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Submitted by Emmanuel Boidot on Thu, 12/27/2012 - 13:36

Understanding egocentric activities

Fathi, A., A. Farhadi, and J. J. M. Rehg, "Understanding egocentric activities", ICCV, 2011.
PDF icon iccv2011.Fathi_.Farhadi.Rehg_.final_.pdf
Submitted by Emmanuel Boidot on Thu, 12/27/2012 - 13:32

Modeling the influence of action on spatial attention in visual interactive environments

Borji, A., D. N. Sihite, and L. Itti, "Modeling the influence of action on spatial attention in visual interactive environments", ICRA, 2012.
PDF icon icra2012.Borji_.Sihite.Itti_.printed.pdf
Submitted by Emmanuel Boidot on Thu, 12/27/2012 - 13:04

Attitude Heading Reference System with Rotation-Aiding Visual Landmarks

Beall, C., D-N. Ta, K. Ok, and F. Dellaert, Attitude Heading Reference System with Rotation-Aiding Visual Landmarks, , 2012.
PDF icon fusion2012.Beall_.Ta_.Ok_.Dellaert.final_.pdf
Submitted by Emmanuel Boidot on Thu, 12/27/2012 - 12:31

Classifying Environment Shape from Image Motion for Mobile Robot Path Following

Roberts, R., N. Srinivasan, and F. Dellaert, "Classifying Environment Shape from Image Motion for Mobile Robot Path Following", ECCV, 2012.
PDF icon eccv2012.Roberts.Srinivasan.Dellaert.submitted.pdf
Submitted by Emmanuel Boidot on Thu, 12/27/2012 - 12:24

Salient Object Detection: A Benchmark

Borji, A., D. N. Sihite, and L. Itti, "Salient Object Detection: A Benchmark", ECCV (2), 2012.
PDF icon eccv2012.Borji_.Sihite.Itti_.accepted.pdf
Submitted by Emmanuel Boidot on Thu, 12/27/2012 - 12:20

Probabilistic learning of task-specific visual attention

Borji, A., D. N. Sihite, and L. Itti, "Probabilistic learning of task-specific visual attention", CVPR, 2012.
PDF icon cvpr2012d.Borji_.Itti_.printed.pdf

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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.