Dynamic SLAM Dense Point Cloud Map by Fusion of Semantic Information and Bayesian Moving Probability.

An Q, Li S, Wan Y, Xuan W, Chen C, Zhao B, Chen X

DOI: 10.3390/s25175304
Published: 2025 Aug 26
Container: Sensors (Basel, Switzerland)
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3390/s25175304,
  title = {Dynamic SLAM Dense Point Cloud Map by Fusion of Semantic Information and Bayesian Moving Probability.},
  author = {An Q and Li S and Wan Y and Xuan W and Chen C and Zhao B and Chen X},
  year = {2025},
  journal = {Sensors (Basel, Switzerland)},
  doi = {10.3390/s25175304},
  url = {https://doi.org/10.3390/s25175304}
}

RIS

TY  - JOUR
TI  - Dynamic SLAM Dense Point Cloud Map by Fusion of Semantic Information and Bayesian Moving Probability.
AU  - An Q
AU  - Li S
AU  - Wan Y
AU  - Xuan W
AU  - Chen C
AU  - Zhao B
AU  - Chen X
PY  - 2025
JO  - Sensors (Basel, Switzerland)
DO  - 10.3390/s25175304
UR  - https://doi.org/10.3390/s25175304
ER  -

APA

Q, A., S, L., Y, W., W, X., C, C., B, Z., & X, C. (2025). Dynamic SLAM Dense Point Cloud Map by Fusion of Semantic Information and Bayesian Moving Probability.. Sensors (Basel, Switzerland). https://doi.org/10.3390/s25175304

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pubmed · retrieved 2026-11-10T07:21:23.768Z