The DOI matches its Crossref record; 50 of the 50 references it cites were found in a registry or an index.
A survey on vision-based UAV navigation
Open accessAbstract
Research on unmanned aerial vehicles (UAV) has been increasingly popular in the past decades, and UAVs have been widely used in industrial inspection, remote sensing for mapping & surveying, rescuing, and so on. Nevertheless, the limited autonomous navigation capability severely hampers the application of UAVs in complex environments, such as GPS-denied areas. Previously, researchers mainly focused on the use of laser or radar sensors for UAV navigation. With the rapid development of computer vision, vision-based methods, which utilize cheaper and more flexible visual sensors, have shown great advantages in the field of UAV navigation. The purpose of this article is to present a comprehensive literature review of the vision-based methods for UAV navigation. Specifically on visual localization and mapping, obstacle avoidance and path planning, which compose the essential parts of visual navigation. Furthermore, throughout this article, we will have an insight into the prospect of the UAV navigation and the challenges to be faced.
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Cited by
A Survey on the Convergence of Edge Computing and AI for UAVs: Opportunities and Challenges
McEnroe, P., Wang, S., & Liyanage, M. (2022) · IEEE Internet of Things Journal · doi:10.1109/jiot.2022.3176400 · Cited by 482
UAV Path Planning Using Optimization Approaches: A Survey
Ait Saadi, A., Soukane, A., Meraihi, Y., Benmessaoud Gabis, A., Mirjalili, S., & Ramdane-Cherif, A. (2022) · Archives of Computational Methods in Engineering · doi:10.1007/s11831-022-09742-7 · Cited by 269
A Review of GNSS-Independent UAV Navigation Techniques
Gyagenda, N., Hatilima, J. V., Roth, H., & Zhmud, V. (2022) · Robotics and Autonomous Systems · doi:10.1016/j.robot.2022.104069 · Cited by 190
A Survey on Visual Navigation and Positioning for Autonomous UUVs
Qin, J., Li, M., Li, D., Zhong, J., & Yang, K. (2022) · Remote Sensing · doi:10.3390/rs14153794 · Cited by 65
Optimization Methods Applied to Motion Planning of Unmanned Aerial Vehicles: A Review
Israr, A., Ali, Z. A., Alkhammash, E. H., & Jussila, J. J. (2022) · Drones · doi:10.3390/drones6050126 · Cited by 61
Metadata
- Authors
- Lu, Y., Xue, Z., Xia, G.-S., & Zhang, L.
- Venue
- Geo-spatial Information Science
- Publisher
- Informa UK Limited
- Published
- 2018-01-02
- Volume
- 21
- Issue
- 1
- Pages
- 21-32
- ISSN
- 1009-5020 (ISSN-L)
- 1993-5153
- OpenAlex
- W2782715402
- Cited by
- 448
- References
- 50
- FWCI
- 26.30
- Type
- journal article
- Language
- en
- Open access
- gold
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