3차원 기하 딥러닝 기술의 BIM 공간 정합성 검토 적용 사례

과제정보

본 연구는 국토교통부/국토교통과학기술진흥원의 지원으로 수행되었습니다. (과제번호 22AATD-C163269-2)

참고문헌

1. Bloch, T., & Sacks, R. (2018). Comparing machine learning and rule-based inferencing for semantic enrichment of BIM models. Automation in Construction, 91, 256-272. https://doi.org/10.1016/j.autcon.2018.03.018
2. Bronstein, M. M., Bruna, J., LeCun, Y., Szlam, A., & Vandergheynst, P. (2017). Geometric deep learning: going beyond euclidean data. IEEE Signal Processing Magazine, 34(4), 18-42.
3. Welling, M., & Kipf, T. N. (2016). Semi-supervised classification with graph convolutional networks. In J. International Conference on Learning Representations (ICLR 2017).