摘要
针对智能车模型,提出了基于机器视觉的神经网络转向控制算法。该算法的输入为一张道路图的黑线位置值,输出为前轮转角。试验结果表明,这种算法能够很好地学习操作员给定的控制策略,具有较好的稳定性和鲁棒性。
Aiming at the intelligent vehicle model, a vision-based neural network steering control algorithm for autonomous navigation of vehicle is brought forward in this paper. With the input of black-line position value of a road map, the algorithm outputs the steering angle of the front wheels. The test indicates that the algorithm can learn the control tactic of the operator very well, and has better stability and robustness.
出处
《装甲兵工程学院学报》
2007年第4期66-71,共6页
Journal of Academy of Armored Force Engineering
关键词
神经网络
智能车
横向控制算法
neural network
intelligent vehicle
steering control algorithm
