):24595-614. doi: 10.3390/s150924595.

10.

A Bluetooth/PDR Integration Algorithm for an Indoor Positioning System.

Li X, Wang J, Liu C.

Sensors (Basel). 2015 Sep 25;15(10):24862-85. doi: 10.3390/s151024862.

11.

A Context-Recognition-Aided PDR Localization Method Based on the Hidden Markov Model.

Lu Y, Wei D, Lai Q, Li W, Yuan H.

Sensors (Basel). 2016 Nov 30;16(12). pii: E2030.

12.

Use of high sensitivity GNSS receiver Doppler measurements for indoor pedestrian dead reckoning.

He Z, Renaudin V, Petovello MG, Lachapelle G.

Sensors (Basel). 2013 Mar 28;13(4):4303-26. doi: 10.3390/s130404303. Review.

13.
14.

An Indoor Positioning Method for Smartphones Using Landmarks and PDR.

Wang X, Jiang M, Guo Z, Hu N, Sun Z, Liu J.

Sensors (Basel). 2016 Dec 15;16(12). pii: E2135.

15.

Enhancing improved heuristic drift elimination for step-and-heading based pedestrian dead-reckoning systems.

Diez LE, Bahillo A, Bataineh S, Masegosa AD, Perallos A.

Conf Proc IEEE Eng Med Biol Soc. 2016 Aug;2016:4415-4418. doi: 10.1109/EMBC.2016.7591706.

PMID:
28269257
16.

A floor-map-aided WiFi/pseudo-odometry integration algorithm for an indoor positioning system.

Wang J, Hu A, Liu C, Li X.

Sensors (Basel). 2015 Mar 24;15(4):7096-124. doi: 10.3390/s150407096.

17.

Indoor magnetic signature based localization algorithm without person-dependent parameter calibration.

Suh YS, Amarbayasgalan B.

Sensors (Basel). 2014 Aug 7;14(8):14375-98. doi: 10.3390/s140814375.

18.
19.

GridiLoc: A Backtracking Grid Filter for Fusing the Grid Model with PDR Using Smartphone Sensors.

Shang J, Hu X, Cheng W, Fan H.

Sensors (Basel). 2016 Dec 15;16(12). pii: E2137.

20.

Pedestrian navigation based on a waist-worn inertial sensor.

Alvarez JC, Alvarez D, López A, González RC.

Sensors (Basel). 2012;12(8):10536-49. doi: 10.3390/s120810536. Epub 2012 Aug 3.

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