Vehicle Detection and Classification Using Passive Infrared Sensing

Enas M. Odat, Mustafa Mousa, Christian Claudel

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Scopus citations

Abstract

We propose a new sensing device that can simultaneously monitor urban traffic congestion and another phenomenon of interest (flash floods on the present case). This sensing device is based on the combination of an ultrasonic rangefinder with one or multiple remote temperature sensors. We show an implementation of this device, and illustrate its performance in both traffic flow sensing. Field data shows that the sensor can detect vehicles with a 99% accuracy, in addition to estimating their speed and classifying them in function of their length. The same sensor can also monitor urban water levels with an accuracy of less than 2 cm.
Original languageEnglish (US)
Title of host publication2015 IEEE 12th International Conference on Mobile Ad Hoc and Sensor Systems
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages443-444
Number of pages2
ISBN (Print)9781467391016
DOIs
StatePublished - Jan 7 2016

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