A Remote RGB-D VSLAM Solution for Low Computational Powered Robots
| Autor: | João Ferreira Alves, Alexandre Bernardino |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
0209 industrial biotechnology
Computer science Wireless network business.industry Real-time computing ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION 020207 software engineering 02 engineering and technology Simultaneous localization and mapping Visualization 020901 industrial engineering & automation 0202 electrical engineering electronic engineering information engineering Robot RGB color model Wireless business Implementation Image compression |
| Zdroj: | ICARSC |
| DOI: | 10.1109/icarsc49921.2020.9096074 |
| Popis: | This paper proposes a wireless remote RGB-D visual SLAM solution for low computational powered robots. We develop a ROS implementation of the tools necessary to send RGB-D images over wireless networks. Making use of state-of-the-art compression techniques, such as Run/Variable Length (RVL), a 16-bit depth image compression method, the proposed remote system delivers the same performance as traditional local RGB-D visual SLAM implementations, while also being available to low computational powered robots. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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