An improved visual SLAM algorithm based on mixed data association

Making use of a novel artificial landmark which is called MR (Mobile Robot) code, on the basis of analysis of the motion model and observation model, an improved visual SLAM algorithm based on mixed data association is presented, which improves the localization precision of the robot and the map accuracy. Experimental results verify the effectiveness and robustness of the algorithm.