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Submitted by Emmanuel Boidot on Fri, 12/28/2012 - 14:44

Top-down Influences on Visual Attention during Listening are Modulated by Observer Sex

Shen, J., and L. Itti, "Top-down Influences on Visual Attention during Listening are Modulated by Observer Sex", Vision Research, vol. 65, pp. 62-76, Jul, 2012.
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Submitted by Emmanuel Boidot on Fri, 12/28/2012 - 14:40

Vistas and Wall-Floor Intersection Features - Enabling Autonomous Flight in Man-made Environments

Ok, K., D-N. Ta, and F. Dellaert, "Vistas and Wall-Floor Intersection Features - Enabling Autonomous Flight in Man-made Environments", Workshop on Visual Control of Mobile Robots, 2012.
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Submitted by Emmanuel Boidot on Fri, 12/28/2012 - 14:36

Influence of the Amount of Context Learned for Improving Object Classification when Simultaneously Learning Object and Contextual Cues

Marat, S., and L. Itti, "Influence of the Amount of Context Learned for Improving Object Classification when Simultaneously Learning Object and Contextual Cues", Visual Cognition, vol. 20, pp. 580-602, Apr, 2012.
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Submitted by Emmanuel Boidot on Fri, 12/28/2012 - 14:31

Hierarchical Motion Planning With Dynamical Feasibility Guarantees for Mobile Robotic Vehicles.

Cowlagi, R. V., and P. Tsiotras, "Hierarchical Motion Planning With Dynamical Feasibility Guarantees for Mobile Robotic Vehicles.", IEEE Transactions on Robotics, vol. 28, pp. 379-395, 2012.
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Submitted by Emmanuel Boidot on Fri, 12/28/2012 - 14:26

State-of-the-art in Visual Attention Modeling

Borji, A., and L. Itti, "State-of-the-art in Visual Attention Modeling", IEEE Transactions on Pattern Analysis and Machine Intelligence, 2012.
Submitted by Emmanuel Boidot on Fri, 12/28/2012 - 14:21

Quantitative Analysis of Human-Model Agreement in Visual Saliency Modeling: A Comparative Study

Borji, A., D. N. Sihite, and L. Itti, "Quantitative Analysis of Human-Model Agreement in Visual Saliency Modeling: A Comparative Study", IEEE Transactions on Image Processing, pp. 1-16 (in press), 2012.

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Dynamics and Control Systems Lab

at Georgia Institute of Technology

 

The Borg Lab

at Georgia Institute of Technology

 

Robotic Mobility Group

at Massachusetts Institute of Technology

 

Aerospace Robotics and Embedded Systems Laboratory

at Massachusetts Institute of Technology

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About us

We are three research groups from Georgia Tech, the Massachusetts Institute of Technology, and the University of Southern California, collaborating to perform basic research on high-speed autonomous driving.  We are most interested in researching biologically-inspired methods in the realms of both perception and control.

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Acknowledgment

This work was supported by the Army Research Office under MURI Award W911NF-11-1-0046.