Acknowledgement
이 논문은 2023년도 정부(산업통상자원부)의 재원으로 한국산업기술진흥원의 지원을 받아 수행된 연구임. (P0017124, 2023년 산업혁신인재성장지원사업)
References
- F. Wang, Y. Zhuang, H. Gu, H. Hu, "Automatic Generation of Synthetic LiDAR Point Clouds for 3-D Data Analysis," IEEE Trans. of Instrumentation and Measurement, vol. 68, no. 7, pp. 2671-2673, July 2019. doi: https://doi.org/10.1109/TIM.2019.2906416
- S. Chitnis, Z. Huang, K. Khoshelham, "Generating Synthetic 3D Point Segment for Improved Classification of Mobile LiDAR Point Clouds," The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 139-144, 2021. doi: https://doi.org/DOI:10.5194/isprs-archives-XLIII-B2-2021-139- 2021
- J. Beltran et al., "A Method for Synthetic LiDAR Generation to Create Annotated Datasets for Autonomous Vehicles Perception," 2019 IEEE Intelligent Transportation Systems Conference (ITSC), Auckland, New Zealand, pp. 1091-1096, 2019. doi: https://doi.org/10.1109/ITSC.2019.8917176
- M. Hossny, K. Saleh, M. Attia, A. Abobakr, J. Iskander, "Fast Synthetic LiDAR Rendering via Spherical UV Unwrapping of Equirectangular Z-Buffer Images," Computer Vision and Pattern Recognition, Image and Video Processing, June 2020. doi: https://doi.org/10.48550/arXiv.2006.04345
- X. Yue et al., "A LiDAR Point Cloud Generator: from a Virtual World to Autonomous Driving," Computer Vision and Pattern Recognition, pp. 458-464, June 2018. doi: https://doi.org/10.1145/3206025.3206080
- S. Yoon et al., "Development of Autonomous Vehicle Learning Data Generation System," The Journal of The Korea Institute of Intelligent Transport Systems, vol. 19, no. 5. The Korea Institute of Intelligent Transport Systems, pp. 162-177, 2020. doi: https://doi.org/10.12815/kits.2020.19.5.162
- A. Geiger, P. Lenz and R. Urtasun, "Are we ready for autonomous driving? The KITTI vision benchmark suite," 2012 IEEE Conference on Computer Vision and Pattern Recognition, Providence, RI, USA, pp. 3354-3361, 2012. doi: https://doi.org/10.1109/CVPR.2012.6248074
- J. Deng, S. Shi, P. Li, W. Zhou, Y. Zhang, H. Li, "Voxel R-CNN: Towards High Performance Voxel-based 3D Object Detection," Proceedings of the AAAI Conference on Artificial Intelligence, vol. 35, pp. 1201-1209, May 2021. doi: https://doi.org/10.1609/aaai.v35i2.16207
- R. B. Rusu and S. Cousins, "3D is here: Point Cloud Library (PCL)," 2011 IEEE International Conference on Robotics and Automation, Shanghai, China, pp. 1-4, 2011. doi: https://doi.org/10.1109/ICRA.2011.5980567
- Q. Zhou, J. Park, V. Koltun, "Open3D: A Modern Library for 3D Data Processing," 2018. doi: https://doi.org/10.48550/arXiv.1801.09847