Near-surface pedestrian detection method based on deep learning for UAVs in low illumination environments-Reference-Cited by-同舟云学术

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Near-surface pedestrian detection method based on deep learning for UAVs in low illumination environments

Published:2022-02-09 Issue:02 Volume:61 Page:
ISSN:0091-3286
Container-title:Optical Engineering
language:
Short-container-title:Opt. Eng.

Author:

Wang Congqing¹,Luo Di¹,Liu Yang¹,Xu Bin¹,Zhou Yongjun²

Affiliation:

1. Nanjing University of Aeronautics and Astronautics, College of Automation Engineering, Nanjing

2. Science and Technology on Near-Surface Detection Laboratory, Wuxi

Publisher

SPIE-Intl Soc Optical Eng

Subject

General Engineering,Atomic and Molecular Physics, and Optics

Cited by 10 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Lightweight Pedestrian Detection Network for UAV Remote Sensing Images Based on Strideless Pooling;Remote Sensing;2024-06-26

2. Multi-sensor data fusion for autonomous flight of unmanned aerial vehicles in complex flight environments;Drone Systems and Applications;2024-01-01

3. Hold surrounding’s key-you only look once version 7: a real-time pedestrian and vehicle detection algorithm in the low-signal-to-noise ratio infrared image;Optical Engineering;2023-11-29

4. Application of Voiceprint Recognition Technology Based on Channel Confrontation Training in the Field of Information Security;Electronics;2023-08-02

5. Low saliency crack detection based on improved multimodal object detection network: an example of wind turbine blade inner surface;Journal of Electronic Imaging;2023-06-24

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