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Submitted by Emmanuel Boidot on Thu, 12/20/2012 - 14:49

Vehicle posture control through aggressive maneuvering for mitigation of T-bone collisions.

Chakraborty, I., P. Tsiotras, J. Lu, and J. Lu, "Vehicle posture control through aggressive maneuvering for mitigation of T-bone collisions.", CDC-ECE, 2011.
PDF icon cdc2011.Chakraborty.Tsiotras.printed.pdf
Submitted by Emmanuel Boidot on Thu, 12/20/2012 - 14:47

Optimal kinodynamic motion planning using incremental sampling based methods

Karaman, S. S., and E. Frazzoli, Optimal kinodynamic motion planning using incremental sampling based methods, , 2010.
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Submitted by Emmanuel Boidot on Thu, 12/20/2012 - 14:38

Multi-resolution Path Planning: Theoretical Analysis, Efficient Implementation, and Extensions to Dynamic Environments

Cowlagi, R. V., and P. Tsiotras, "Multi-resolution Path Planning: Theoretical Analysis, Efficient Implementation, and Extensions to Dynamic Environments", Decision and Control (CDC), 2010 49th IEEE Conference on: IEEE, 2010.
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Submitted by Emmanuel Boidot on Thu, 12/20/2012 - 14:37

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", Proc. IEEE International Conference on Robotics and Automation (ICRA), May, 2012.
PDF icon book12.Borji_.Sihite.Itti_.submitted.pdf
Submitted by Emmanuel Boidot on Thu, 12/20/2012 - 14:23

Combining Self Training and Active Learning for Video Segmentation

Fathi, A., M F. Balcan, X. Ren, and J. J. M. Rehg, "Combining Self Training and Active Learning for Video Segmentation", Proceedings of the British Machine Vision Conference: BMVA Press, 2011.
PDF icon bmvc2011.Fathi_.Balcan.Ren_.Rehg_.final_.pdf
Submitted by Emmanuel Boidot on Thu, 12/20/2012 - 14:19

Computational Modeling of Top-down Visual Attention in Interactive Environments

Borji, A., D. N. Sihite, and L. Itti, "Computational Modeling of Top-down Visual Attention in Interactive Environments", Proc. British Machine Vision Conference (BMVC 2011), Sep, 2011.
PDF icon bmvc2011.Borji_.Sihite.Itti_.final_.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.