Nlos identification- and correction-focused fusion of uwb and lidar-slam based on factor graph optimization for high-precision positioning with reduced drift

HIGHLIGHTS

  • who: Zhijian Chen et al. from the School of Geomatics, Liaoning Technical University, Fuxin, China have published the research: NLOS Identification- and Correction-Focused Fusion of UWB and LiDAR-SLAM Based on Factor Graph Optimization for High-Precision Positioning with Reduced Drift, in the Journal: (JOURNAL)
  • what: The authors propose a tightly coupled integrated method of ultrawideband (UWB) and light detection and ranging (LiDAR)-based simultaneous localization and mapping (SLAM) for global navigation satellite system (GNSS)-denied environments to achieve high-precision positioning with Specifically the authors focus on non-line-of-sight (NLOS) and . . .

     

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