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Traffic Data Extraction for Road Safety Improvement

Flavien Somda 1 Hervé Cormerais 2
1 IETR - Institut d'Electronique et de Télécommunications de Rennes
2 IETR - Institut d'Électronique et des Technologies du numéRique
Abstract : This paper demonstrates the benefit of scanning perception systems especially scanning radars on vehicle detection in ITS applications. Theoretical results prove that the distance of detection can be drastically improved and traffic scenarios be recognized with the use of scanning systems. Higher detection distance enables suitable anticipative actions in the vehicles control for avoiding car accidents.
Keywords : Scanning radar scenarios visibility distance Intelligent Transportation Systems
Document type :
Conference papers
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https://hal-supelec.archives-ouvertes.fr/hal-00422266
Contributor : Myriam Andrieux <>
Submitted on : Tuesday, October 6, 2009 - 1:57:05 PM
Last modification on : Friday, January 8, 2021 - 3:41:54 AM

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  • HAL Id : hal-00422266, version 1

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CNRS | SUPELEC | SUP_IETR | SUP_ASH | UNIV-RENNES1 | IETR | TDS-MACS | UNIV-NANTES | UR1-UFR-ISTIC | IETR-AUT | UNIV-RENNES | INSA-GROUPE | INSA-RENNES

Citation

Flavien Somda, Hervé Cormerais. Traffic Data Extraction for Road Safety Improvement. ITS World Congress 2009, Sep 2009, Stockholm, Sweden. Paper ID 3673 - Proceedings on CD-Rom. ⟨hal-00422266⟩

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