Vehicle detection and speed estimation with PIR sensors

Brian Donovan, Yanning Li, Raphael Stern, Jiming Jiang, Christian Claudel, Daniel Work

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

5 Scopus citations


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.
Original languageEnglish (US)
Title of host publicationProceedings of the 14th International Conference on Information Processing in Sensor Networks
PublisherACM Press
Number of pages2
ISBN (Print)9781450334754
StatePublished - 2015


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