Adaptive Key-point Extraction Algorithm for Segmentation-based Lane Detection Network
Author:
Funder
National Research Foundation of Korea
Publisher
Korea Computer Graphics Society
Subject
General Medicine
Link
http://journal.cg-korea.org/download/download_pdf?doi=10.15701/kcgs.2022.29.1.1
Reference28 articles.
1. J. Y. Baek, and M. C. Lee, “Lane Recognition Using Lane Prominence Algorithm for Unmanned Vehicles”, Journal of Institute of Control, Robotics and Systems (ICROS), Vol. 16, No. 7, pp. 625-631, 2010 10.5302/J.ICROS.2010.16.7.625
2. K.-S. Lee, S.-W. Heo, and T.-H. Park, “A Lane Detection and Tracking Method Using Image Saturation and Road Width Data”, Journal of Institute of Control, Robotics and Systems (ICROS), Vol. 25, No. 5, pp. 476-483, 2019 10.5302/J.ICROS.2019.19.0008
3. Z. Kim, “Robust lane detection and tracking in challenging scenarios,” IEEE Transactions on intelligent trans- portation systems, vol. 9, no. 1, pp. 16–26, 2008. 10.1109/TITS.2007.908582
4. M. Aly, “Real time detection of lane markers in urban streets,” IEEE Intelligent Vehicles Symposium. pp. 7–12, 2008. 10.1109/IVS.2008.4621152
5. G. Liu, F. Wörgötter, and I. Markelic, “Combining statistical hough´ transform and particle filter for robust lane detection and tracking,” IEEE Intelligent Vehicles Symposium. pp. 993–997, 2010. 10.1109/IVS.2010.5548021
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