Formation-based 3D mapping of micro aerial vehicles
College
Gokongwei College of Engineering
Department/Unit
Electronics And Communications Engg
Document Type
Conference Proceeding
Source Title
Proceedings of the 2019 IEEE/SICE International Symposium on System Integration, SII 2019
First Page
342
Last Page
345
Publication Date
4-25-2019
Abstract
Micro Aerial Vehicles have brought tremendous interests to the research community, particularly in localization and mapping. While there are many commercially available sensors, such as Laser Range Finders (LRF) and RGBD cameras, that provide accurate 3D maps, they usually have significant power and payload requirements. This means, small flying robots are unable to handle such sensors. This study explores the possibility of collaborative mapping using formations from multiple simple cameras to obtain an accurate map similar to that of the LRF and RGBD cameras. By using multiple small robots and integrating them as one, we have created a platform for 3D reconstruction in which formations can be incorporated. Thus, the proposed method can be used with a low-cost system for surveying, disaster management, and surveillance in the future. © 2019 IEEE.
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Digitial Object Identifier (DOI)
10.1109/SII.2019.8700377
Recommended Citation
Padilla, M. F., Chirarattananon, P., Bandala, A. A., Vicerra, R. P., Baldovino, R. G., & Dadios, E. P. (2019). Formation-based 3D mapping of micro aerial vehicles. Proceedings of the 2019 IEEE/SICE International Symposium on System Integration, SII 2019, 342-345. https://doi.org/10.1109/SII.2019.8700377
Disciplines
Electrical and Computer Engineering
Keywords
Three-dimensional imaging; Micro air vehicles
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