최소 단어 이상 선택하여야 합니다.
최대 10 단어까지만 선택 가능합니다.
다음과 같은 기능을 한번의 로그인으로 사용 할 수 있습니다.
NTIS 바로가기멀티미디어학회논문지 = Journal of Korea Multimedia Society, v.24 no.7, 2021년, pp.860 - 867
강현우 (Dept. of AI Engineering, Korea Polytechnics)
Lane detection is important technology for implementing ADAS or autonomous driving. Although edge detection has been typically used for the lane detection however, false detections occur frequently. To improve this problem, a deep learning based lane detection algorithm is proposed in this paper. Th...
Y. Kim and H. Kim, "Trends of Autonomous Vehicle Development," Information and Communication Magazine, Vol. 34, Issue 5, pp. 10-18, 2017.
E. Yurtsever, J. Lambert, A. Carballo, and K. Takeda, "A Survey of Autonomous Driving: Common Practices and Emerging Technologies," IEEE Access, vol. 8, pp. 58443-58469, Mar. 2020.
A. Ziebinski, et al., "Review of advanced driver assistance systems (ADAS)," AIP Conference Proceedings. Vol. 1906. No. 1. AIP Publishing LLC, 2017.
L. Meng, W. Kees, and R.V. Der Heijden, "Technical Feasibility of Advanced Driver Assistance Systems for Road Traffic Safety," Transportation Planning and Technolgy, Vol. 28, No. 3, pp. 167-187, Mar. 2005.
J. Son, H. Yoo, S. Kim, and K. Sohn, "RealTime Illumination Invariant Lane Detection for Lane Departure Warning System," Expert Systems with Applications, Vol. 42, No. 4, pp. 1816-1824, Oct. 2015.
K. Lee and C. Lin. "A New Efficient Detection Method in Lane Road Environment," Journal of Korea Institute of ITS, Vol. 17, No. 1, pp. 129-136, 2018.
D. Neven, et al., "Towards End-to-End Lane Detection: An Instance Segmentation Approach," IEEE Intelligent Vehicles Symposium (IV), pp. 286-291, 2018.
Q. Zou, et al., "Robust Lane Detection from Continuous Driving Scenes Using Deep Neural Networks," IEEE Transactions on Vehicular Technology, Vol. 69, No. 1 pp. 41-54, 2019.
A. Yaguchi, et al., "Adam Induces Implicit Weight Sparsity in Rectifier Neural Networks," 17th IEEE International Conference on Machine Learning and Applications (ICMLA). pp. 328-325, 2018.
NHTSA (National Highway Traffic Safety administration), https://www.nhtsa.gov/ (accessed June 10, 2021).
W. Liu, et al., "SSD: Single Shot Multibox Detector," European conference on computer vision. Springer, Cham, pp. 21-37, 2016.
K. Simonyan and A. Zisserman, "Very Deep Convolutional Networks for Large-Scale Image Recognition," arXiv Preprint, arXiv: 1409.1556, 2014.
F. Leymarie and M.D. Levine. "Simulating the Grassfire Transform Using an Active Contour Model," IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 14. No. 1 pp. 56-75, 1992.
L.G. Shapiro and G. Stockman, Computer Vision, 1st edition, Prentice Hall, pp. 69-73, 2002.
W. van Winsum, K.A. Brookhuis, and D. de Waard, "A Comparison of Different Ways to Approximate Time-to-Line Crossing (TLC) during Car Driving," Accident Analysis & Prevention Vol. 32. No. 1 pp. 47-56, 2000.
S. Mammar, S. Glaser, and M. Netto, "TIme to Line Crossing for Lane Departure Avoidance: A Theoretical Study and an Experimental Setting," IEEE Transactions on Intelligent Transportation Systems, Vol. 7. No. 2, pp. 226-241, 2006.
J. Lee and Y. Kang, "A Method of Lane Marker Detection Robust to Environmental Variation Using Lane Tracking," Korea Multimedia Society, Vol. 21, No. 12, pp. 1396-1406, 2018.
*원문 PDF 파일 및 링크정보가 존재하지 않을 경우 KISTI DDS 시스템에서 제공하는 원문복사서비스를 사용할 수 있습니다.
출판사/학술단체 등이 한시적으로 특별한 프로모션 또는 일정기간 경과 후 접근을 허용하여, 출판사/학술단체 등의 사이트에서 이용 가능한 논문
※ AI-Helper는 부적절한 답변을 할 수 있습니다.