과제정보
이 성과는 정부 (과학기술정보통신부)의 재원으로 한국연구재단의 지원을 받아 수행된 연구임 (No.RS-2023-0021248).
참고문헌
- 머니투데이, ""내년 추석엔 장거리 운전 편해진다"... 자율주행 '레벨3' 적용 신차는?," Retrieved April 26, 2023. https://news.mt.co.kr/mtview.php?no=2022090813293289390
- 인사이트42, "美, 레벨2 자율 주행 사고차 3대 중 2대는 '테슬라'," Retrieved April 26, 2023. https://www.tech42.co.kr/美-레벨2-자율주행-사고차-3대-중-2대는-테슬라/
- C. S Bae, Y. Y Park, T. T Tran, Y. LIU, H. G Lyu, S. B Joe, H. M. Joe. "형태학적 연산을 적용한 차선 인식,"대한전자공학회 학술대회, pp. 369-371. 2010. (in Korean)
- Y. Chen, M. He, Y. Zhang, "Robust Lane Detection Based on Gradient Direction," 2011 6th IEEE Conference on Industrial Electronics and Applications, Beijing, China, pp. 1547-1552, 2011.
- K. Y. Chiu, S. F. Lin, "Lane Detection Using Color-based Segmentation," in Intelligent Vehicles Symposium, 2005. Proceedings. IEEE, pp. 706-711, 2005.
- A. Mammeri, A. F. Boukerche, G. Lu, "Lane Detection and Tracking System Based on the MSER Algorithm, Hough Transform and Kalman Filter," International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems, pp. 259-266, 2014.
- Y. Zhang, Z. Lu, X. Zhang, J. H. Xue, Q. Liao, "Deep Learning in Lane Marking Detection: A Survey," in IEEE Transactions on Intelligent Transportation Systems, Vol. 23, No. 7, pp. 5976-5992, July 2022. https://doi.org/10.1109/TITS.2021.3070111
- H. Abualsaud, S. Liu, D. B. Lu, K. Situ, A. Rangesh and M. M. Trivedi, "LaneAF: Robust Multi-Lane Detection With Affinity Fields," in IEEE Robotics and Automation Letters, Vol. 6, No. 4, pp. 7477-7484, Oct. 2021. https://doi.org/10.1109/LRA.2021.3098066
- D. W. Jin, W. H. Park, S. G. Jeong, H. Y. Kwon, C S Kim, "Eigenlanes: Data-Driven Lane Descriptors for Structurally Diverse Laness," Accepted to Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 17163-17171, 2022.
- J. A. Hartigan, M. A. Wong, "Algorithm AS 136: A K-means Clustering Algorithm," Journal of the Royal Statistical Society. Series c (applied statistics), Vol. 28, No. 1, pp. 100-108. 1979. https://doi.org/10.2307/2346830
- D. W. Jin, W. H. Park, S. G. Jeong, C. S. Kim. "Harmonious Semantic Line Detection Via Maximal Weight Clique Selection," Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2021.
- L. Tabelini, R. Berriel, T. M. Paixao, C. Badue, A. F. De Souza, T. Oliveira-Santos "Polylanenet: Lane Estimation Via Deep Polynomial Regression," 2020 25th International Conference on Pattern Recognition (ICPR). IEEE, pp. 6150-6156, 2021.
- Z. Feng, S. Guo, X. Tan, K. Xu, M. Wang, L. Ma "Rethinking Efficient Lane Detection Via Curve Modeling," Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 17062-17070, 2022.
- X. Pan, J. Shi, P. Luo, X. Wang, X. Tan, "Spatial as Deep: Spatial cnn for Traffic Scene Understanding," Proceedings of the AAAI Conference on Artificial Intelligence. Vol. 32. No. 1. 2018.
- T. Zheng, H. Fang, Y. Zhang, W. Tang, Z. Yang, H. Liu, D. Cai, "Resa: Recurrent Feature-shift Aggregator for Lane Detection," Proceedings of the AAAI Conference on Artificial Intelligence. Vol. 35, No. 4, pp. 3547-3554, 2021.
- Z. Qin, H. Wang, X. Li "Ultra Fast Structure-aware Deep Lane Detection," Computer Vision-ECCV 2020: 16th European Conference, Glasgow, UK, August 23-28, 2020, Proceedings, Part XXIV 16. Springer International Publishing, pp. 276-291, 2020.
- Z. Qin, P. Zhang, X. Li, "Ultra Fast Deep Lane Detection with Hybrid Anchor Driven Ordinal Classification," IEEE Transactions on Pattern Analysis and Machine Intelligence 2022.