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In order to improve the precision of multi-robot SLAM multi-view targettracking process, a improved multi-robot SLAM multi-view target trackingalgorithm based on panoramic vision in irregular environment was put forward,adding an correction factor to renew the existing Extended Kalman Filter (EKF)model, obtaining new coordinates X and Y after twice iterations. The paper hasbeen accepted by Computing and Visualization in Science and this is asimplified version.

Simplified_edition_Multi-robot SLAM Multi-view Target Tracking based on Panoramic Vision in Irregular Environment