Traffic violation alert and management.

Nourdine Aliane; Javier Fernandez; Sergio Bemposta; Mario Mata

doi:10.1109/ITSC.2011.6082811

Traffic violation alert and management.

Nourdine Aliane, Javier Fernandez, Sergio Bemposta, Mario Mata

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

The present paper presents an in-vehicle system for traffic violation alert and management. The system hardware consists of a combination of an on-board computer vision system for traffic sign detection and recognition with a data recorder device for traffic violation alert and management. At present, traffic violations are only focused on three signs: namely speed limit, stop sign, and forbidden turning. The system is designed to warn drivers about potential traffic violations by emitting acoustical messages through vehicle loudspeakers. These messages are issued with sufficient notice to provide the driver with enough time to react to the oncoming traffic situation. However, when a traffic violation is committed, the corresponding offence information such as vehicle speed, GPS location, and other driving parameters, are saved in a database for off-line analysis. In addition, an auxiliary application permits the registered traffic violations to be represented as a standard Google Earth map. The prototype was tested in a real scene under different lighting conditions and showed reasonable results.

Original language	English
Title of host publication	2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC 2011)
Publisher	IEEE
Pages	1716-1720
Number of pages	5
ISBN (Electronic)	9781457721977
ISBN (Print)	9781457721984
DOIs	https://doi.org/10.1109/ITSC.2011.6082811
Publication status	Published - Nov 2011

Keywords

vehicles
accidents
GPS
computer vision
roads
hardware

Documents and Links

10.1109/ITSC.2011.6082811

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Cite this

@inproceedings{9ba962159b8c4cbc9c7e2beffd8d77c0,

title = "Traffic violation alert and management.",

abstract = "The present paper presents an in-vehicle system for traffic violation alert and management. The system hardware consists of a combination of an on-board computer vision system for traffic sign detection and recognition with a data recorder device for traffic violation alert and management. At present, traffic violations are only focused on three signs: namely speed limit, stop sign, and forbidden turning. The system is designed to warn drivers about potential traffic violations by emitting acoustical messages through vehicle loudspeakers. These messages are issued with sufficient notice to provide the driver with enough time to react to the oncoming traffic situation. However, when a traffic violation is committed, the corresponding offence information such as vehicle speed, GPS location, and other driving parameters, are saved in a database for off-line analysis. In addition, an auxiliary application permits the registered traffic violations to be represented as a standard Google Earth map. The prototype was tested in a real scene under different lighting conditions and showed reasonable results.",

keywords = "vehicles, accidents, GPS, computer vision, roads, hardware",

author = "Nourdine Aliane and Javier Fernandez and Sergio Bemposta and Mario Mata",

year = "2011",

month = nov,

doi = "10.1109/ITSC.2011.6082811",

language = "English",

isbn = "9781457721984",

pages = "1716--1720",

booktitle = "2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC 2011)",

publisher = "IEEE",

}

TY - GEN

T1 - Traffic violation alert and management.

AU - Aliane, Nourdine

AU - Fernandez, Javier

AU - Bemposta, Sergio

AU - Mata, Mario

PY - 2011/11

Y1 - 2011/11

N2 - The present paper presents an in-vehicle system for traffic violation alert and management. The system hardware consists of a combination of an on-board computer vision system for traffic sign detection and recognition with a data recorder device for traffic violation alert and management. At present, traffic violations are only focused on three signs: namely speed limit, stop sign, and forbidden turning. The system is designed to warn drivers about potential traffic violations by emitting acoustical messages through vehicle loudspeakers. These messages are issued with sufficient notice to provide the driver with enough time to react to the oncoming traffic situation. However, when a traffic violation is committed, the corresponding offence information such as vehicle speed, GPS location, and other driving parameters, are saved in a database for off-line analysis. In addition, an auxiliary application permits the registered traffic violations to be represented as a standard Google Earth map. The prototype was tested in a real scene under different lighting conditions and showed reasonable results.

AB - The present paper presents an in-vehicle system for traffic violation alert and management. The system hardware consists of a combination of an on-board computer vision system for traffic sign detection and recognition with a data recorder device for traffic violation alert and management. At present, traffic violations are only focused on three signs: namely speed limit, stop sign, and forbidden turning. The system is designed to warn drivers about potential traffic violations by emitting acoustical messages through vehicle loudspeakers. These messages are issued with sufficient notice to provide the driver with enough time to react to the oncoming traffic situation. However, when a traffic violation is committed, the corresponding offence information such as vehicle speed, GPS location, and other driving parameters, are saved in a database for off-line analysis. In addition, an auxiliary application permits the registered traffic violations to be represented as a standard Google Earth map. The prototype was tested in a real scene under different lighting conditions and showed reasonable results.

KW - vehicles

KW - accidents

KW - GPS

KW - computer vision

KW - roads

KW - hardware

U2 - 10.1109/ITSC.2011.6082811

DO - 10.1109/ITSC.2011.6082811

M3 - Conference contribution

SN - 9781457721984

SP - 1716

EP - 1720

BT - 2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC 2011)

PB - IEEE

ER -