A Robust and Integrated Visual Odometry Framework Exploiting the Optical Flow and Feature Point Method

Haiyang Qiu, Xu Zhang, Hui Wang, Dan Xiang, Mingming Xiao, Zhiyu Zhu, Lei Wang

Open source

DOI
10.3390/s23208655
Published
2023-10-23
Container
Sensors
Publisher
MDPI AG
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:10.3390/s23208655,
  title = {A Robust and Integrated Visual Odometry Framework Exploiting the Optical Flow and Feature Point Method},
  author = {Haiyang Qiu and Xu Zhang and Hui Wang and Dan Xiang and Mingming Xiao and Zhiyu Zhu and Lei Wang},
  year = {2023},
  journal = {Sensors},
  doi = {10.3390/s23208655},
  url = {https://doi.org/10.3390/s23208655}
}

RIS

TY  - JOUR
TI  - A Robust and Integrated Visual Odometry Framework Exploiting the Optical Flow and Feature Point Method
AU  - Haiyang Qiu
AU  - Xu Zhang
AU  - Hui Wang
AU  - Dan Xiang
AU  - Mingming Xiao
AU  - Zhiyu Zhu
AU  - Lei Wang
PY  - 2023
JO  - Sensors
DO  - 10.3390/s23208655
UR  - https://doi.org/10.3390/s23208655
ER  - 

APA

Qiu, H., Zhang, X., Wang, H., Xiang, D., Xiao, M., Zhu, Z., & Wang, L. (2023). A Robust and Integrated Visual Odometry Framework Exploiting the Optical Flow and Feature Point Method. Sensors. https://doi.org/10.3390/s23208655

Source records