Abstract
| 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 | |
| Publication status | Published - Aug 2012 |
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Keywords
- vehicles
- roads
- monitoring
- GPS
- object recognition
Cite this
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Driver behavior monitoring system based on traffic violation. / Aliane, Nourdine; Fernandez, Javier; Bemposta, Sergio; Mata, Mario.
2012 IEEE Intelligent Vehicles Symposium. IEEE, 2012. p. 1096-1101.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - Driver behavior monitoring system based on traffic violation
AU - Aliane, Nourdine
AU - Fernandez, Javier
AU - Bemposta, Sergio
AU - Mata, Mario
PY - 2012/8
Y1 - 2012/8
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 -