An Object-based Bayesian Framework for Top-down Visual Attention

Borji, A., D. N. Sihite, and L. Itti, "An Object-based Bayesian Framework for Top-down Visual Attention", Proc. Twenty-Sixth AAAI Conference on Artificial Intelligence (AAAI-12), Toronto, Canada, Aug, 2012.

Autocoding control software with proofs I: Annotation translation

Jobredeaux, R. J., T. Wang, and E. M. Feron, "Autocoding control software with proofs I: Annotation translation", Digital Avionics Systems Conference (DASC), 2011 IEEE/AIAA 30th, oct., 2011.

NASCAR: Neuro-inspired Adaptive Sensing and Control for Agile Response

NASCAR is a MURI activity between Georgia Tech, MIT and the University of Southern California. The objective of the MURI is to develop perception and planning algorithms that will achieve a quantum leap in the agility and speed of autonomous and semi-autonomous ground vehicles.

Kickoff Meeting

The MURI kick-off meeting took place on December 8, 2010, on the 2nd floor of the Georgia Tech Learning Center at Tech Square.

Kickoff Meeting Agenda

 

Tentative MURI Kick-off Meeting Schedule

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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.