Bayesian optimization explains human active search

Borji, A., and L. Itti, "Bayesian optimization explains human active search", Advances in Neural Information Processing Systems, 2013.

Objects do not predict fixations better than early saliency: a re-analysis of Einhauser et al.'s data.

Defending Yarbus: Eye movements reveal observers' task

Borji, A., and L. Itti, "Defending Yarbus: Eye movements reveal observers' task", Journal of vision, vol. 14, pp. 29, 2014.

On-line path generation for unmanned aerial vehicles using b-spline path templates

Jung, D., and P. Tsiotras, "On-line path generation for unmanned aerial vehicles using b-spline path templates", Journal of Guidance, Control, and Dynamics, vol. 36, pp. 1642–1653, 2013.

A margin-based approach to threat assessment for autonomous highway navigation

Constantin, A., J. Park, and K. Iagnemma, "A margin-based approach to threat assessment for autonomous highway navigation", Intelligent Vehicles Symposium Proceedings, 2014 IEEE, June, 2014.

Linear-Time Estimation with Tree Assumed Density Filtering and Low-Rank Approximation

Ta, D-N., and F. Dellaert, "Linear-Time Estimation with Tree Assumed Density Filtering and Low-Rank Approximation", Intelligent Robots and Systems (IROS), 2014 IEEE/RSJ International Conference on, 2014.

Pages

Subscribe to NAPCAR RSS
 

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.