A Machine Learning Based Method for Object Detection and Localization Using a Monocular RGB Camera Equipped Drone-Reference-Cited by-同舟云学术

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A Machine Learning Based Method for Object Detection and Localization Using a Monocular RGB Camera Equipped Drone

Published:2023-06-19 Issue: Volume: Page:
ISSN:
Container-title:2023 International Wireless Communications and Mobile Computing (IWCMC)
language:
Short-container-title:

Author:

Javaid Abdulrahman¹,Syed Miswar Akhtar²,Baroudi Uthman³

Affiliation:

1. Yokogawa Saudi Arabia Company,Research and Development Department,Al Khobar,Saudi Arabia

2. King Fahd University of Petroleum & Minerals,Department of Electrical Engineering,Dhahran,Saudi Arabia

3. King Fahd University of Petroleum & Minerals,Department of Computer Engineering,Dhahran,Saudi Arabia

Funder

King Fahd University of Petroleum and Minerals

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10182387/10182368/10182369.pdf?arnumber=10182369

Reference24 articles.

1. Deep learning-enabled medical computer vision

2. FoveaBox: Beyound Anchor-Based Object Detection

3. Learning Monocular Dense Depth from Events

4. Convolutional neural networks for object detection in aerial imagery for disaster response and recovery

Cited by 2 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 Object Detection-Tracking using Deep Feature Distillation;Proceedings of the 2024 16th International Conference on Machine Learning and Computing;2024-02-02

2. YOLO-based multi-scale ground control point detection in UAV surveying;2023 IEEE Colombian Caribbean Conference (C3);2023-11-22

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