Přístupnostní navigace
E-přihláška
Vyhledávání Vyhledat Zavřít
Detail publikace
KAŇA, Z. BRADÁČ, Z. FIEDLER, P.
Originální název
Personal Navigation Algorithms Based on Wireless Networks and Inertial Sensors
Typ
článek v časopise ve Web of Science, Jimp
Jazyk
angličtina
Originální abstrakt
The work aims at a development of positioning algorithm suitable for low-cost indoor or urban pedestrian navigation application. The sensor fusion was applied to increase the localization accuracy. Due to required low application cost only low grade inertial sensors and wireless network based ranging were taken into account. The wireless network was assumed to be preinstalled due to other required functionality (for example: building control) therefore only received signal strength (RSS) range measurement technique was considered. Wireless channel loss mapping method was proposed to overcome the natural uncertainties and restrictions in the RSS range measurements. The available sensor and environment models are summarized first and the most appropriate ones are selected secondly. Their effective and novel application in the navigation task, and favorable fusion (Particle filtering) of all available information are the main objectives of this thesis.
Klíčová slova
Personal Localization, Indoor and Urban Navigation, Wireless Networks, Inertial Sensors, Particle Filter
Autoři
KAŇA, Z.; BRADÁČ, Z.; FIEDLER, P.
Rok RIV
2014
Vydáno
30. 6. 2014
Nakladatel
FEI STU Bratislava
ISSN
1335-3632
Periodikum
Journal of Electrical Engineering
Ročník
65
Číslo
4
Stát
Slovenská republika
Strany od
1
Strany do
10
Strany počet
URL
https://www.sciendo.com/article/10.2478/jee-2014-0031
Plný text v Digitální knihovně
http://hdl.handle.net/11012/201761
BibTex
@article{BUT108205, author="Zdeněk {Kaňa} and Zdeněk {Bradáč} and Petr {Fiedler}", title="Personal Navigation Algorithms Based on Wireless Networks and Inertial Sensors", journal="Journal of Electrical Engineering ", year="2014", volume="65", number="4", pages="1--10", doi="10.2478/jee-2014-0031", issn="1335-3632", url="https://www.sciendo.com/article/10.2478/jee-2014-0031" }