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A Forward Collision Warning System for Smartphones Using Image Processing and V2V Communication.
Subhadeep Patra1,2, Peter Veelaert3, Carlos T Calafate4
1Department of Telecommunications and Information Processing, Ghent University, Sint-Pietersnieuwstraat 41, Ghent 9000, Belgium. subpat@doctor.upv.es.
This study introduces a smartphone application for forward collision warnings. It uses license plate recognition and vehicle communication to alert drivers about potential collisions due to unsafe following distances.
Area of Science:
- Computer Science
- Automotive Engineering
- Traffic Safety
Background:
- Road safety is a significant concern, with forward collisions often resulting from inadequate following distances.
- Existing driver assistance systems can be costly and are not universally integrated into vehicles.
- The proliferation of smartphones presents an opportunity for developing accessible safety applications.
Purpose of the Study:
- To develop and evaluate a smartphone-based forward collision warning (FCW) application.
- To investigate the use of license plate recognition (LPR) and vehicular communication for collision avoidance.
- To assess the application's effectiveness in various driving scenarios.
Main Methods:
- The application utilizes smartphone cameras for license plate recognition (LPR) to identify vehicles ahead and behind.
- It incorporates vehicular communication protocols to exchange safety-related information between vehicles.
- Warnings are generated when the distance between vehicles falls below a safe threshold, considering the speed differential.
Main Results:
- The application successfully generated timely warnings in both static and mobile testing scenarios.
- License plate recognition proved effective in identifying vehicles for distance calculation.
- Smartphone hardware limitations were identified as a factor influencing the application's real-time performance.
Conclusions:
- A smartphone application using LPR and vehicular communication can provide effective forward collision warnings.
- The system offers a potentially low-cost solution for enhancing road safety.
- Further optimization is needed to overcome hardware constraints for widespread adoption.

