摘要
介绍了拟人多信息融合思想,人工神经网络信息融合的原理和过程。结合实际情况,对智能移动机器人多传感器采集的信息进行了融合处理,将拟人多信息融合的方法应用到了智能移动机器人平台避障实验中。与传统逻辑判断避障的方法进行比较,总结了拟人多信息融合方法在移动机器人避障中的优越性。
Introduces the idea of information fusion theory and the principle of artificial neural network. An information fusion method of multi-sensor was proposed according to sensors used in mobile robots. The mobile robot could recognize moving obstacles and en-vironment types online. The training of network and test results indicated that the method which was used in avoiding moving obsta-cles of mobile robot is practicable and effective.
出处
《微计算机信息》
北大核心
2008年第11期219-221,共3页
Control & Automation
基金
北京市教委科技发展计划面上项目(KM2005114117011)
