充分利用了的

So, the study in this dissertation focuses on some key points in theuncertainty treatment of mobile robot localization as follows: Combined with the multiple proprioceptive and exteroceptive sensors ofmobile robot MORCS-1, aimed at the drift error of fiber optic gyro as theproprioceptive sensor, the neural network using genetic algorithm as optimaltool is proposed to accomplish the modeling and calibration for temperaturedrift of fiber optic gyro, which can reduce the drift error to the standard outputat constant temperature; and aimed at the noisy disturbance of ranging datafrom the exteroceptive sensor laser scanner, a dynamic adaptive filter isintroduced through the analysis of neighboring ranging data in time and spatialcorrelation to realize the real-time and dynamic filter, which can validly filter the noisy disturbance to meet the requirement of the accurately real-timeobstacle detection in mobile robot navigation.

总结全文，在移动机器人定位的不确定性处理研究中，提出了一些具有一定创新性的方法：结合自行研制的移动机器人MORCS-1系统的多种内外部定位传感器，针对内部本体感受传感器光纤陀螺仪的漂移误差，提出采用基于遗传算法优化的神经网络来对光纤陀螺仪的温漂建模及校准，能够将其温漂变化控制在恒温条件下标准测试输出附近；针对外部环境感知传感器激光雷达测距数据中包含的噪声干扰，考虑移动机器人导航中激光雷达测距数据的时空关联性，提出采用动态自适应滤波技术进行预处理，从而可以有效滤除噪声干扰满足导航中障碍实时精确检测的要求。