Lightweight CNN model: automated vehicle detection in aerial images
Author:
Funder
Industry-Driven Innovation Grant
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Signal Processing
Link
https://link.springer.com/content/pdf/10.1007/s11760-022-02328-7.pdf
Reference34 articles.
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3. Yang, Z., Pun-Cheng, L.S.C.: Vehicle detection in intelligent transportation systems and its applications under varying environments: a review. Image Vis. Comput. 69, 143–154 (2018)
4. Baran, R., Rusc, T., Fornalski, P.: A smart camera for the surveillance of vehicles in intelligent transportation systems. Multimed Tools Appl 75(17), 10471–10493 (2015)
5. Khalifa, O.O., Wajdi, M.H., Saeed, R.A., Hashim, A.H., Ahmed, M.Z., Ali, E.S.: Vehicle detection for vision-based intelligent transportation systems using convolutional neural network algorithm. J. Adv. Transp. (2022). https://doi.org/10.1155/2022/9189600
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