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Submitted by Emmanuel Boidot on Mon, 11/03/2014 - 23:02

What stands out in a scene? A study of human explicit saliency judgment

Borji, A., D. N. Sihite, and L. Itti, "What stands out in a scene? A study of human explicit saliency judgment", Vision research, vol. 91, pp. 62–77, 2013.
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Submitted by Emmanuel Boidot on Mon, 11/03/2014 - 22:58

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", Image Processing, IEEE Transactions on, vol. 22, pp. 55–69, 2013.
Submitted by Emmanuel Boidot on Mon, 11/03/2014 - 22:56

Curvature-Bounded Traversability Analysis in Motion Planning for Mobile Robots

Cowlagi, R. V., and P. Tsiotras, "Curvature-Bounded Traversability Analysis in Motion Planning for Mobile Robots", Transactions on Robotics, IEEE, vol. 30, issue 4, 08/2014.
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Submitted by Emmanuel Boidot on Mon, 11/03/2014 - 22:47

Optical Flow Templates for Mobile Robot Environment Understanding

Roberts, R., "Optical Flow Templates for Mobile Robot Environment Understanding", School of Computer Science, vol. PhD: Georgia Institute of Technology, 05/2013.
Submitted by Emmanuel Boidot on Mon, 11/03/2014 - 22:39

Vistas and parallel tracking and mapping with Wall–Floor Features: Enabling autonomous flight in man-made environments

Ta, D-N., K. Ok, and F. Dellaert, "Vistas and parallel tracking and mapping with Wall–Floor Features: Enabling autonomous flight in man-made environments", Robotics and Autonomous Systems, 2014.
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Submitted by Emmanuel Boidot on Mon, 11/03/2014 - 22:38

Optical Flow Templates for Superpixel Labeling in Autonomous Robot Navigation

Roberts, R., and F. Dellaert, "Optical Flow Templates for Superpixel Labeling in Autonomous Robot Navigation", 5th Workshop on Planning, Perception and Navigation for Intelligent Vehicles (PPNIV13), 2013.
PDF icon ppniv2013.Roberts.Dellaert.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.