Paper
3 February 2014 Research and development of Ro-boat: an autonomous river cleaning robot
Author Affiliations +
Proceedings Volume 9025, Intelligent Robots and Computer Vision XXXI: Algorithms and Techniques; 90250Q (2014) https://doi.org/10.1117/12.2037898
Event: IS&T/SPIE Electronic Imaging, 2014, San Francisco, California, United States
Abstract
Ro-Boat is an autonomous river cleaning intelligent robot incorporating mechanical design and computer vision algorithm to achieve autonomous river cleaning and provide a sustainable environment. Ro-boat is designed in a modular fashion with design details such as mechanical structural design, hydrodynamic design and vibrational analysis. It is incorporated with a stable mechanical system with air and water propulsion, robotic arms and solar energy source and it is proceed to become autonomous by using computer vision. Both “HSV Color Space” and “SURF” are proposed to use for measurements in Kalman Filter resulting in extremely robust pollutant tracking. The system has been tested with successful results in the Yamuna River in New Delhi. We foresee that a system of Ro-boats working autonomously 24x7 can clean a major river in a city on about six months time, which is unmatched by alternative methods of river cleaning.
© (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Aakash Sinha, Prashant Bhardwaj, Bipul Vaibhav, and Noor Mohommad "Research and development of Ro-boat: an autonomous river cleaning robot", Proc. SPIE 9025, Intelligent Robots and Computer Vision XXXI: Algorithms and Techniques, 90250Q (3 February 2014); https://doi.org/10.1117/12.2037898
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Cited by 3 scholarly publications.
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KEYWORDS
Detection and tracking algorithms

Filtering (signal processing)

RGB color model

Computer vision technology

Machine vision

Cameras

Image processing algorithms and systems

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