참고문헌
- Choi, J.S. (2015), Improving the Inspection Process of Base Surveying For National Base Map's Quality Enhancement, Master's thesis, University of Seoul, Seoul, Korea, 82p.
- Clementini, E., Sharma, J., and Egenhofer, M.J. (1994), Modelling topological spatial relations: Strategies for query processing. Computers and Graphics, Vol. 18, No. 6, pp. 815-822. https://doi.org/10.1016/0097-8493(94)90007-8
- Hong, S.P. and Kim, E.M. (2019), Classification of 3d road objects using machine learning, Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, Vol. 36, No. 6, pp. 535-544. (in Korean with English abstract) https://doi.org/10.7848/KSGPC.2018.36.6.535
- Hong, S.P., Seo, H.D., and Kim, E.M. (2018), Road object classification using a terrestrial laser data, Proceedings of Journal of Korean Society for Geospatial Information System, Korean Society for GeoSpatial Information Science, 1-2 November, Jeju, Korea, pp. 199-200.
- Jeong, J.H. and Lee, I.P. (2016), Classification of mobile LIDAR data acquired from urban roads based on eigenvalue ratios and support vector machine, Journal of the Korean Cadastre Information Association, Vol. 18, No. 2, pp. 195-206, (in Korean with English abstract)
- KAIA. (2017), Development and Verification of Rapid Detection Technology of Road Change for Supporting Autonomous Driving, pp. 14-65.
- Lee, J.K, Lee, D.J., and Jung, S.H. (2008), Development of digital map on-demand updating system, Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, Vol. 26, No. 5, pp. 537-546. (in Korean with English abstract)
- Lee, J.S., Park, C.T., and Park, K.S. (2005), Advanced process technique for field check data editing and structured editing on digital map ver2.0 applying automatic error detection method, Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, Vol. 23, No. 3, pp. 331-340. (in Korean with English abstract)
- Lehtomaki, M., Jaakkola, A., Hyyppa, J., Lampinen, J., Kaartinen, H., Kukko, A., Puttonen, E., and Hyyppa, H. (2015), Object classification and recognition from mobile laser scanning point clouds in a road environment, IEEE Transactions on Geoscience and Remote Sensing, Vol. 54, No. 2, pp. 1226-1239. https://doi.org/10.1109/TGRS.2015.2476502
- NGII. (2015), A Study on the Construction of HD Map for the Support of Autonomous Vehicle, pp. 33-71.
- NGII. (2019), Hd map construction manual, URL: https://www.ngii.go.kr/kor/contents/view.do?sq=1195&board_code=contents_data (last date accessed: 10 July 2020).
- Park, C.T. (2006), Study on Automated Error Detection Method for Enhancing Ver2.0 Digital Topographic, Maps, Master's thesis, Inha University, Incheon, Korea, 54p.
- Qi, C.R., Su, H., Mo, K., and Guibas, L.J. (2016), Pointnet: deep learning on point sets for 3d classification and segmentation, In Proceedings of the 2016 Conference on Computer Vision and Pattern Recognition, 26-1 July, Las Vegas, NV, USA, pp. 652-660.
- Qi, H. (2009), Detection and Generalization of Changes in Settlements for Automated Digital Map Updating, Ph.D. dissertation, Hong Kong Polytechnic University, Hong Kong, China, 165p.
- 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.
- Wikipedia. (2020), DE-9IM, Wikimedia Foundation, Inc., URL: https://https://en.wikipedia.org/wiki/DE-9IM (last date accessed: 10 August 2020)