Indoor Localization Methods Using Dead Reckoning and 3D Map Matching-Reference-Cited by-同舟云学术

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Indoor Localization Methods Using Dead Reckoning and 3D Map Matching

Published:2013-12-27 Issue:3 Volume:76 Page:301-312
ISSN:1939-8018
Container-title:Journal of Signal Processing Systems
language:en
Short-container-title:J Sign Process Syst

Author:

Bojja J.,Kirkko-Jaakkola M.,Collin J.,Takala J.

Publisher

Springer Science and Business Media LLC

Subject

Hardware and Architecture,Modeling and Simulation,Information Systems,Signal Processing,Theoretical Computer Science,Control and Systems Engineering

Link

http://link.springer.com/content/pdf/10.1007/s11265-013-0865-9.pdf

Reference33 articles.

1. Chausse, F., Laneurit, J., and Chapuis, R. (2005). Vehicle localization on a digital map using particles filtering. In Proc. IEEE Intelligent Vehicles Symposium, Las Vegas, NV, 6-8 June (pp. 243-248).

2. Liu, J., Chen, R., Chen, Y., Pei, L., & Chen, L. (2012). iParking: An Intelligent Indoor Location-Based Smartphone Parking Service. Sensors, 12(1), 14612–14629.

3. Ascher, C., Kessler, C., Wankerl, M., & Trommer, G. G. (2010). Dual IMU Indoor Navigation with particle filter based map-matching on a smartphone. In Proc. International Conference on Indoor Positioning and Indoor Navigation, Zurich, Switzerland, 15-17 September.

4. Parviainen, J., Kantola, J., Collin, J. (2008). Differential barometry in personal navigation. Position, Location and Navigation Symposium, IEEE/ION 5-8 May. doi: 10.1109/PLANS.2008.4570051 .

5. Bojja, J., Kirkko-jaakkola, M., Collin, J., & Takala, J. (2013). Indoor 3d navigation and positioning of vehicles in multi-storey parking garages. In Proc. ICASSP 2013, Vancouver, Canada, 26–31 May (pp. 2548–2552).

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1. Context-Aware Statistical Dead Reckoning for Localization in IoT Scenarios;Sensors;2023-06-28

2. A novel inertial positioning update method, using passive RFID tags, for indoor asset localisation;CIRP Journal of Manufacturing Science and Technology;2021-11

3. Grid-Based Bayesian Filtering Methods for Pedestrian Dead Reckoning Indoor Positioning Using Smartphones;Sensors;2020-09-18

4. Improving the Heading Accuracy in Indoor Pedestrian Navigation Based on a Decision Tree and Kalman Filter;Sensors;2020-03-12

5. A Fusion Framework Based on Sparse Gaussian–Wigner Prediction for Vehicle Localization Using GDOP of GPS Satellites;IEEE Transactions on Intelligent Transportation Systems;2020-02

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