In order to improve the precision of multi-robot SLAM multi-view target tracking process, a improved multi-robot SLAM multi-view target tracking algorithm 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 has been accepted by Computing and Visualization in Science and this is a simplified version.
@article{arxiv.1911.09918,
title = {Simplified_edition_Multi-robot SLAM Multi-view Target Tracking based on Panoramic Vision in Irregular Environment},
author = {R. Q. Wang and Z. Q. Yuan and G. H. Chen},
journal= {arXiv preprint arXiv:1911.09918},
year = {2019}
}