Jae-Hyun Cho, Erdenetuya Tsogtbaatar, Seong-Hoon Kim, Young-Min Jang, Pham Minh Luan Nguyen, Sang-Bock Cho
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Improved lane detection system using Hough transform with super-resolution reconstruction algorithm and multi-ROI
Nowadays, due to the increasing need for using black boxes in vehicles, an evolving market is being created; that for example in South Korea, more than 1 million vehicles have been equipped with this device. In this paper, in order to improve the lane detection recognition via Hough transform, we improved the algorithm by set multi-ROI to reduce error rates and unrecognized part of the outside something as a lane. And we applied super-resolution reconstruction to correct the image. Through the proposed algorithm, proposed algorithm increase 0.6% of lane recognition rate and by setting multi-ROI irregular part of the road does not recognize so lane detection error rate was reduced significantly.