Visual Protractor Based Track Correction

This paper describes a new way to fuse vision information and odometry data.First the idea of visual protractor is introduced,then a Kalman filtering method is used to fuse visual information with encoder information to correct the mobile robot tracks obtained with encoder.Experiment results show that this method can improve the precision of robot localization greatly.