Accurate vehicle detection using stereo vision for toll collection systems

Yusuke Takahashi; Yasuhiro Aoki; Seiichi Hashiya; Atsushi Kusano; Nobuyuki Sueki; Toshio Sato

Accurate vehicle detection using stereo vision for toll collection systems

Yusuke Takahashi^*, Yasuhiro Aoki, Seiichi Hashiya, Atsushi Kusano, Nobuyuki Sueki, Toshio Sato

^*Corresponding author for this work

Research output: Contribution to conference › Paper › peer-review

1 Citation (Scopus)

Abstract

We propose accurate vehicle detection using stereo images for toll collection systems. Conventional methods such as inductive loop sensors and laser scanners have disadvantages for equipment and installation costs. We have developed stereo vision-based depth measuring methods to detect a body of vehicles that achieve higher detection rates. Configurations of stereo cameras and algorithms are specialized for toll collection systems. Traffic data over 10,000 vehicles are used to confirm the accuracy of detection. The results indicate the proposed our approach will realize sufficient performance for toll collection systems and realize low cost vehicle detection for intelligent infrastructures for transportation.

Original language	English
Pages	AP-00280
Publication status	Published - 2012
Externally published	Yes
Event	19th Intelligent Transport Systems World Congress, ITS 2012 - Vienna, Austria Duration: 2012 Oct 22 → 2012 Oct 26

Conference

Conference	19th Intelligent Transport Systems World Congress, ITS 2012
Country/Territory	Austria
City	Vienna
Period	12/10/22 → 12/10/26

Keywords

Stereo vision
Toll collection system
Vehicle detection

ASJC Scopus subject areas

Computer Networks and Communications
Computer Science Applications
Control and Systems Engineering
Electrical and Electronic Engineering
Mechanical Engineering
Transportation

Cite this

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title = "Accurate vehicle detection using stereo vision for toll collection systems",

abstract = "We propose accurate vehicle detection using stereo images for toll collection systems. Conventional methods such as inductive loop sensors and laser scanners have disadvantages for equipment and installation costs. We have developed stereo vision-based depth measuring methods to detect a body of vehicles that achieve higher detection rates. Configurations of stereo cameras and algorithms are specialized for toll collection systems. Traffic data over 10,000 vehicles are used to confirm the accuracy of detection. The results indicate the proposed our approach will realize sufficient performance for toll collection systems and realize low cost vehicle detection for intelligent infrastructures for transportation.",

keywords = "Stereo vision, Toll collection system, Vehicle detection",

author = "Yusuke Takahashi and Yasuhiro Aoki and Seiichi Hashiya and Atsushi Kusano and Nobuyuki Sueki and Toshio Sato",

year = "2012",

language = "English",

pages = "AP--00280",

note = "19th Intelligent Transport Systems World Congress, ITS 2012 ; Conference date: 22-10-2012 Through 26-10-2012",

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TY - CONF

T1 - Accurate vehicle detection using stereo vision for toll collection systems

AU - Takahashi, Yusuke

AU - Aoki, Yasuhiro

AU - Hashiya, Seiichi

AU - Kusano, Atsushi

AU - Sueki, Nobuyuki

AU - Sato, Toshio

PY - 2012

Y1 - 2012

N2 - We propose accurate vehicle detection using stereo images for toll collection systems. Conventional methods such as inductive loop sensors and laser scanners have disadvantages for equipment and installation costs. We have developed stereo vision-based depth measuring methods to detect a body of vehicles that achieve higher detection rates. Configurations of stereo cameras and algorithms are specialized for toll collection systems. Traffic data over 10,000 vehicles are used to confirm the accuracy of detection. The results indicate the proposed our approach will realize sufficient performance for toll collection systems and realize low cost vehicle detection for intelligent infrastructures for transportation.

AB - We propose accurate vehicle detection using stereo images for toll collection systems. Conventional methods such as inductive loop sensors and laser scanners have disadvantages for equipment and installation costs. We have developed stereo vision-based depth measuring methods to detect a body of vehicles that achieve higher detection rates. Configurations of stereo cameras and algorithms are specialized for toll collection systems. Traffic data over 10,000 vehicles are used to confirm the accuracy of detection. The results indicate the proposed our approach will realize sufficient performance for toll collection systems and realize low cost vehicle detection for intelligent infrastructures for transportation.

KW - Stereo vision

KW - Toll collection system

KW - Vehicle detection

UR - http://www.scopus.com/inward/record.url?scp=84897005268&partnerID=8YFLogxK

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M3 - Paper

AN - SCOPUS:84897005268

SP - AP-00280

T2 - 19th Intelligent Transport Systems World Congress, ITS 2012

Y2 - 22 October 2012 through 26 October 2012

ER -

Accurate vehicle detection using stereo vision for toll collection systems

Abstract

Conference

Keywords

ASJC Scopus subject areas

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Cite this