Development of a Low-Cost 3D Mapping Technology with 2D LIDAR for Path Planning Based on the A$$^*$$ Algorithm
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Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-58676-7_5
Reference13 articles.
1. Behley, J., et al.: Towards 3D LiDAR-based semantic scene understanding of 3D point cloud sequences: The SemanticKITTI Dataset. Int. J. Robot. Res. 40(8–9), 959–967 (2021)
2. Behley, J., et al.: SemanticKITTI: a dataset for semantic scene understanding of LiDAR Sequences. In: Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) (2019)
3. Bi, S., Yuan, C., Liu, C., Cheng, J., Wang, W., Cai, Y.: A survey of low-cost 3D laser scanning technology. Appl. Sci. 11(9), 3938 (2021)
4. Bierende, J., Braun, J., Costa, P., Lima, J., Pereira, A.I.: Volume Estimation of an Indoor Space with LiDAR Scanner. In: Pereira, A.I., Košir, A., Fernandes, F.P., Pacheco, M.F., Teixeira, J.P., Lopes, R.P. (eds.) Optimization, Learning Algorithms and Applications: Second International Conference, OL2A 2022, Póvoa de Varzim, Portugal, October 24-25, 2022, Proceedings, pp. 78–92. Springer International Publishing, Cham (2022). https://doi.org/10.1007/978-3-031-23236-7_6
5. CTaylor: Neato robotics xv-11 tear-down. https://www.sparkfun.com/news/490 (2010). Accessed 12 June 2023
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