A review on the development of distributed SLAM technology for multiple unmanned platforms

doi:10.13474/j.cnki.11-2246.2025.1109

Abstract

Abstract: In response to the key issues such as low collaborative positioning accuracy,environmental perception conflicts,and limited communication bandwidth in the distributed simultaneous localization and mapping (SLAM) technology for multiple unmanned platforms,this paper adopts a research strategy combining literature analysis and method comparison,and conducts research based on the current domestic and foreign research status.It systematically sorts out the core challenges of distributed SLAM in aspects such as time synchronization,data association,and topological optimization.Secondly,it conducts a comparative analysis of representative domestic and foreign datasets for multiple unmanned platforms from the dimensions of platform type,sensor configuration,and scene complexity,revealing the deficiencies of existing datasets in terms of heterogeneous system adaptability.Finally,it looks forward to the development trend of the distributed SLAM technology for multiple unmanned platforms and points out future research directions of multi-modal data fusion and lightweight map construction.The research results provide theoretical support and data reference for the collaborative operation of multiple unmanned platforms and have guiding significance for improving the autonomous collaboration ability in complex environments.

Key words: LiDAR, camera, stereo vision, distributed, SLAM, multiple unmanned platforms

CLC Number:

P237

XIONG Chao, WU Meng, DUAN Xuzhe, ZHAO Pengcheng, LU Chuanfang, XU Jian. A review on the development of distributed SLAM technology for multiple unmanned platforms[J]. Bulletin of Surveying and Mapping, 2025, 0(11): 53-61.

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