3D Reconstruction Framework for Multiple Remote Robots on Cloud System
AbstractThis paper proposes a cloud-based framework that optimizes the three-dimensional (3D) reconstruction of multiple types of sensor data captured from multiple remote robots. A working environment using multiple remote robots requires massive amounts of data processing in real-time, which cannot be achieved using a single computer. In the proposed framework, reconstruction is carried out in cloud-based servers via distributed data processing. Consequently, users do not need to consider computing resources even when utilizing multiple remote robots. The sensors’ bulk data are transferred to a master server that divides the data and allocates the processing to a set of slave servers. Thus, the segmentation and reconstruction tasks are implemented in the slave servers. The reconstructed 3D space is created by fusing all the results in a visualization server, and the results are saved in a database that users can access and visualize in real-time. The results of the experiments conducted verify that the proposed system is capable of providing real-time 3D scenes of the surroundings of remote robots. View Full-Text
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Chu, P.M.; Cho, S.; Fong, S.; Park, Y.W.; Cho, K. 3D Reconstruction Framework for Multiple Remote Robots on Cloud System. Symmetry 2017, 9, 55.
Chu PM, Cho S, Fong S, Park YW, Cho K. 3D Reconstruction Framework for Multiple Remote Robots on Cloud System. Symmetry. 2017; 9(4):55.Chicago/Turabian Style
Chu, Phuong M.; Cho, Seoungjae; Fong, Simon; Park, Yong W.; Cho, Kyungeun. 2017. "3D Reconstruction Framework for Multiple Remote Robots on Cloud System." Symmetry 9, no. 4: 55.
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