Lazarek, JagodaPryczek, Michał2021-07-192021-07-192018Lazarek, J., & Pryczek, M. (2018). A Review on Point Cloud Semantic Segmentation Methods. Journal of Applied Computer Science, 26(2), 99-106. https://doi.org/10.34658/jacs.2018.26.2.99-1061507-0360http://hdl.handle.net/11652/3892https://doi.org/10.34658/jacs.2018.26.2.99-106Semantic segmentation of 3D point clouds is an open research problem and remains crucial for autonomous driving, robot navigation, human-computer interaction, 3D reconstruction and many others. The large scale of the data and lack of regular data organization make it a very complex task. Research in this field focuses on point cloud representation (e.g., 2D images, 3D voxels grid, graph) and segmentation techniques. In the paper, state-of-the-art approaches related to these tasks are presented.enFair use conditionDla wszystkich w zakresie dozwolonego użytkupoint cloudssegmentationclassificationlaser scanningchmury punktówsegmentacjaklasyfikacjaskanowanie laseroweA Review on Point Cloud Semantic Segmentation MethodsArtykułLUT LicenseLicencja PŁhttps://doi.org/10.34658/jacs.2018.26.2.99-10610.34658/jacs.2018.26.2.99-106