최소 단어 이상 선택하여야 합니다.
최대 10 단어까지만 선택 가능합니다.
다음과 같은 기능을 한번의 로그인으로 사용 할 수 있습니다.
NTIS 바로가기한국측량학회지 = Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, v.39 no.3, 2021년, pp.133 - 139
최인하 (Dept. of Spatial Information Engineering, Namseoul University) , 김의명 (Dept. of Drone.GIS Engineering, Namseoul University)
Currently, the process of constructing a high-definition road map has a high proportion of manual labor, so there are limitations in construction time and cost. Research to automate map production with high-definition road maps using artificial intelligence is being actively conducted, but since the...
Axelsson, P. (2000), DEM generation from laser scanner data using adaptive TIN model, International Archives of Photogrammetry and Remote Sensing, Vol. 33, pp. 110-117.
Bleau, A. and Leon, L.J. (2000), Watershed-based segmentation and region merging, Computer Vision and Image Understanding, Vol. 77, No. 3, pp. 317-370.
Bodansky, E., Gribov, A., and Pilouk, M. (2002), Smoothing and compression of lines obtained by raster-to-vector conversion, Lecture Notes in Computer Science 2390, Springer, pp. 256-265.
Douglas, D.H. and Peucker, T.K. (1973), Algorithms for the reduction of the number of points required to represent a digitised line or its caricature, The Canadian Cartographer, Vol. 10, No. 2, pp. 112-122.
Jenson, S.K. and Domingue, J.O. (1988), Extracting topographic structure from digital elevation data for geographic information system analysis, Photogrammetric Engineering and Remote Sensing, Vol. 54, No. 11, pp. 1593-1600.
Lee, S.J., Kim, J.S., Yoon, J.S., Shin, S.H., Bailo, O., Kim, N.I., Lee, T.H., Hong, H.S., Han, S.H., and Kweon, I.S. (2017), VPGNet: vanishing point guided network for lane and road marking detection and recognition, International Conference on Computer Vision (ICCV), pp. 1947-1955.
Park, Y.K., Kang, W.P., Choi, J.E., and Kim, B.J. (2019), A study on the evaluation of real-time map update technology for automated driving, Journal of the Korean Association of Geographic Information Studies, Vol. 22. No. 3, pp. 146-154. (in Korean with English abstract)
Qi, C.R, Su, H., Mo, K., and Gulibas, L.J (2017), PointNet: deep learning on point sets for 3D classification and segmentation, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 652-660.
So, J.H. and Moon, Y.J. (2018), Plan for autonomous cooperation driving safety and infrastructure implementation, The Journal of The Korean Institute of Communication Sciences, Vol. 35, No. 5, pp. 37-43.
Soilan, M., Riveiro, B., Martinez-Sanchez, J., and Arias, P. (2017). Segmentation and classification of road markings using MLS data. ISPRS Journal of Photogrammetry and Remote Sensing. Vol. 123, pp. 94-103.
Wang, Z., Ren, W., and Qiu, Q. (2018). LaneNet: real-time lane detection networks for autonomous driving. arXiv:1807.01726.
Wen, C., Sun, X., Li, J., Wang, C., Guo. Y., and Habib, A. (2019). A deep learning framework for road marking extraction, classification and completion from mobile laser scanning point clouds, ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 147, pp. 178-192.
Wold, S., Esbensen, K., and Geladi, P. (1987), Principal component analysis. Chemometrics and Intelligent Laboratory Systems, Vol. 2, pp. 37-52.
*원문 PDF 파일 및 링크정보가 존재하지 않을 경우 KISTI DDS 시스템에서 제공하는 원문복사서비스를 사용할 수 있습니다.
오픈액세스 학술지에 출판된 논문
※ AI-Helper는 부적절한 답변을 할 수 있습니다.