TY - GEN
T1 - Vehicle detection and speed estimation with PIR sensors
AU - Donovan, Brian
AU - Li, Yanning
AU - Stern, Raphael
AU - Jiang, Jiming
AU - Claudel, Christian
AU - Work, Daniel
N1 - Publisher Copyright:
Copyright 2015 ACM.
PY - 2015/4/13
Y1 - 2015/4/13
N2 - Reliable and accurate traffic sensing is the basis of Intelligent Transportation Systems (ITS), which mitigate traffic mobility and safety issues. To promote vast adoption of ITS technologies, rapid deployment and auto-calibration of traffic sensing systems are critical. Aiming at the development of an advanced traffic sensing system for construction zones, this poster presents our preliminary results for detecting vehicles and estimating traffic speeds by applying signal processing and machine learning techniques using Passive Infrared (PIR) sensor data.
AB - Reliable and accurate traffic sensing is the basis of Intelligent Transportation Systems (ITS), which mitigate traffic mobility and safety issues. To promote vast adoption of ITS technologies, rapid deployment and auto-calibration of traffic sensing systems are critical. Aiming at the development of an advanced traffic sensing system for construction zones, this poster presents our preliminary results for detecting vehicles and estimating traffic speeds by applying signal processing and machine learning techniques using Passive Infrared (PIR) sensor data.
UR - http://www.scopus.com/inward/record.url?scp=84954094958&partnerID=8YFLogxK
U2 - 10.1145/2737095.2742918
DO - 10.1145/2737095.2742918
M3 - Conference contribution
AN - SCOPUS:84954094958
T3 - IPSN 2015 - Proceedings of the 14th International Symposium on Information Processing in Sensor Networks (Part of CPS Week)
SP - 370
EP - 371
BT - IPSN 2015 - Proceedings of the 14th International Symposium on Information Processing in Sensor Networks (Part of CPS Week)
PB - Association for Computing Machinery, Inc
T2 - 14th International Symposium on Information Processing in Sensor Networks, IPSN 2015
Y2 - 13 April 2015 through 16 April 2015
ER -