Vehicle Detection in Aerial Images Based on 3D Depth Maps and Deep Neural Networks-Reference-Cited by-同舟云学术

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Vehicle Detection in Aerial Images Based on 3D Depth Maps and Deep Neural Networks

Published:2021 Issue: Volume:9 Page:8381-8391
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Javadi Saleh^ORCID,Dahl Mattias^ORCID,Pettersson Mats I.^ORCID

Funder

Municipality of Karlshamn, Sweden

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/9312710/09316169.pdf?arnumber=9316169

Cited by 26 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. Fast vehicle detection method based on improved YOLOv5s;International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2024);2024-06-13

2. A review on deep learning-based object tracking methods;Multiagent and Grid Systems;2024-06-11

3. OSTM-NET: Joint scale variation and occlusion handling deep network for real-time vehicle counting and volume estimation;Digital Signal Processing;2024-06

4. An Integration of Satellite A Based Network With Higher Level Type Network with the use of P-P Connection: A Deep Review;2024 4th International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE);2024-05-14

5. A deep neural network for vehicle detection in aerial images;Journal of Intelligent & Fuzzy Systems;2024-04-08

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