Driver behavior monitoring system based on traffic violation

Nourdine Aliane; Javier Fernandez; Sergio Bemposta; Mario Mata

doi:10.1109/IVS.2012.6232176

Driver behavior monitoring system based on traffic violation

Nourdine Aliane, Javier Fernandez, Sergio Bemposta, Mario Mata

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

Abstract

This paper describes the overall framework and components of an experimental platform for driver behavior monitoring based on driver's traffic violation records. This platform is composed of two separate subsystems: a driver assistance system based on road sign detection and recognition, and a traffic violation recording unit in which the vehicle is involved. The system provides drivers with their traffic violation records allowing them to visualize the spatial and temporal information of their traffic violation using the standard Google Earth tool. This feedback can be used to persuade drivers in changing their driving styles by instilling improved behavior. The paper covers firstly the description of the hardware architecture and then presents the developed functionalities.

Original language	English
Title of host publication	2012 IEEE Intelligent Vehicles Symposium
Publisher	IEEE
Pages	1096-1101
Number of pages	6
ISBN (Electronic)	9781467321181
ISBN (Print)	9781467321198
DOIs	https://doi.org/10.1109/IVS.2012.6232176
Publication status	Published - Aug 2012

Keywords

vehicles
roads
monitoring
GPS
object recognition

Documents and Links

10.1109/IVS.2012.6232176

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Cite this

@inproceedings{36a07b3432954bf39c213b7ef2fd6c3e,

title = "Driver behavior monitoring system based on traffic violation",

abstract = "This paper describes the overall framework and components of an experimental platform for driver behavior monitoring based on driver's traffic violation records. This platform is composed of two separate subsystems: a driver assistance system based on road sign detection and recognition, and a traffic violation recording unit in which the vehicle is involved. The system provides drivers with their traffic violation records allowing them to visualize the spatial and temporal information of their traffic violation using the standard Google Earth tool. This feedback can be used to persuade drivers in changing their driving styles by instilling improved behavior. The paper covers firstly the description of the hardware architecture and then presents the developed functionalities.",

keywords = "vehicles, roads, monitoring, GPS, object recognition",

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

year = "2012",

month = aug,

doi = "10.1109/IVS.2012.6232176",

language = "English",

isbn = "9781467321198",

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booktitle = "2012 IEEE Intelligent Vehicles Symposium",

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AU - Aliane, Nourdine

AU - Fernandez, Javier

AU - Bemposta, Sergio

AU - Mata, Mario

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N2 - This paper describes the overall framework and components of an experimental platform for driver behavior monitoring based on driver's traffic violation records. This platform is composed of two separate subsystems: a driver assistance system based on road sign detection and recognition, and a traffic violation recording unit in which the vehicle is involved. The system provides drivers with their traffic violation records allowing them to visualize the spatial and temporal information of their traffic violation using the standard Google Earth tool. This feedback can be used to persuade drivers in changing their driving styles by instilling improved behavior. The paper covers firstly the description of the hardware architecture and then presents the developed functionalities.

AB - This paper describes the overall framework and components of an experimental platform for driver behavior monitoring based on driver's traffic violation records. This platform is composed of two separate subsystems: a driver assistance system based on road sign detection and recognition, and a traffic violation recording unit in which the vehicle is involved. The system provides drivers with their traffic violation records allowing them to visualize the spatial and temporal information of their traffic violation using the standard Google Earth tool. This feedback can be used to persuade drivers in changing their driving styles by instilling improved behavior. The paper covers firstly the description of the hardware architecture and then presents the developed functionalities.

KW - vehicles

KW - roads

KW - monitoring

KW - GPS

KW - object recognition

U2 - 10.1109/IVS.2012.6232176

DO - 10.1109/IVS.2012.6232176

M3 - Conference contribution

SN - 9781467321198

SP - 1096

EP - 1101

BT - 2012 IEEE Intelligent Vehicles Symposium

PB - IEEE

ER -