We use Sarnoff's next-generation video processor, the PVT-200, to demonstrate real-time algorithms for stereo processing, obstacle detection, and terrain estimation from stereo cameras mounted on a moving vehicle. Sarnoff's stereo 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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机译：我们使用Sarnoff的下一代视频处理器PVT-200，以证明立体声处理，障碍物检测和从安装在移动车辆上的立体电机的地形估计的实时算法。 Sarnoff的立体声处理和障碍物检测能力目前用于几辆无人机（UGV）程序，包括MDARS-E和DEMO III。 Sarnoff的地形估计能力建立在“基于模型的定向立体声”方法上。我们展示了Sarnoff和Universitat der Bundeswehr Munchen之间的持续协作研究，在那里我们正在研究自动越野导航的视觉处理作为Autonav程序的一部分。
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