Vehicle Detection and Classification Using Passive Infrared Sensing

Handle URI:
http://hdl.handle.net/10754/608816
Title:
Vehicle Detection and Classification Using Passive Infrared Sensing
Authors:
Odat, Enas M.; Mousa, Mustafa ( 0000-0001-9355-1343 ) ; Claudel, Christian
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.
KAUST Department:
Computer Science Program; Electrical Engineering Program
Citation:
Oudat, E., Mousa, M. and Claudel, C., 2015, October. Vehicle Detection and Classification Using Passive Infrared Sensing. In Mobile Ad Hoc and Sensor Systems (MASS), 2015 IEEE 12th International Conference on (pp. 443-444). IEEE.
Publisher:
Institute of Electrical and Electronics Engineers (IEEE)
Journal:
2015 IEEE 12th International Conference on Mobile Ad Hoc and Sensor Systems
Conference/Event name:
Mobile Ad Hoc and Sensor Systems (MASS), 2015 IEEE 12th International Conference on
Issue Date:
19-Oct-2015
DOI:
10.1109/MASS.2015.62
Type:
Conference Paper
Additional Links:
http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=7366960
Appears in Collections:
Conference Papers; Computer Science Program; Electrical Engineering Program

Full metadata record

DC FieldValue Language
dc.contributor.authorOdat, Enas M.en
dc.contributor.authorMousa, Mustafaen
dc.contributor.authorClaudel, Christianen
dc.date.accessioned2016-05-10T14:17:04Zen
dc.date.available2016-05-10T14:17:04Zen
dc.date.issued2015-10-19en
dc.identifier.citationOudat, E., Mousa, M. and Claudel, C., 2015, October. Vehicle Detection and Classification Using Passive Infrared Sensing. In Mobile Ad Hoc and Sensor Systems (MASS), 2015 IEEE 12th International Conference on (pp. 443-444). IEEE.en
dc.identifier.doi10.1109/MASS.2015.62en
dc.identifier.urihttp://hdl.handle.net/10754/608816en
dc.description.abstractWe 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.en
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.relation.urlhttp://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=7366960en
dc.rights(c) 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.en
dc.subjectFlash flooden
dc.subjectSpeed estimationen
dc.subjectVehicle classificationen
dc.subjectWireless Sensor Networksen
dc.titleVehicle Detection and Classification Using Passive Infrared Sensingen
dc.typeConference Paperen
dc.contributor.departmentComputer Science Programen
dc.contributor.departmentElectrical Engineering Programen
dc.identifier.journal2015 IEEE 12th International Conference on Mobile Ad Hoc and Sensor Systemsen
dc.conference.date19-22 Oct. 2015en
dc.conference.nameMobile Ad Hoc and Sensor Systems (MASS), 2015 IEEE 12th International Conference onen
dc.conference.locationDallas, TXen
dc.eprint.versionPost-printen
dc.contributor.institutionThe University of Texas at Austinen
kaust.authorOdat, Enas M.en
kaust.authorMousa, Mustafaen
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