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Vehicle Collision Warning System Using YOLO by 羅裕耀 is a document available to read on EtoBox.

What is Vehicle Collision Warning System Using YOLO about?

This research article presents a forward collision warning system that integrates the YOLO algorithm for vehicle detection and the Kalman filter for vehicle tracking. The system utilizes monocular vision for distance measurement and calculates time to collision (TTC) to trigger warnings, aiming to enhance road safety by reducing traffic accidents. Experimental results indicate that the proposed model effectively predicts collisions and minimizes false alarms in real traffic scenarios.

Author

羅裕耀

Language

EN