reviewRemote SensingJun 13, 2022GOLD OA

A Review of Multi-Sensor Fusion SLAM Systems Based on 3D LIDAR

Hohai University · Yangzhou University

Indexed incrossrefdoaj

Abstract

The ability of intelligent unmanned platforms to achieve autonomous navigation and positioning in a large-scale environment has become increasingly demanding, in which LIDAR-based Simultaneous Localization and Mapping (SLAM) is the mainstream of research schemes. However, the LIDAR-based SLAM system will degenerate and affect the localization and mapping effects in extreme environments with high dynamics or sparse features. In recent years, a large number of LIDAR-based multi-sensor fusion SLAM works have emerged in order to obtain a more stable and robust system. In this work, the development process of LIDAR-based multi-sensor fusion SLAM and the latest research work are highlighted. After summarizing the…

Citation impact

280
total citations
FWCI
162.89
Percentile
100%
References
92
Citations per year

Authors

8

Topics & keywords

Keywords
  • Lidar
  • Simultaneous localization and mapping
  • Computer science
  • Sensor fusion
  • Artificial intelligence
  • Fusion
  • Computer vision
  • Process (computing)
UN Sustainable Development Goals
  • Sustainable cities and communities
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