Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2014 · 20 citations · 4 references
EngineeringAutonomous SystemsRobotics EngineeringAutonomous VehiclesComputer VisionRoboticsAutonomous NavigationMachine Vision For RoboticsRobot NavigationRobotic VisionAutonomous Environmental SensingHsv Color SpaceHydrodynamic DesignKalman Filter TrackingRobust Mechanical DesignVibrational AnalysisWater System Automation
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.
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Speeded-Up Robust Features (SURF)
Herbert Bay, Andreas Ess, Tinne Tuytelaars et al. · Computer Vision and Image Understanding · 2008 · 13.4K citations
A multiple object tracking method using Kalman filter
Xin Li, Kejun Wang, Wei Wang et al. · 2010 · 212 citations