By a News Reporter-Staff News Editor at Robotics & Machine Learning -- Investigators discuss new findings in Robotics. According to news reporting out of Coral Gables, Florida, by VerticalNews editors, the research stated, "Visual odometry involves the computation of 3-D motion and (or) trajectory by tracking features in the video or image sequences recorded by the camera(s) on some autonomous terrestrial, aerial, and marine robotics platform. For exploration, mapping, inspection, and surveillance operations within turbid waters, high-frequency 2-D forward-scan sonar systems offer a significant advantage over cameras by providing both imagery with target details and attractive tradeoff in range, resolution, and data rate."
Our news journalists obtained a quote from the research from the University of Miami, "Operating these at grazing incidence gives larger scene coverage and improved image quality due to the dominance of diffuse backscattered reflectance but induces cast shadows that are typically more distinct than brightness patterns due to the direct reflectance of casting objects. For the computation of 3-D motion by automatic video processing, the estimation accuracy and robustness can be enhanced by integrating the visual cues from shadow dynamics with the image flow of stationary 3-D objects, both induced by sonar motion. In this paper, we present the mathematical models of image flow for 3-D objects and their cast shadows, utilize them in devising various 3-D sonar motion estimation solutions, and study their robustness."
According to the news editors, the research concluded: "We present results of experiments with both synthetic and real data in order to assess the accuracy and performance of these methods."
For more information on this research see: On 3-D Motion Estimation From Feature Tracks in 2-D FS Sonar Video. IEEE Transactions on Robotics, 2013;29(4):1016-1030. IEEE Transactions on Robotics can be contacted at: Ieee-Inst Electrical Electronics Engineers Inc, 445 Hoes Lane, Piscataway, NJ 08855-4141, USA. (Institute of Electrical and Electronics Engineers - www.ieee.org/; IEEE Transactions on Robotics - ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=8860)
Our news journalists report that additional information may be obtained by contacting S. Negahdaripour, University of Miami, Dept. of Elect & Comp Engn, Coral Gables, FL 33146, United States.
Keywords for this news article include: Florida, Robotics, Coral Gables, United States, North and Central America
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