Visual Odometry for Indoor Mobile Robot by Recognizing Local Manhattan Structures
In this paper, we propose a novel 3-DOF visual odometry method to estimate the location and pose (yaw) of a mobile robot when the robot is navigating indoors. Particularly, we mainly aim at dealing with the corridor-like scenarios where the RGB-D camera mounted on the robot can capture apparent planar structures such as floor or walls. The novelties of our method lie in two-folds. First, to fully