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Indoor Localisation: State of the Art and Novel Algorithms - Particle Filter, Fingerprinting and Data Fusion for Opportunistic Indoor Localisation
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Indoor Localisation: State of the Art and Novel Algorithms - Particle Filter, Fingerprinting and Data Fusion for Opportunistic Indoor Localisation - Taschenbuch

2010, ISBN: 9783838344294

[ED: Taschenbuch / Paperback], [PU: LAP Lambert Academic Publishing], Indoor localisation systems are evolving towards systems that can take advantage of any readily available information in the environment. This type of localisation is called opportunistic localisation system. Some aspects of opportunistic indoor localisation systems, utilising received signal strength (RSS) measurement, need to be enhanced in terms of accuracy and usability. This book explains a learning data fusion algorithm based on a particle filter to increase the accuracy and usability of opportunistic indoor localisation system. The particle filter algorithm is improved with map filtering and backtracking particle filtering to further increase accuracy of the system. To address the usability problem, a learning data fusion algorithm was devised. This was able to automatically generate and calibrate a RSS fingerprint. The algorithm maintained the fingerprint up-to-date, thus achieving self-calibration of the localisation system. In addition, data fusion of different sensory data such as WLAN, pedestrian dead reckoning (PDR), ultrasound and wireless sensor network (WSN) was elaborated., [SC: 0.00], Neuware, gewerbliches Angebot, H: 220mm, B: 150mm, T: 8mm, [GW: 222g]

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Indoor Localisation: State of the Art and Novel Algorithms - Widyawan Phd
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Indoor Localisation: State of the Art and Novel Algorithms - neues Buch

ISBN: 9783838344294

Widyawan Phd,Paperback, English-language edition,Pub by AV Akademikerverlag GmbH & Co. KG. Books Books ~~ Computers~~ Information Technology Indoor-Localisation~~Widyawan-PhD AV Akademikerverlag GmbH & Co. KG. Indoor localisation systems are evolving towards systems that can take advantage of any readily available information in the environment. This type of localisation is called opportunistic localisation system. Some aspects of opportunistic indoor localisation systems, utilising received signal strength (RSS) measurement, need to be enhanced in terms of accuracy and usability. This book explains a learning data fusion algorithm based on a particle filter to increase the accuracy and usability of opportunistic indoor localisation system. The particle filter algorithm is improved with map filtering and backtracking particle filtering to further increase accuracy of the system. To address the usability problem, a learning data fusion algorithm was devised. This was able to automatically generate and calibrate a RSS fingerprint. The algorithm maintained the fingerprint up-to-date, thus achieving self-calibration of the localisation system. In addition, data fusion of different sensory data such as WLAN, pedestrian dead reckoning (PDR), ultrasound and wireless sensor network (WSN) was elaborated.

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Indoor Localisation: State of the Art and Novel Algorithms - Widyawan PhD
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Widyawan PhD:
Indoor Localisation: State of the Art and Novel Algorithms - neues Buch

ISBN: 9783838344294

ID: d6797eea49a9b196b983575bbf1dd482

Particle Filter, Fingerprinting and Data Fusion for Opportunistic Indoor Localisation Indoor localisation systems are evolving towards systems that can take advantage of any readily available information in the environment. This type of localisation is called opportunistic localisation system. Some aspects of opportunistic indoor localisation systems, utilising received signal strength (RSS) measurement, need to be enhanced in terms of accuracy and usability. This book explains a learning data fusion algorithm based on a particle filter to increase the accuracy and usability of opportunistic indoor localisation system. The particle filter algorithm is improved with map filtering and backtracking particle filtering to further increase accuracy of the system. To address the usability problem, a learning data fusion algorithm was devised. This was able to automatically generate and calibrate a RSS fingerprint. The algorithm maintained the fingerprint up-to-date, thus achieving self-calibration of the localisation system. In addition, data fusion of different sensory data such as WLAN, pedestrian dead reckoning (PDR), ultrasound and wireless sensor network (WSN) was elaborated. Bücher / Fremdsprachige Bücher / Englische Bücher 978-3-8383-4429-4, LAP Lambert Academic Publishing

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Indoor Localisation - Widyawan PhD
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Widyawan PhD:
Indoor Localisation - Taschenbuch

ISBN: 9783838344294

Paperback, [PU: LAP Lambert Academic Publishing], Computing: General

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Indoor Localisation: State of the Art and Novel Algorithms
Autor:

Widyawan Phd

Titel:

Indoor Localisation: State of the Art and Novel Algorithms

ISBN-Nummer:

9783838344294

Indoor localisation systems are evolving towards systems that can take advantage of any readily available information in the environment. This type of localisation is called opportunistic localisation system. Some aspects of opportunistic indoor localisation systems, utilising received signal strength (RSS) measurement, need to be enhanced in terms of accuracy and usability. This book explains a learning data fusion algorithm based on a particle filter to increase the accuracy and usability of opportunistic indoor localisation system. The particle filter algorithm is improved with map filtering and backtracking particle filtering to further increase accuracy of the system. To address the usability problem, a learning data fusion algorithm was devised. This was able to automatically generate and calibrate a RSS fingerprint. The algorithm maintained the fingerprint up-to-date, thus achieving self-calibration of the localisation system. In addition, data fusion of different sensory data such as WLAN, pedestrian dead reckoning (PDR), ultrasound and wireless sensor network (WSN) was elaborated.

Detailangaben zum Buch - Indoor Localisation: State of the Art and Novel Algorithms


EAN (ISBN-13): 9783838344294
Taschenbuch
Erscheinungsjahr: 2010
Herausgeber: AV Akademikerverlag GmbH & Co. KG.

Buch in der Datenbank seit 10.10.2014 11:17:50
Buch zuletzt gefunden am 27.09.2016 12:13:31
ISBN/EAN: 9783838344294

ISBN - alternative Schreibweisen:
978-3-8383-4429-4

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