Title :
Light pole localization in a smart city
Author :
Holenderski, Mike ; Verhoeven, Richard ; Ozcelebi, Tanir ; Lukkien, Johan J.
Author_Institution :
Dept. of Math. & Comput. Sci., Tech. Univ. Eindhoven, Eindhoven, Netherlands
Abstract :
Many smart city lighting applications require information about the location of light poles, in particular about which light poles are neighbors along the street with respect to passing traffic. This paper addresses the problem of deriving the topology of light poles in a smart city, relying only on the data gathered from Passive Infrared Sensors attached to the light poles. A statistical algorithm is presented and evaluated based on a data set gathered from a real deployment in a residential area.
Keywords :
graph theory; infrared detectors; road traffic; statistical analysis; street lighting; data gathering; light pole localization; light pole topology; passive infrared sensors; residential area; road traffic; smart city; smart city lighting applications; statistical algorithm; Accuracy; Cities and towns; Lighting; Sensors; Standards; Topology; Wireless sensor networks;
Conference_Titel :
Emerging Technology and Factory Automation (ETFA), 2014 IEEE
Conference_Location :
Barcelona
DOI :
10.1109/ETFA.2014.7005300