摘要
阐述了当前在移动机器人领域常用的几种多传感器融合方法,介绍了移动机器人常用的传感器配置及所用的融合算法。对D S证据理论、卡尔曼滤波、神经网络与模糊推理信息融合方法优缺点进行了对比分析。
In the paper, based on theory and practice, several methods of multi-sensor data fusion which were used usually in the field of mobile robots at present are discussed. The arrangement and fusion algorithm of sensor used generally in mobile robots is introduced. And the virtue and default of some data fusion methods such as D-S evidence theory, kalman filter and neural network and fuzzy reasoning is contrasted and analyzed.
出处
《机电工程》
CAS
2004年第2期1-5,共5页
Journal of Mechanical & Electrical Engineering
