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.

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.

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.

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.

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

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.

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Dynamics and Control Systems Lab

 

Robotic Mobility Group

 

Aerospace Robotics and Embedded Systems Laboratory

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.

Acknowledgment

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