2012 International Conference on Communication, Information &Amp; Computing Technology (ICCICT) 2012
DOI: 10.1109/iccict.2012.6398113
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Development of vehicle tracking system using passive sensors

Abstract: Wireless sensor network is an emerging technology that enables remote monitoring of objects and environment. Wireless sensor networks can assist user to detect target as well as acquire the movement information of the target such as a vehicle. Vehicle tracking finds its prime application in intrusion avoidance, surveillance etc. For surveillance applications, it is preferable to keep the intruder unaware of being tracked. This paper presents a tracking algorithm based on Kalman filter and the hardware implemen… Show more

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Cited by 5 publications
(5 citation statements)
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“…Additionally, a few computational data points for traveling crossflow are shown 54. For portions of the spectra with low coherence ( 0.2), there are little or no correlated disturbances common among the sensors, and derived quantities such as Ψ and c r are meaningless.…”
mentioning
confidence: 99%
“…Additionally, a few computational data points for traveling crossflow are shown 54. For portions of the spectra with low coherence ( 0.2), there are little or no correlated disturbances common among the sensors, and derived quantities such as Ψ and c r are meaningless.…”
mentioning
confidence: 99%
“…In [3] they proposed a web-based end user application to monitor the vehicle. Many other researchers proposed a various method in vehicle tracking, such as using passive sensors [4], using wireless sensors technology [5] and cloud computing [6].…”
Section: Related Workmentioning
confidence: 99%
“…In [19] safety challenges related to tracking system and GPS are discussed in great detail. A novel method of vehicle tracking is presented in [20] using wireless sensor technology, passive sensors [21], android based tracking [22], self-power tracking system [23] and tracking system based on cloud computing infrastructure [24]. A vehicle tracking system based on color histogram distance and binary information is implemented [25].…”
Section: Related Researchmentioning
confidence: 99%