News Column

Study Findings from Georgia Institute of Technology Provide New Insights into Robotics

June 23, 2014

By a News Reporter-Staff News Editor at Robotics & Machine Learning -- Current study results on Robotics have been published. According to news reporting originating from Atlanta, Georgia, by VerticalNews correspondents, research stated, "An unmanned aerial vehicle requires adequate knowledge of its surroundings in order to operate in close proximity to obstacles. UAVs also have strict payload and power constraints which limit the number and variety of sensors available to gather this information."

Our news editors obtained a quote from the research from the Georgia Institute of Technology, "It is desirable, therefore, to enable a UAV to gather information about potential obstacles or interesting landmarks using common and lightweight sensor systems. This paper presents a method of fast terrain mapping with a monocular camera. Features are extracted from camera images and used to update a sequential extended Kalman filter. The features locations are parameterized in inverse depth to enable fast depth convergence. Converged features are added to a persistent terrain map which can be used for obstacle avoidance and additional vehicle guidance."

According to the news editors, the research concluded: "Simulation results, results from recorded flight test data, and flight test results are presented to validate the algorithm."

For more information on this research see: Monocular Visual Mapping for Obstacle Avoidance on UAVs. Journal of Intelligent & Robotic Systems, 2014;74(1-2):17-26. Journal of Intelligent & Robotic Systems can be contacted at: Springer, Van Godewijckstraat 30, 3311 Gz Dordrecht, Netherlands. (Springer -; Journal of Intelligent & Robotic Systems -

The news editors report that additional information may be obtained by contacting D. Magree, Georgia Inst Technol, Atlanta, GA 30332, United States. Additional authors for this research include J.G. Mooney and E.N. Johnson.

Keywords for this news article include: Atlanta, Georgia, Robotics, United States, North and Central America

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Source: Robotics & Machine Learning