Design and implementation of fine-grained realistic 3D virtual simulation experiment

[1] Yang, Y., & Hu, D. (2018). Natural capital utilization based on a three-dimensional ecological footprint model: a case study in northern shaanxi, china. Ecological Indicators, 87(APR.), 178-188. Search in Google Scholar

[2] Damm, J., Ummenhofer, T., & Albiez, M. (2020). Influence of damping properties of adhesively bonded joints on the dynamic behaviour of steel structures: numerical investigations. The Journal of Adhesion (94), 1-29. Search in Google Scholar

[3] Makkia, R., Nelson, K., Zaidi, H., & Dingfelder, M. (2019). Construction of realistic hybrid computational pregnant phantoms for radiation risk assessment. Medical Physics, (6), 46. Search in Google Scholar

[4] Feifei, X., Zongjian, L., & Guozhong, S. (2017). Building texture acquisition and processing based on an unmanned airship low-altitude aerial survey system. Appl Opt, 56(27), 7648-7655. Search in Google Scholar

[5] Yang, B., Ali, F., Zhou, B., Li, S., Yu, Y., & Yang, T., et al. (2022). A novel approach of efficient 3d reconstruction for real scene using unmanned aerial vehicle oblique photogrammetry with five cameras. Computers & Electrical Engineering, 99, 107804-. Search in Google Scholar

[6] Leipner, T. (2017). Simulation of mirror surfaces for virtual estimation of visibility lines for 3d motor vehicle collision reconstruction. Forensic science international, 279. Search in Google Scholar

[7] Bi, H., Zheng, W., Ren, Z., Zeng, J., & Yu, J. (2017). Using an unmanned aerial vehicle for topography mapping of the fault zone based on structure from motion photogrammetry. International Journal of Remote Sensing, 38(8-10), 2495-2510. Search in Google Scholar

[8] Moon, D., Chung, S., Kwon, S., Seo, J., & Shin, J. (2019). Comparison and utilization of point cloud generated from photogrammetry and laser scanning: 3d world model for smart heavy equipment planning. Automation in construction, 98(FEB.), 322-331. Search in Google Scholar

[9] Lu, M. K., Lam, T. Y., Perng, B. H., & Lin, H. T. (2019). Close-range photogrammetry with spherical panoramas for mapping spatial location and measuring diameters of trees under forest canopies. Canadian Journal of Forest Research, 49(8), 865-874. Search in Google Scholar

[10] Rai, A., Scovell, J., Balasubramanian, A., Xu, A., Siller, R., & Kohn, T. P., et al. (2017). Pd46-12 virtual simulation improves a novice′s ability to? localize renal tumors in 3d physical models?–a multi-institutional prospective randomized controlled study. Journal of Urology, 197(4), e895. Search in Google Scholar

[11] Yu, Z., Jiang, Q., & Li, X. (2020). Mpp: a novel algorithm for estimating vehicle space headways from a single image. Journal of Advanced Transportation, 2020(6), 1-16. Search in Google Scholar

[12] Parizad, A., Mohamadian, S., Iranian, M. E., & Guerrero, J. M. (2019). Power system real-time emulation: a practical virtual instrumentation to complete electric power system modeling. IEEE Transactions on Industrial Informatics, (2). Search in Google Scholar

[13] Tang, H. (2019). Three-dimensional forest growth simulation in virtual geographic environments. Earth Science Informatics, 12(1). Search in Google Scholar

[14] Ni, D., Song, A., Xu, X., Li, H., Zhu, C., & Zeng, H. (2017). 3d-point-cloud registration and real-world dynamic modelling-based virtual environment building method for teleoperation- corrigendum. Robotica, 1. Search in Google Scholar

[15] Cho, O. H., & Hong, S. D. (2017). Real-time 3d fluid simulation digital art using bci. Journal of Real-Time Image Processing, 13(3), 419-429. Search in Google Scholar

[16] Shi, L., Li, B., Kim, C., Kellnhofer, P., & Matusik, W. (2021). Towards real-time photorealistic 3d holography with deep neural networks. Nature, 591(7849), 234-239. Search in Google Scholar

[17] Wang, Rui, Liu, Jinkun, School, & of, et al. (2017). Adaptive formation control of quadrotor unmanned aerial vehicles with bounded control thrust. Chinese Journal of Aeronautics, 02(v.30; No.137), 345-355. Search in Google Scholar

[18] Adrian, C., Carlos, S., Alejandro, R. R., & Pascual, C. (2017). A review of deep learning methods and applications for unmanned aerial vehicles. Journal of Sensors, 2017, 1-13. Search in Google Scholar