A Review of Multi-Sensor Fusion SLAM Systems Based on 3D LIDAR
Hohai University · Yangzhou University
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
- FWCI
- 162.89
- Percentile
- 100%
- References
- 92
Authors
8Topics & keywords
- Lidar
- Simultaneous localization and mapping
- Computer science
- Sensor fusion
- Artificial intelligence
- Fusion
- Computer vision
- Process (computing)
- Sustainable cities and communities