Precision of the Coordinates of an Automobile Navigation System as a Function of Limits
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The limits used in the recognition of an arrival from a road trip in the problem of complex processing of the information of automobile navigation systems and digital road maps where there are no constraints on the movement of the automobile are evaluated. It is shown that the precision of estimators in the determination of navigation parameters cannot be increased with the use of limits for recognizing the presence of an automobile on a road from information provided solely by the navigation system and digital road maps.
Keywordsautomobile navigation digital road maps coordinate discrepancy limit distribution density
The present study was carried out with the support of the Russian Foundation for Basic Research (Grant No. 14-08-31436).
- 2.A. V. Sholokhov, “Correction of ground navigation systems on the basis of a digital road map in light of its errors,” Navigation and the Control of Movement: Proc. 5th Sci. Techn. Conf. Young Scientists, GNTs RF – TsNII Electropribor, St. Petersburg (2004), pp. 227–233.Google Scholar
- 3.A. V. Sholokhov, “Determination of the current location of an object from digital road maps without initial adjustment of the navigation dead reckoning system,” Navigation and the Control of Movement: Proc. 3rd Sci. Techn. Conf. Young Scientists, GNTs RF – TsNII Electropribor, St. Petersburg (2001), pp. 157–163.Google Scholar
- 4.R. N. Sadekov et al., “Base technology for the construction of tests and integrated inertial-geoinformation navigation complexes,” Tr. FGUP NPTs AP. Sist. Prib. Upravl., No. 1, 89–96 (2013).Google Scholar
- 5.A. V. Sholokhov, “A Bayesian approach to the creation of information redundancy in ground navigation systems with enlistment of data on the position of a priori known trajectories of an object,” Aviakosm. Priborostr., No. 3, 35–40 (2005).Google Scholar
- 6.S. P. Dmitriev et al., “Optimal solution of problem of automobile navigation with the use of a road map,” Giroskop. Navig., No. 2 (29), 57–69 (2000).Google Scholar
- 7.O. Mezentsev, J. Collin, and G. Lachapelle, “Automobile navigation under urban conditions on the basis of a high-sensitivity GPS receiver and inertial block of intermediate accuracy,” Proc. St. Petersb. Int. Conf. Integrated Navigation Systems, TsNII Elektropribor, St. Petersburg (2003), pp. 64–70.Google Scholar
- 8.M. Brubaker, G. Andreas, and R. Urtasum, “Lost! Leveraging the crowd for probabilistic visual self-localization,” Conf. Computer Vision and Pattern Recognition, Portland (USA) (2013), pp. 3057–3064.Google Scholar
- 9.S. B. Berkovich and D. V. Yakovlev, “An algorithm for recognition of the location of a ground object on a given travel route,” Problems of Effectiveness and Safety of the Operation of Complex Technical and Information Systems: Proc. 21st Interdepart. Sci. Techn. Conf., SVIRV, Serpukhov (2002), Part 2, pp. 127–131.Google Scholar
- 10.O. A. Stepanov, Foundations of the Theory of Estimation with Applications to Problems of Processing Navigation Information. Part 1. Introduction to Estimation Theory, GNTs RF TsNII Elektropribor, St. Petersburg (2009).Google Scholar