Improved Robots Localization Decisions Based on Multi-Sensor Fusion
多传感器融合改进的机器人定位决策

In a complex and uncertain environment,using a single sensor on the robot localization is poor in accuracy and reliability,and susceptible to the interference.For this problem,the mobile robot SLAM algorithm based on the particle filter is improved for use of multi-sensor fusion algorithm.The new algorithm fuses observe information on the feature level to take advantage of redundant information collected by various sensors,and the fusion information of observations were used to estimate the posterior probab...