ETRI-Knowledge Sharing Plaform

KOREAN
논문 검색
Type SCI
Year ~ Keyword

Detail

Conference Paper Robust In-Situ Vehicle Detection Algorithm with Acoustic Transition Bandpass Filter
Cited 1 time in scopus Share share facebook twitter linkedin kakaostory
Authors
Chul Hyun Kwak, Min Ho Kim, Ki Tae Kim, Sang Gi Hong, Keon Wook Kim
Issue Date
2009-02
Citation
International Waveform Diversity and Design Conference (WDD) 2009, pp.13-17
Language
English
Type
Conference Paper
DOI
https://dx.doi.org/10.1109/WDDC.2009.4800305
Abstract
In limited energy of wireless sensor networks, energy-efficiency is an important issue related to computation complexity and communication frequency. This paper proposes algorithm for vehicle detection using low complexity transition filter based on hardware and software acoustic signal processing. Performance results of the proposed algorithm are evaluated using developed sensor nodes. The proposed algorithm presents the energy consumption as well as analysis a communication frequency of the algorithm. The results of these analyses demonstrate that VoM based in-situ processing holds the potential to meet the needs of future advanced surveillance system in a scalable fashion. ©2009 IEEE.
KSP Keywords
Acoustic signal processing, Communication frequency, Detection algorithm, Energy efficiency, Hardware and software, In-Situ processing, Low complexity, Sensor node, Surveillance system, Vehicle detection, Wireless Sensor networks