Land mark recognition method for mobile robot navigation

Image analysis – Applications – Robotics

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G06K 900

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active

059636637

ABSTRACT:
A land mark recognition apparatus presenting an enhanced learning capability with its neural net. Color image data of a land mark picked up by a television camera is quantized in the space defined by hue and chroma. Specifically, the color image data defined by hue and chroma falls within an area A1, the data is quantized as red data. Similarly, color image data falls within areas A3 and A3, the data is quantized as green and blue data, respectively. The color image data, after being quantized into a small number of data, is stored in the neural net.

REFERENCES:
patent: 5253302 (1993-10-01), Massen
patent: 5301257 (1994-04-01), Tani
patent: 5504841 (1996-04-01), Tani
"Cognition and Autonomy of Robots: A Dynamical Systems Perspective", Jun Tani, Nippon Robot Gakkaishi, vol. 14, No. 4, pp. 474-477, 1995, (Translation included).
J. Tani, "Model-Based Learning for Mobile Robot Navigation from the Dynamical Systems Perspective," IEEE Transactions on Systems, Man, and Cybernetics-Part B: Cybernetics, vol. 26, No. 3, Jun. 1996, pp. 421-436.

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