Monocular SLAM Using Probabilistic Combination of Point and Line Features

We propose a monocular SLAM, in which a probabilistic combination of point and line features is adopted. Compared with point-based ORB-SLAMs, our solution is effective in improving both the accuracy and robustness under low-textured scenarios.