Yu.A. Manyakov – Ph.D.(Eng.), Senior Research Scientist.
A.I. Sorokin – Junior Research Scientist.
O.A. Yakovlev – Junior Research Scientist.
Computer vision is one of the most popular and rapidly developing areas of robotics and information systems, which is used in various fields of human activity. One of these areas is stereo vision, which is used for: indoor navigation, detection and elimination of obstacles, three-dimensional reconstruction of premises, etc. To quickly obtain video data, to which computer vision algorithms will be applied, an optical system must be used.
The use of ready-made systems is usually quite expensive. Another important point is that such systems have significant functionality, and, therefore, they are quite complex.
Based on this, there is a need for a cost-effective optical system that could be simple enough to quickly deploy and use during testing of developed software and testing ideas and assumptions. And
Manyakov Yu.A., Sorokin A.I., Yakovlev O.A. Raspberry Pi based optical stereoscopic video capture system. Highly Available Systems. 2020. V. 16. № 4. P. 50−55. DOI: 10.18127/j20729472-202004-04. (In Russian).
- Senapathi T., Manohari R. Raspberry pi vehicle with stereo vision. International Journal of Science. Engineering and Technology Research. 2015. V. 4. № 4. P. 811−815.
- Baumbach D., Zuew S., Grießbach D. Stereo-Vision-Aided Inertial Navigation for Unknown Indoor and Outdoor Environments. International Conference on Indoor Positioning and Indoor Navigation. Busan. 2014.
- Dong N., Xiang R., Sun M., Jiang C. Fast Stereo Aerial Image Construction and Measurement for Emergency Rescue. International Conference on Fifth International Conference on Geo-Information Technologies for Natural Disaster Management. Mississauga, Ontario, Canada. 2013.
- Ding Y., Zheng X., Zhou Y., Xiong H., Gong J. Low-Cost and Efficient Indoor 3D Reconstruction Through Annotated Hierarchical Structure-from-Motion. Remote Sens. 2019. V. 11. № 1. P. 58−79.
- Razrabotka i issledovanie informatsionnoi tekhnologii obrabotki bolshikh obieemov graficheskikh i videodannykh dlya dinamicheskoi trekhmernoi rekonstruktsii. Otchet o NIR. Orlovskii filial FITs «Informatika i upravlenie» RAN. № GR 01201452397. Orel. 2017. (In Russian).
- Pomaska G. Stereo vision applying opencv and Raspberry Pi. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. 2019. V. XLII–2/W17. P. 265−269.
- Raspberry Pi foundation. URL = https://www.raspberrypi.org/downloads md.
- Raspberry Pi foundation. URL = https:// www.raspberrypi.org/ documentation/ configuration/wireless/access-point-routed.md.
- Putty. URL = https://www.putty.org.
- Jacksonliam. URL = https://github.com/jacksonliam/mjpg-streamer.