Traffic violation alert and management

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.

[1]  S Rajalin,et al.  The connection between risky driving and involvement in fatal accidents. , 1994, Accident; analysis and prevention.

[2]  Elena Lopez,et al.  Visual Monitoring of Driver Inattention , 2008 .

[3]  Visvanathan Ramesh,et al.  A system for traffic sign detection, tracking, and recognition using color, shape, and motion information , 2005, IEEE Proceedings. Intelligent Vehicles Symposium, 2005..

[4]  Arturo de la Escalera,et al.  Traffic sign recognition and analysis for intelligent vehicles , 2003, Image Vis. Comput..

[5]  William J. Horrey,et al.  Driver-initiated distractions: examining strategic adaptation for in-vehicle task initiation. , 2009, Accident; analysis and prevention.

[6]  John D. Lee,et al.  Real-Time Detection of Driver Cognitive Distraction Using Support Vector Machines , 2007, IEEE Transactions on Intelligent Transportation Systems.

[7]  Michael Isard,et al.  Active Contours: The Application of Techniques from Graphics, Vision, Control Theory and Statistics to Visual Tracking of Shapes in Motion , 2000 .

[8]  Miguel Ángel Sotelo,et al.  Real-time system for monitoring driver vigilance , 2004, Proceedings of the IEEE International Symposium on Industrial Electronics, 2005. ISIE 2005..

[9]  William J Horrey,et al.  Assessing the awareness of performance decrements in distracted drivers. , 2008, Accident; analysis and prevention.

[10]  Mohan M. Trivedi,et al.  Video-based lane estimation and tracking for driver assistance: survey, system, and evaluation , 2006, IEEE Transactions on Intelligent Transportation Systems.

[11]  Tomer Toledo,et al.  In-vehicle data recorders for monitoring and feedback on drivers' behavior , 2008 .

[12]  Nikolaos Papanikolopoulos,et al.  Driver fatigue: a vision-based approach to automatic diagnosis , 2001 .

[13]  Thomas Kalinke,et al.  An image processing system for driver assistance , 2000, Image Vis. Comput..

[14]  Tarak Gandhi,et al.  Looking-In and Looking-Out of a Vehicle: Computer-Vision-Based Enhanced Vehicle Safety , 2007, IEEE Transactions on Intelligent Transportation Systems.