1. Jean-Emmanuel Deschaud.: Imls-slam: scan-to-model matching based on 3d data. In Proceedings of the International Conference on Robotics and Automation. pp. 2480–2485. (2018)
2. Jay, M.W., Vincent, K., Tiffany, L., Syler, W., Gian, L.M., Abraham, S., Lei, H., Rahul, C., Mitchell, H., David, M.S.J., Jimmy, W., Bolei, Z., Antonio, T.: Segicp.: Integrated deep semantic segmentation and pose estimation. In Proceedings of the International Conference on Intelligent Robots and Systems.pp. 5784–5789 (2017)
3. Thomas Probst, Danda Pani Paudel, Ajad Chhatkuli, Luc Van Gool.: Unsupervised learning of consensus maximization for 3d vision problems. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. pp. 929–938 (2019)
4. Besl, P.J., Mckay, N.D.: A method for registration of 3-D shapes. Proc SPIE Int Soc Opt Eng 14(3), 239–256 (1992)
5. Yang, J., Li, H., Campbell, D., et al.: Go-ICP: a globally optimal solution to 3D ICP Point-Set registration. IEEE Trans. Pattern Anal. Mach. Intell.Intell. 38(11), 2241–2254 (2016)