A data fusion approach for multi-camera based visual servoing

Accurate visual servoing depends extensively on the quality of pose estimation. Sensor fusion provides a solution to improve accuracy and robustness of pose estimation. This paper introduces sensor fusion methods using two cameras to reduce the inaccuracy of pose estimation. Simulation results are reported to verify the efficiency of the proposed methods.