摘要
智能导航与控制是一个集环境感知、规划与自动驾驶于一体的综合功能系统。通过智能控制,我们希望车辆不仅能够实现自主驾驶,并且也能够准确地避免碰撞障碍物。神经网络有很强的学习、自适应和处理非线性的能力,因而非常广泛地应用于复杂系统的辨识、建模和复杂系统的控制。要使得车辆完成自主驾驶,可以通过选择合适的输入与输出来训练神经网络。
Intelligent navigation and control is an integrated system contained environmental perception, planning and automated driving. We hope the car not only achieve to drive by itself, and also be able to accurately avoid obstacle. Neural network has strong capacity of learning and processing non-linear question, thus frequently be used in identificating,modeling and control of complex system. To make the completion of self-drive, you can select the appropriate input and output to train the neural network.
出处
《科技广场》
2009年第7期178-179,共2页
Science Mosaic
关键词
BP
智能控制
神经网络
BP
Intelligent Control
Neural Network
