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Cloud-edge Collaborative Submap-based VSLAM using Implicit Representation Transmission
  • +3
  • Weinan Chen ,
  • Zhenchao Lin,
  • Lei Zhu,
  • Shilang Chen,
  • Yisheng Guan,
  • Hong Zhang
Weinan Chen

Corresponding Author:[email protected]

Author Profile
Zhenchao Lin
Lei Zhu
Shilang Chen
Yisheng Guan
Hong Zhang

Abstract

Applying VSLAM to mobile robots with limited computing power is the key to achieving autonomous navigation, and the cloud-edge collaborative VSLAM is a solution. However, the VSLAM data transmission in the working site with limited communication is still an open problem. To solve this problem, two core issues should be considered: the transmission frequency and the transmission data volume. In this paper, we propose an asynchronous submap building framework to reduce the transmission frequency. Also, we design an implicit representation-based transmission method to save the transmission data volume while satisfying the data association between the edge and the cloud. Through the experiments, our method shows advanced performance in terms of communication demand with low transmission frequency and small data volume. At the same time, comparable precision to the state-of-the-art is achieved, showing the effectiveness of the data association building. Thanks to the reduced transmission frequency and data volume, our system provides a feasible way to the cloud-based VSLAM under limited communication.
18 Dec 2023Submitted to TechRxiv
22 Dec 2023Published in TechRxiv