Aiming at problem of inaccuracy and poor robustness of built maps and positioning is not timely when autonomous navigation of mobile robot is carried out by only using single sensor in unknow environment

an integrated navigation method is proposed based on information fusion combined binocular vision and laser radar

a landmark database containing the world coordinate system is built and the feature map in global environment is obtained so as to achieve autonomous navigation. Experiments are conducted by crawle-type mobile robot with open source robot operating system（ ROS）. Experiment results show that 2 D grid map with higher reliability and precision can be built by multi-sensor fusion and the robustness simultaneous localization and mapping（ SLAM） of mobile robot is improved.