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G. Retscher, Q. Fu:
"GNSS, RFID and INS Integration for Pedestrian Navigation";
Talk: GPS/GNSS 2008 Conference, Tokyo, Japan; 2008-11-11 - 2008-11-14; in: "GPS/GNSS 2008 Conference", (2008), 10 pages.

This paper describes the current research work in the project UCPNAVI (Ubiquitous Carthograpy for Pedestrian Navigation) for pedetrian navigation and outlines the methods by using active RFID (Radio Frequency Identification) in combination with GNSS and INS (Inertial Navigation Systems) for positioning. RFID can be employed in areas where no satellite positioning is posssible due to obstructions, e.g. in urban canyons and indoor environments. Using RFID positioning totally three different methods have been employed, i.e., cell-based positioning, trilateration using ranges to the surrounding RFID transponders (so-called tags) deduced from received signal strength measurements and RFID location fingerprinting. These technolgies can be employed depending on the density of the RFID tags in the surrounding environment and they provide different levels of positioning accuracies, i.e., on the one metre level for fingerprinting and trilateration up to several metres. The positioning is restricted, however, to areas where at least one RFID signal can be detected. In order to overcome the lack of coverage of signals of the RFID tags we propose to integrate a low-cost INS in addition. INS measurements would be utilized to calculate the trajectory based on the method of strapdown mechanization. At the same time a Kalman Filter would be used to correct the positions and velocity obtained. Since the INS components produce small measurement errors that accumulate over time and cause drift errors, the positions determined by RFID would be needed regularly to eliminate these errors. After a description of the principles and methods for positioning using active RFID the determination of pedestrian trajectories using INS and RFID is described briefly. The approach is verfied by field tests and first test results are presented.

Project Head Georg Gartner:
Ubiquitäre Kartographie für Fußgängernavigation