The DOI matches its Crossref record; 165 of the 165 references it cites were found in a registry or an index.
Visual-Inertial Navigation: A Concise Review
Open accessAbstract
As inertial and visual sensors are becoming ubiquitous, visual-inertial navigation systems (VINS) have prevailed in a wide range of applications from mobile augmented reality to aerial navigation to autonomous driving, in part because of the complementary sensing capabilities and the decreasing costs and size of the sensors. In this paper, we survey thoroughly the research efforts taken in this field and strive to provide a concise but complete review of the related work - which is unfortunately missing in the literature while being greatly demanded by researchers and engineers - in the hope to accelerate the VINS research and beyond in our society as a whole.
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Cited by
A Comprehensive Survey of Visual SLAM Algorithms
Macario Barros, A., Michel, M., Moline, Y., Corre, G., & Carrel, F. (2022) · Robotics · doi:10.3390/robotics11010024 · Cited by 429
A survey on visual navigation for artificial agents with deep reinforcement learning
Zeng, F., Wang, C., & Ge, S. S. (2020) · IEEE Access · doi:10.1109/access.2020.3011438 · Cited by 98
Metadata
- Authors
- Huang, G.
- Venue
- 2019 International Conference on Robotics and Automation (ICRA)
- Publisher
- IEEE
- Published
- 2019-05
- Pages
- 9572-9582
- ISSN
- 1050-4729 (ISSN-L)
- OpenAlex
- W2968489055
- Cited by
- 391
- References
- 165
- FWCI
- 69.99
- Type
- conference paper
- Language
- en
- Open access
- green
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