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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
- 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