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ABSTRACT
<p>The authors describe how they developed a vehicle-detection model based on a Radial Basis Function network and implemented it using the Ni1000 Recognition Accelerator, which can classify up to 32,000 patterns per second—several hundred times faster than the software approach to neural net processing. a detection system using this implementation had a success rate greater than 90%.</p>
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CITATION
Darcy Bullock, James Garrett, Jr., Suryanarayana Mantri, "Vehicle Detection Using a Hardware-Implemented Neural Net", IEEE Intelligent Systems, vol. 12, no. , pp. 15-21, January-February 1997, doi:10.1109/64.577408
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