Map-matching for pedestrians via Bayesian inference
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This research has been sponsored by the Centre Suisse d'Electronique et de Microtechnique (CSEM) in Neuchâtel, Switzerland. It introduces a system and the algorithms for Pedestrian Navigation using a combination of sensors. The main objective is to localis ...
A displacement of a pedestrian is determined from his or her accelerations by detecting accelerations which is substantially non vertical, determining a characteristic feature in the detected accelerations correlated with a step frequency, determining the ...
The challenge of knowing one's position in a precise and reliable way, at any time, with and without reception of satellite signals, represents an area fairly explored for the navigation of vehicles. To widen this service to the pedestrians requires a diff ...
In this paper we present a graphical model for polyphonic music transcription. Our model, formulated as a Dynamical Bayesian Network, embodies a transparent and computationally tractable approach to this acoustic analysis problem. An advantage of our appro ...
Many algorithms related to localization need good pose prediction in order to produce accurate results. This is especially the case for data association algorithms, where false feature matches can lead to the localization system failure. In rough terrain, ...
In this paper, a GPS-independent mobile navigation and mapping system is introduced. This system employs the photogrammetric intersection to determine the coordinates of the surrounding objects and then it uses these newly known objects to compute its own ...
This paper presents a new approach to GPS/INS data acquisition and synchronization for the most popular sensors adopted by the mapping industry for direct-georeferencing; the tactical-grade FOG/silicon-based inertial sensors and generic dual frequency GPS ...
In this paper a hierarchical multi-resolution approach allowing for high precision and distinctiveness is presented. The method combines topological and metric paradigm. The metric approach, based on the Kalman Filter, uses a new concept to avoid the probl ...
The invention relates to an inertial sensor based on the magnetic levitation of an inertial mass comprising an active magnetic bearing unit arranged in such a way as to levitate the inertial mass and characterized by the fact that it furthermore comprises ...
Commercial applications for the location of subscribers of wireless services continue to expand. Consequently, finding the Cramer–Rao lower bound (CRLB), which serves as an optimality criterion for the location estimation problem, is of interest. In this p ...
Institute of Electrical and Electronics Engineers2004
