A vehicular positioning with GPS/IMU using adaptive control of filter noise covariance
Author:
Funder
Ministry of Education, Korea
Publisher
Elsevier BV
Subject
Artificial Intelligence,Computer Networks and Communications,Hardware and Architecture,Information Systems,Software
Reference8 articles.
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2. S.J. Chang, Y.Y. Chen, C.Y. Haung, The fusion navigation system using the MEMS-based IMU and the global position system device, in: Microsystmes, Packaging, Assembly & Circuits Technology Conference, Taipei, Taiwan, October 2008, pp. 149–152.
3. A. Amini, R.M. Vaghefi, J.M. Garza, R. Buehrer, Improving GPS-based vehicle positioning for intelligent transportation systems, in: IEEE Intelligent Vehicles Symposium, Dearborn, Michigan, USA, January. 2014, pp. 1023–1029.
4. Improving adaptive kalman estimation in GPS/INS integration;Ding;J. Navig.,2007
5. Adaptive two-stage extended kalman filter for a fault-tolerant INS-GPS loosely coupled system;Kim;IEEE Trans. Aerosp. Electron. Syst.,2009
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