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

TL;DR

This paper presents an improved multi-robot SLAM and multi-view target tracking algorithm utilizing panoramic vision in irregular environments, enhancing accuracy through a modified EKF model with iterative coordinate updates.

Contribution

It introduces a correction factor to the EKF model for better multi-view target tracking in irregular environments, simplifying the existing approach.

Findings

Enhanced tracking accuracy with the new EKF model.

Successful application in irregular environments.

Simplified algorithm implementation.

Abstract

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.