A method for rotation matrix estimation in stereo visual odometry based on left and right rotation averaging

This paper presents an approach to leverage this information during computing rotation by averaging of value of rotations extracted from both left and right sides. The proposed method is evaluated on the KITTI dataset to verify the performance of this algorithm.