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Optic Flow

The Optic Flow Group researches Biologically-Inspired Flow Field Computation for Sensing and Control of Ground Vehicles. Our research is split into two broad areas:. Computational Analysis of flow fields. Systems modeling for visual navigation. These models, and the insights learned during their construction, lead to the development of algorithms for visual navigation which we apply to robotic control. Powered by Wordpress. Designed by WPSHOWER.

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Optic Flow | opticflow.bu.edu Reviews
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The Optic Flow Group researches Biologically-Inspired Flow Field Computation for Sensing and Control of Ground Vehicles. Our research is split into two broad areas:. Computational Analysis of flow fields. Systems modeling for visual navigation. These models, and the insights learned during their construction, lead to the development of algorithms for visual navigation which we apply to robotic control. Powered by Wordpress. Designed by WPSHOWER.
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Optic Flow | opticflow.bu.edu Reviews

https://opticflow.bu.edu

The Optic Flow Group researches Biologically-Inspired Flow Field Computation for Sensing and Control of Ground Vehicles. Our research is split into two broad areas:. Computational Analysis of flow fields. Systems modeling for visual navigation. These models, and the insights learned during their construction, lead to the development of algorithms for visual navigation which we apply to robotic control. Powered by Wordpress. Designed by WPSHOWER.

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Optic Flow » People

http://opticflow.bu.edu/people

Prof Mingolla works on development and empirical testing of neural network models of visual perception, notably the segmentation, grouping, and contour formation processes of early and middle vision in primates, and on the transition of these models to technological applications. Please see the CNS Vision Lab. And DARPA HP/SyNAPSE Project. For more about his research. Mr Wurbs is a PhD Candidate working on spatially variant representations of optical flow. Powered by Wordpress. Designed by WPSHOWER.

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Optic Flow » Publications

http://opticflow.bu.edu/publications

Layton, O., Mingolla, E. and Browning, N.A. (2012). A motion pooling model of visually guided navigation explains human behavior in the presence of independently moving objects. Raudies, F. (2011). Reconstructing Environment from Optic Flow. Faculty of Engineering and Computer Sciences, University of Ulm, Germany August 16 2011. Browning, N. A. (2012). Time-To-Contact estimation in the ViSTARS model of primate motion processing. Visual Sciences Society, May 2012, Naples, FL. Yazdanbakhsh, A .,. Layton, O...

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