RSOD: Real-time small object detection algorithm in UAV-based traffic monitoring-Reference-Cited by-同舟云学术

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RSOD: Real-time small object detection algorithm in UAV-based traffic monitoring

Published:2021-10-29 Issue: Volume: Page:
ISSN:0924-669X
Container-title:Applied Intelligence
language:en
Short-container-title:Appl Intell

Author:

Sun Wei,Dai Liang,Zhang Xiaorui,Chang Pengshuai,He Xiaozheng

Funder

National Natural Science Foundation of China

Natural Science Foundation of Jiangsu Province

Innovation and Entrepreneurship Training Project of College Students

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence

Link

https://link.springer.com/content/pdf/10.1007/s10489-021-02893-3.pdf

Reference41 articles.

1. Zhao P, Hu H (2019) Geographical patterns of traffic congestion in growing megacities: Big data analytics from Beijing [J]. Cities 92:164–174

2. El-Sayed H, Chaqfa M, Zeadally S et al (2019) A traffic-aware approach for enabling unmanned aerial vehicles (UAVs) in smart city scenarios [J]. IEEE Access 7:86297–86305

3. Kong Z, Zhang N, Guan X et al (2021) Detecting slender objects with uncertainty based on keypoint-displacement representation [J]. Neural Networks 139:246–254

4. Ren J, Guo Y, Zhang D et al (2018) Distributed and efficient object detection in edge computing: challenges and solutions [J]. IEEE Network 32(6):137–143

5. Sun W, Zhang X, He X (2020) A Two-stage vehicle type recognition method combining the most effective gabor features [J]. Cmc-Computers Materials And Continua 65(3):2489–2510

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