Road navigation has gained increased importance in recent times with an increased number of vehicles making use of GPS navigators. As a result, focus has been placed on services that can be offered to drivers by prediction of routes they might take to their final destination. The analysis here predicts the destination of a driver given an initial starting point and regular position coordinates supplied by a GPS sensor. The system is simulated with the help of an a priori knowledge of the road network and its cost distributions supplemented by the individual driver's history and road preference. The novelty of the system lies in the manner in which the driver's destination probabilities are calculated and varied. By the use of velocity-based particle filters combined with a novel idea for the set up and analysis of road link cost distributions, an algorithm is created which is seen to perform to a high standard. The destination of the driver is identified as one of a few highly probable candidates within the first 50 percent of journey traveled. By 75-80% of the journey, the destination node is pinpointed with certainty.
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Zaif Dabestani nació en Mumbai (India) el 29 de mayo de 1985. En 2003 se trasladó a Inglaterra para cursar estudios superiores y se graduó en el Imperial College de Londres con una maestría en comunicaciones y procesamiento de señales. Zaif trabaja actualmente en Londres como Consultor de Inteligencia de Negocios especializado en soluciones de software para clientes corporativos.
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Road navigation has gained increased importance in recent times with an increased number of vehicles making use of GPS navigators. As a result, focus has been placed on services that can be offered to drivers by prediction of routes they might take to their final destination. The analysis here predicts the destination of a driver given an initial starting point and regular position coordinates supplied by a GPS sensor. The system is simulated with the help of an a priori knowledge of the road network and its cost distributions supplemented by the individual driver's history and road preference. The novelty of the system lies in the manner in which the driver's destination probabilities are calculated and varied. By the use of velocity-based particle filters combined with a novel idea for the set up and analysis of road link cost distributions, an algorithm is created which is seen to perform to a high standard. The destination of the driver is identified as one of a few highly probable candidates within the first 50 percent of journey traveled. By 75-80% of the journey, the destination node is pinpointed with certainty. 68 pp. Englisch. Bestandsnummer des Verkäufers 9783844398007
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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Dabestani ZaifZaif Dabestani was born in Mumbai, India on May 29, 1985. In 2003, he moved to England to pursue higher education and graduated from Imperial College London with a Master s degree in Communications and Signal Processing. Bestandsnummer des Verkäufers 5477268
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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Road navigation has gained increased importance in recent times with an increased number of vehicles making use of GPS navigators. As a result, focus has been placed on services that can be offered to drivers by prediction of routes they might take to their final destination. The analysis here predicts the destination of a driver given an initial starting point and regular position coordinates supplied by a GPS sensor. The system is simulated with the help of an a priori knowledge of the road network and its cost distributions supplemented by the individual driver's history and road preference. The novelty of the system lies in the manner in which the driver's destination probabilities are calculated and varied. By the use of velocity-based particle filters combined with a novel idea for the set up and analysis of road link cost distributions, an algorithm is created which is seen to perform to a high standard. The destination of the driver is identified as one of a few highly probable candidates within the first 50 percent of journey traveled. By 75-80% of the journey, the destination node is pinpointed with certainty.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 68 pp. Englisch. Bestandsnummer des Verkäufers 9783844398007
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Road navigation has gained increased importance in recent times with an increased number of vehicles making use of GPS navigators. As a result, focus has been placed on services that can be offered to drivers by prediction of routes they might take to their final destination. The analysis here predicts the destination of a driver given an initial starting point and regular position coordinates supplied by a GPS sensor. The system is simulated with the help of an a priori knowledge of the road network and its cost distributions supplemented by the individual driver's history and road preference. The novelty of the system lies in the manner in which the driver's destination probabilities are calculated and varied. By the use of velocity-based particle filters combined with a novel idea for the set up and analysis of road link cost distributions, an algorithm is created which is seen to perform to a high standard. The destination of the driver is identified as one of a few highly probable candidates within the first 50 percent of journey traveled. By 75-80% of the journey, the destination node is pinpointed with certainty. Bestandsnummer des Verkäufers 9783844398007
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Taschenbuch. Zustand: Neu. Vehicle Destination Prediction Using GPS Tracking | Analysis Using Velocity Based Particle Filters | Zaif Dabestani | Taschenbuch | 68 S. | Englisch | 2011 | LAP LAMBERT Academic Publishing | EAN 9783844398007 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. Bestandsnummer des Verkäufers 106960476
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