Autonomous Drones in Urban Navigation: Autoencoder Learning Fusion for Aerodynamics
Article Properties
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LanguageEnglish
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DOI (url)
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Indian UGC (journal)
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Refrences60
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Jiahao Wu Ph.D. Student, Informatics, Cobots, and Intelligent Construction Lab, Dept. of Civil and Coastal Engineering, Univ. of Florida, Gainesville, FL 32611.
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Yang Ye Ph.D. Candidate, Informatics, Cobots, and Intelligent Construction Lab, Dept. of Civil and Coastal Engineering, Univ. of Florida, Gainesville, FL 32611.
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Jing Du Professor, Informatics, Cobots, and Intelligent Construction Lab, Dept. of Civil and Coastal Engineering, Univ. of Florida, Gainesville, FL 32611 (corresponding author). ORCID: . ORCID
Cite
Wu, Jiahao, et al. “Autonomous Drones in Urban Navigation: Autoencoder Learning Fusion for Aerodynamics”. Journal of Construction Engineering and Management, vol. 150, no. 7, https://doi.org/10.1061/jcemd4.coeng-14787.
Wu, J., Ye, Y., & Du, J. (n.d.). Autonomous Drones in Urban Navigation: Autoencoder Learning Fusion for Aerodynamics. Journal of Construction Engineering and Management, 150(7). https://doi.org/10.1061/jcemd4.coeng-14787
Wu, Jiahao, Yang Ye, and Jing Du. “Autonomous Drones in Urban Navigation: Autoencoder Learning Fusion for Aerodynamics”. Journal of Construction Engineering and Management 150, no. 7 (n.d.). https://doi.org/10.1061/jcemd4.coeng-14787.
Wu J, Ye Y, Du J. Autonomous Drones in Urban Navigation: Autoencoder Learning Fusion for Aerodynamics. Journal of Construction Engineering and Management. 150(7).
Journal Categories
Technology
Building construction
Architectural engineering
Structural engineering of buildings
Technology
Engineering (General)
Civil engineering (General)
Technology
Technology (General)
Industrial engineering
Management engineering
Information technology
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Refrences
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
Drone and sensor technology for sustainable weed management: a review | Chemical and Biological Technologies in Agriculture |
| 63 | 2021 |
| Multi-sensor fusion in automated driving: A survey | IEEE Access |
| 2019 | |
| 10.1109/ECMR.2017.8098709 | ||||
| 10.1109/ICRA48506.2021.9561172 | ||||
| 10.1109/ICICS49469.2020.239530 |