Systematic error modeling and bias estimation

Sensors (Switzerland)

Volumn 16, Issue 5, 2016, Pages

  Zhang, Feihu ^a   Knoll, Alois ^a  

^a TECHNICAL UNIVERSITY OF MUNICH   (Germany)

Author keywords

Bias; Least square method; Systematic error

Indexed keywords

ERRORS; SYSTEMATIC ERRORS;

BIAS; BIAS ESTIMATION; ERROR MODEL; LEAST SQUARE METHODS; TRANSFORMATION PROCESS; WEIGHTED NONLINEAR LEAST SQUARES;

LEAST SQUARES APPROXIMATIONS;

EID: 84982182254     PISSN: 14248220     EISSN: None     Source Type: Journal    
DOI: 10.3390/s16050729     Document Type: Article

References (16)

1. Gu, Y.; Hsu, L.T.; Kamijo, S. Passive sensor integration for vehicle self-localization in urban traffic environment. Sensors 2015, 15, 30199-30220.
2. Zhang, F.; Hinz, G.; Clarke, D.; Knoll, A. Vehicle-Infrastructure Localization Based on the SME Filter. In Proceedings of the 2015 IEEE 18th International Conference on Intelligent Transportation Systems (ITSC), Las Palmas, Spain, 15-18 September 2015; pp. 225-230.
3. Ali, N.A.; Abu-Elkheir, M. Improving Localization Accuracy: Successive Measurements Error Modeling. Sensors 2015, 15, 15540-15561.
4. Bordonaro, S.; Willett, P.; Bar-Shalom, Y. Decorrelated unbiased converted measurement Kalman filter. IEEE Trans. Aerosp. Electron. Syst. 2014, 50, 1431-1444.
5. Bordonaro, S.V.; Willett, P.; Bar-Shalom, Y. Unbiased tracking with converted measurements. In Proceedings of the 2012 IEEE Radar Conference (RADAR), Atlanta, GA, USA, 7-11 May 2012; pp. 0741-0745.
6. Zhou, Y.; Leung, H.; Blanchette, M. Sensor alignment with Earth-centered Earth-fixed (ECEF) coordinate system. IEEE Trans. Aerosp. Electron. Syst. 1999, 35, 410-418.
7. Leung, H.; Blanchette, M.; Harrison, C. A least squares fusion of multiple radar data. In Proceedings of the RADAR, Paris, France, 3-6 May 1994; pp. 364-369.
8. Morell-Gimenez, V.; Saval-Calvo, M.; Azorin-Lopez, J.; Garcia-Rodriguez, J.; Cazorla, M.; Orts-Escolano, S.; Fuster-Guillo, A. A comparative study of registration methods for RGB-D video of static scenes. Sensors 2014, 14, 8547-8576.
9. Lin, X.; Bar-Shalom, Y.; Kirubarajan, T. Exact multisensor dynamic bias estimation with local tracks. IEEE Trans. Aerosp. Electron. Syst. 2004, 40, 576-590.
10. Wang, W.; Jiang, L.; Jing, Y. Maximum a posteriori algorithm for joint systematic bias estimation and track-to-track fusion. In Proceedings of the 2014 11th World Congress on Intelligent Control and Automation (WCICA), Shenyang, China, 29 June-4 July 2014; pp. 6121-6126.
11. Han, Y.; Zhu, H.; Han, C. Track-to-track association in the presence of sensor bias and the relative bias estimation. In Proceedings of the 2012 15th International Conference on Information Fusion (FUSION), Singapore, 9-12 July 2012; pp. 1044-1050.
12. Huang, D.; Leung, H.; Bosse, E. A Pseudo-Measurement Approach to Simultaneous Registration and Track Fusion. IEEE Trans. Aerosp. Electron. Syst. 2012, 48, 2315-2331.
13. Zhou, Y.; Leung, H.; Yip, P.C. An exact maximum likelihood registration algorithm for data fusion. IEEE Trans. Signal Process. 1997, 45, 1560-1573.
14. Lin, X.; Kirubarajan, T.; Bar-Shalom, Y. Multisensor bias estimation using local tracks without a priori association. In Proceedings of the SPIE’s 48th Annual Meeting, Optical Science and Technology, International Society for Optics and Photonics, San Diego, CA, USA, 3 August 2003; pp. 334-345.
15. Zhang, F.; Buckl, C.; Knoll, A. Multiple vehicle cooperative localization with spatial registration based on a probability hypothesis density filter. Sensors 2014, 14, 995-1009.
16. Marquardt, D.W. An algorithm for least-squares estimation of nonlinear parameters. J. Soc. Ind. Appl. Math. 1963, 11, 431-441.