ROCVNov 22, 2019

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

arXiv:1911.09918v1
Originality Synthesis-oriented
AI Analysis

This work addresses target tracking for multi-robot systems in irregular environments, but it appears incremental as it modifies an existing EKF model.

The paper tackled improving precision in multi-robot SLAM multi-view target tracking in irregular environments by proposing an improved algorithm that adds a correction factor to the Extended Kalman Filter model, resulting in new coordinates after two iterations, though no concrete numbers are provided.

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.

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