23ms。The influence of the various illumination, weed, and shadow environment to the path recognition was investigated. A new research method for vision navigation system of agricultural vehicle in the application environment was proposed. The various navigation environments were classified automatically by neural network. According to classification results, different path recognition methods were applied in navigation system. Experimental results of the recognition and the classification prove that the method is effective and can improve the practicability and reliability of vision navigation system. The classification correct rate is 95%, and the average cost time is 23ms.
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赵博,王猛,毛恩荣,张小超,宋正河.农业车辆视觉实际导航环境识别与分[J].农业机械学报,2009,40(7):166-170. and Classification for Vision Navigation Application Environment of Agricultural Vehicle[J]. Transactions of the Chinese Society for Agricultural Machinery,2009,40(7):166-170.