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Conference Paper A Single Node Vehicle Detection System Using an Adaptive Signal Adjustment Technique
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Authors
Young-Jin Kwon, Do-Hyun Kim, Kyoung-Ho Choi
Issue Date
2017-12
Citation
International Symposium on Wireless Personal Multimedia Communications (WPMC) 2017, pp.348-352
Language
English
Type
Conference Paper
DOI
https://dx.doi.org/10.1109/WPMC.2017.8301836
Project Code
17ZS1600, Smart digital cockpit system for electric vehicle, Kim Do Hyun
Abstract
Vehicle detection is essential to build intelligent transportation systems, estimating vehicle speed and traffic congestion, and providing various services such as parking assist and route guidance systems, etc. Many approaches have been reported based on various sensors and technologies such as inductive loop detector, radar, and CCD camera, wireless sensor networks. In this paper, a single node vehicle detection and speed estimation system using geomagnetic sensors with wireless sensor networks is presented. In the proposed system, two geomagnetic sensors are installed, separated by 20 cm within a single board, and a novel adaptive signal adjusting algorithm followed by a simplified cross-correlation technique is applied, calculating the similarity of signals from the two magnetic sensors. According to our simulations, the proposed system shows over 97 percent accuracy for vehicle speed estimation.
KSP Keywords
Digital imaging(CCD camera), Geomagnetic sensors, Inductive loop detector, Intelligent Transport Systems(ITS), Intrusion detection system(IDS), Route Guidance, Static wireless sensor networks(WSNs), Traffic congestion, Vehicle detection, Vehicle speed estimation, cross-correlation technique