Vehicle detection and speed estimation with PIR sensors

被引：4

作者：

Donovan, Brian ^{[1
]}

Li, Yanning ^{[1
]}

Stern, Raphael ^{[1
]}

Jiang, Jiming ^{[2
]}

Claudel, Christian ^{[3
]}

Work, Daniel ^{[1
]}

机构：

[1] Univ Illinois, 206 North Mathews, Urbana, IL 61820 USA

[2] King Abdullah Univ Sci & Technol, Thuwal 23955, Saudi Arabia

[3] Univ Texas Austin, Austin, TX 78712 USA

来源：

IPSN'15: PROCEEDINGS OF THE 14TH INTERNATIONAL SYMPOSIUM ON INFORMATION PROCESSING IN SENSOR NETWORKS | 2015年

关键词：

D O I：

10.1145/2737095.2742918

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

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.

引用

页码：370 / 371

页数：2

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