Vision-based Inspection of Flare Stacks Operation Using a Visual Servoing Controlled Autonomous Unmanned Aerial Vehicle (UAV)
Author:
Affiliation:
1. Khalifa University,Department of Electrical Engineering and Computer Science,Abu Dhabi,UAE
2. Khalifa University,Department of Mechanical Engineering,Abu Dhabi,UAE
Funder
Abu Dhabi National Oil Company
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9968313/9968303/09968467.pdf?arnumber=9968467
Reference9 articles.
1. Adaptive Output-Feedback Image-Based Visual Servoing for Quadrotor Unmanned Aerial Vehicles
2. Convolutional neural network for smoke and fire semantic segmentation
3. A survey Of learning-Based control of robotic visual servoing systems
4. Output-Feedback Image-Based Visual Servoing for Multirotor Unmanned Aerial Vehicle Line Following
5. Yolov3: An incremental improvement;redmon,2018
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2. Vision-Based Analytics of Flare Stacks Using Deep Learning Detection;2023 21st International Conference on Advanced Robotics (ICAR);2023-12-05
3. Multi-view Inspection of Flare Stacks Operation Using a Vision-controlled Autonomous UAV;IECON 2023- 49th Annual Conference of the IEEE Industrial Electronics Society;2023-10-16
4. Autonomous Inspection of Flare Stacks Using an Unmanned Aerial System;Unmanned Aerial Vehicles Applications: Challenges and Trends;2023
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