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Using Noisy Georeferenced Information Sources for Navigation and Tracking
2006 IEEE Nonlinear Statistical Signal Processing Workshop
Localization, navigation and tracking form a special application domain of Bayesian filtering, where the position and velocity of a mobile (and possibly additional hyper-parameters) should be estimated based on (i) a prior model for the possible displacement of the mobile, (ii) noisy measurements provided by a sensor, and (iii) a georeferenced information source (digital map, reference data base, etc.), providing for each spatial position an estimate of the quantity measured by the sensor. Fordoi:10.1109/nsspw.2006.4378843 fatcat:bxtgcdunqfaahi6zhpij42hwbm