Integrated computer vision algorithms and drone scheduling

Wen Yi; Hans Wang; Yong Jin; Jiannong Cao

doi:10.1016/j.commtr.2021.100002

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Editorial | Open Access

Integrated computer vision algorithms and drone scheduling

Wen Yi^¹, Hans Wang^²(), Yong Jin^³, Jiannong Cao^⁴

School of Built Environment, College of Sciences, Massey University, 0632, Auckland, New Zealand

Faculty of Business, The Hong Kong Polytechnic University, Hong Kong, China

School of Accounting and Finance, The Hong Kong Polytechnic University, Hong Kong, China

Department of Computing, The Hong Kong Polytechnic University, Hong Kong, China

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Maria, G., Baccaglini, E., Brevi, D., Gavelli, M., & Scopigno, R. (2016). A drone-based image processing system for car detection in a smart transport infrastructure. 2016 18th Mediterranean Electrotechnical Conference (MELECON) (pp. 1-5). IEEEhttps://doi.org/10.1109/MELCON.2016.7495454

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Sandler, M., Howard, A., Zhu, M., Zhmoginov, A., & Chen, L. C. (2018). Mobilenetv2: Inverted residuals and linear bottlenecks. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (pp. 4510-4520). IEEEhttps://doi.org/10.1109/CVPR.2018.00474

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Communications in Transportation Research

Volume 1 Issue 1,
2021

Article number: 100002

DOI: 10.1016/j.commtr.2021.100002

Cite this article:

Yi W, Wang H, Jin Y, et al. Integrated computer vision algorithms and drone scheduling. Communications in Transportation Research, 2021, 1(1): 100002. https://doi.org/10.1016/j.commtr.2021.100002