基于神经网络的多传感器信息融合及其在机器人中的应用

Muti-sensor information fusion based on neural network and its application in mobile robots

多传感器信息融合即融合多个传感器提供的冗余、互补或更实时的信息,可以获得系统所需的更准确和更精确的信息。通过神经网络融合方法,探讨了信息融合技术在机器人方面的应用。机器人避障实验验证了所提方法的有效性。

Multi-sensor information fusion technology is that fuses the information of multiple sensors gained through the use of redundant ,complementary ,or more timely information in a system can provide more reliable and accurate information.The paper develops a kind of structure of multi-sensor information fusion based on neural network and introduces main applications of the technology in robots. Experiment results verified the effectiveness of the proposed approach.