Review on 3D Mapping and Segmentation
| Autor: | Sowmyarani C N, Akash Kuamr Ghanate, Santhosh M Patil, Ramakanth Kumar P, Aashish M |
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| Přispěvatelé: | Blue Eyes Intelligence Engineering and Sciences Publication(BEIESP) |
| Rok vydání: | 2020 |
| Předmět: |
Environmental Engineering
Computer science business.industry ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION General Engineering Pattern recognition 2249-8958 Computer Science Applications 3d mapping E1020069520/2020©BEIESP 3D Mapping JSNet Segmentation SLAM Sfm PointNet Segmentation Artificial intelligence business |
| Zdroj: | International Journal of Engineering and Advanced Technology. 9:22-29 |
| ISSN: | 2249-8958 |
| DOI: | 10.35940/ijeat.e1020.089620 |
| Popis: | The deployment of a robot in a remote environment is a field of research that has huge applications. The robotic system must have the capability of sensing its surroundings and being aware of what it is around. We concluded two key tasks for this purpose, which are 3D mapping and segmentation. This paper shows a comprehensive review of the different 3D mapping and segmentation methods. Mapping techniques include those using RGB images, RGBD images and LIDAR. Segmentation techniques include PointNet, PointNet++, 3D semantic and instance segmentation and joint instance segmentation. We also describe two end-to-end approaches for mapping and segmentation. These methods are reviewed elaborately, comparisons are drawn between them, challenges are presented and future directions in addressing these challenges are pointed out. |
| Databáze: | OpenAIRE |
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