Abstract

We use Sarnoff's next-generation video processor, the PVT-200, to demonstrate real-time algorithms for processing, obstacle detection, and terrain estimation from cameras mounted on a moving vehicle. Sarnoff's processing and obstacle detection capabilities are currently 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 demonstrate ongoing collaborative research between Sarnoff and Universitat der Bundeswehr Munchen, where we are studying vision processing for autonomous off-road navigation as part of the AUTONAV program.

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