P<sup>3</sup>-LINS: Tightly Coupled PPP-GNSS/INS/LiDAR Navigation System With Effective Initialization-Reference-Cited by-同舟云学术

P³-LINS: Tightly Coupled PPP-GNSS/INS/LiDAR Navigation System With Effective Initialization

Published:2023 Issue: Volume:72 Page:1-13
ISSN:0018-9456
Container-title:IEEE Transactions on Instrumentation and Measurement
language:
Short-container-title:IEEE Trans. Instrum. Meas.

Author:

Li Tao¹^ORCID,Pei Ling¹^ORCID,Xiang Yan¹^ORCID,Zuo Xingxing²^ORCID,Yu Wenxian¹^ORCID,Truong Trieu-Kien¹^ORCID

Affiliation:

1. Shanghai Key Laboratory of Navigation and Location-Based Services, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China

2. Department of Informatics, Technical University of Munich, Munich, Germany

Funder

National Natural Science Foundation of China

Shanghai Science and Technology Committee

Equipment Preresearch Field Foundation

Shanghai Pujiang Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/19/10012124/10043842.pdf?arnumber=10043842

Reference38 articles.

1. P3-LOAM: PPP/LiDAR Loosely Coupled SLAM With Accurate Covariance Estimation and Robust RAIM in Urban Canyon Environment

2. LINS: A Lidar-Inertial State Estimator for Robust and Efficient Navigation

3. GNSS multipath detection using a machine learning approach

4. Random sample consensus

5. 3D LiDAR Aided GNSS and Its Tightly Coupled Integration with INS Via Factor Graph Optimization

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