A robust lane detection using real-time voting processor

We describe a lane detection method using RVP-I (Real-time Voting Processor-I) for a driver assistance system and an auto driving system. For robust lane detection in various environments, we propose a method based on complete search in a parameter space. The performance of the proposed method has been investigated on 1000 road images of bad conditions. A 95% detection rate is obtained in comparison with 81% of our previous method. Thus the proposed method is effective for robustness of lane detection.

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