MotionHint: Self-Supervised Monocular Visual Odometry with Motion Constraints
Cong Wang,Yu-Ping Wang,Dinesh Manocha,Cong Wang,Yu-Ping Wang,Dinesh Manocha
We present a novel self-supervised algorithm named MotionHint for monocular visual odometry (VO) that takes motion constraints into account. A key aspect of our approach is to use an appropriate motion model that can help existing self-supervised monocular VO (SSM-VO) algorithms to overcome issues related to the local minima within their self-supervised loss functions. The motion model is expresse...
