VINS-Mono: A Robust and Versatile Monocular Visual-Inertial State Estimator

Tong Qin, Peiliang Li, Shaojie Shen

Open source

DOI
10.1109/tro.2018.2853729
Published
2018-08
Container
IEEE Transactions on Robotics
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Open access
unknown

Credibility signals

uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1109/tro.2018.2853729,
  title = {VINS-Mono: A Robust and Versatile Monocular Visual-Inertial State Estimator},
  author = {Tong Qin and Peiliang Li and Shaojie Shen},
  year = {2018},
  journal = {IEEE Transactions on Robotics},
  doi = {10.1109/tro.2018.2853729},
  url = {https://doi.org/10.1109/tro.2018.2853729}
}

RIS

TY  - JOUR
TI  - VINS-Mono: A Robust and Versatile Monocular Visual-Inertial State Estimator
AU  - Tong Qin
AU  - Peiliang Li
AU  - Shaojie Shen
PY  - 2018
JO  - IEEE Transactions on Robotics
DO  - 10.1109/tro.2018.2853729
UR  - https://doi.org/10.1109/tro.2018.2853729
ER  - 

APA

Qin, T., Li, P., & Shen, S. (2018). VINS-Mono: A Robust and Versatile Monocular Visual-Inertial State Estimator. IEEE Transactions on Robotics. https://doi.org/10.1109/tro.2018.2853729

Source records