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 contributionpeer-review

3 Scopus citations

Abstract

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 publicationIPSN 2015 - Proceedings of the 14th International Symposium on Information Processing in Sensor Networks (Part of CPS Week)
PublisherAssociation for Computing Machinery, Inc
Pages370-371
Number of pages2
ISBN (Electronic)9781450334754
DOIs
StatePublished - Apr 13 2015
Event14th International Symposium on Information Processing in Sensor Networks, IPSN 2015 - Seattle, United States
Duration: Apr 13 2015Apr 16 2015

Publication series

NameIPSN 2015 - Proceedings of the 14th International Symposium on Information Processing in Sensor Networks (Part of CPS Week)

Other

Other14th International Symposium on Information Processing in Sensor Networks, IPSN 2015
CountryUnited States
CitySeattle
Period04/13/1504/16/15

ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering
  • Computer Networks and Communications

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