In-Motion Initial Alignment Method Based on Multi-Source Information Fusion for Special Vehicles

Zhenjun Chang, Zhili Zhang, Zhaofa Zhou, Xinyu Li, Shiwen Hao, Huadong Sun

Open source

DOI: 10.3390/e27030237
Published: 2025-02-25
Container: Entropy
Publisher: MDPI AG
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.3390/e27030237,
  title = {In-Motion Initial Alignment Method Based on Multi-Source Information Fusion for Special Vehicles},
  author = {Zhenjun Chang and Zhili Zhang and Zhaofa Zhou and Xinyu Li and Shiwen Hao and Huadong Sun},
  year = {2025},
  journal = {Entropy},
  doi = {10.3390/e27030237},
  url = {https://doi.org/10.3390/e27030237}
}

RIS

TY  - JOUR
TI  - In-Motion Initial Alignment Method Based on Multi-Source Information Fusion for Special Vehicles
AU  - Zhenjun Chang
AU  - Zhili Zhang
AU  - Zhaofa Zhou
AU  - Xinyu Li
AU  - Shiwen Hao
AU  - Huadong Sun
PY  - 2025
JO  - Entropy
DO  - 10.3390/e27030237
UR  - https://doi.org/10.3390/e27030237
ER  -

APA

Chang, Z., Zhang, Z., Zhou, Z., Li, X., Hao, S., & Sun, H. (2025). In-Motion Initial Alignment Method Based on Multi-Source Information Fusion for Special Vehicles. Entropy. https://doi.org/10.3390/e27030237

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crossref · retrieved 2026-09-26T03:40:25.056Z