孙怀江, 杨静宇. 一种改进的神经网络道路跟踪方法[J]. 机器人, 2001, 23(3): 197-200..
SUN Huai-jiang, YANG Jing-yu. AN IMPROVED ROAD FOLLOWER BASED ON NEURAL NETWORK. ROBOT, 2001, 23(3): 197-200..
Abstract：ALVINN(Autonomous Land Vehicle in a Neural Network) is the best intelligent vehicle road follower based on neural network in the world. Road following camera is fixed on ALVINN,so information about road may be missed during steering and following performance may be decreased,even the task of road following cannot be completed. In this paper,an improved based on road follower always is proposed,in which the azimuth of road following camera is efficiently controlled so that the road is always in the center of image. This opens possibilities for improving road following performance. Performance improvement is verified by computer simulation results.
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