Reconfigurable Elements for a Video Pipeline Processor
FCCM '99 Proceedings of the Seventh Annual IEEE Symposium on Field-Programmable Custom Computing Machines
On-Road Vehicle Detection: A Review
IEEE Transactions on Pattern Analysis and Machine Intelligence
Computer vision-based terrain sensors for blind wheelchair users
ICCHP'06 Proceedings of the 10th international conference on Computers Helping People with Special Needs
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We use Sarnoff's next-generation video processor, thePVT-200, to demonstrate real-time algorithms for stereoprocessing, obstacle detection, and terrain estimation fromstereo cameras mounted on a moving vehicle. Sarnoff'sstereo processing and obstacle detection capabilities arecurrently being used in several Unmanned Ground Vehicle(UGV) programs, including MDARS-E and DEMO III.Sarnoff's terrain estimation capabilities are founded on a"model-based directed stereo" approach. We demonstrateongoing collaborative research between Sarnoff and Universität der Bundeswehr München, where we are studyingvision processing for autonomous off-road navigation aspart of the AUTONAV program.