TY - GEN
T1 - Vehicle Detection and Classification Using Passive Infrared Sensing
AU - Odat, Enas M.
AU - Mousa, Mustafa
AU - Claudel, Christian
N1 - KAUST Repository Item: Exported on 2020-10-01
PY - 2016/1/7
Y1 - 2016/1/7
N2 - 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.
AB - 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.
UR - http://hdl.handle.net/10754/608816
UR - http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=7366960
UR - http://www.scopus.com/inward/record.url?scp=84964647479&partnerID=8YFLogxK
U2 - 10.1109/MASS.2015.62
DO - 10.1109/MASS.2015.62
M3 - Conference contribution
SN - 9781467391016
SP - 443
EP - 444
BT - 2015 IEEE 12th International Conference on Mobile Ad Hoc and Sensor Systems
PB - Institute of Electrical and Electronics Engineers (IEEE)
ER -
