Computational Sensor Laboratory
Robotics Institute
Carnegie Mellon University

Sensory Computing
V. Brajovic
Conference 4019, Critical Technologies for the Future of Computing, SPIE’s 45th Annual Meeting,SPIE, 2001.

A VLSI Sorting Image Sensor: Global Massively Parallel Intensity-to-Time Processing for Low-Latency, Adaptive Vision 
V. Brajovic and T. Kanade
IEEE Transactions on Robotics and Automation, Vol. 15, No. 1, February, 1999, pp. 67-75.

Temporal Photoreception for Adaptive Dynamic Range Image Sensing and Encoding
V. Brajovic, R. Miyagawa, and T. Kanade
Neural Networks, Vol. 11, No. 7-8, October, 1998, pp. 1149-1158.

Integrated Vision and Sensing for Human Sensory Augmentation
V. Brajovic and T. Kanade 
DARPA Image Understanding Workshop, pp. 1335-1343, May 11-14, 1997.

A Sorting Image Sensor: An Example of Massively Parallel Intensity-to-Time Processing for Low-Latency Computational Sensors
V. Brajovic and T. Kanade 
Proceedings of the 1996 IEEE International Conference on Robotics and Automation, Minneapolis, MN, Vol. 2, April, 1996, pp. 1638-1643.

A Sorting Computational Sensor
V. Brajovic and T. Kanade
Tech. report CMU-RI-TR-96-01, Carnegie Mellon University, February, 1996.

Computational Sensors for Global Operations in Vision
V. Brajovic
Doctoral dissertation, Tech. report CMU-RI-TR-96-02, Robotics Institute, Carnegie Mellon University, January, 1996.

New Technique For Global Operations in Embedded Imagers
V. Brajovic and T. Kanade
1995 IEEE Workshop on Charge-Coupled Devices and Advanced Image Sensors, April, 1995

Computational Sensors for Global Operations
V. Brajovic and T. Kanade 
ARPA Image Understanding Workshop, 1994.