Exploration and Object Detection via Low-Cost Autonomous Drone
Author:
Affiliation:
1. Utah Valley University,ECE Machine Learning and Drone Lab.,Department of Engineering,Orem,Utah,United States
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10151823/10152022/10152139.pdf?arnumber=10152139
Reference11 articles.
1. Survey on coverage path planning with unmanned aerial vehicles;cabreira;Drones,2019
2. A Coverage Path Planning Algorithm for Self-Organizing Drone Swarms
3. Drone Path Planning and Object Detection via QR Codes; A Surrogate Case Study for Wind Turbine Inspection
4. Autonomous Wind-Turbine Blade Inspection Using LiDAR-Equipped Unmanned Aerial Vehicle
5. Optimisation of Wind Turbine Inspection Intervals
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2. Deep Learning for Indoor Pedestal Fan Blade Inspection: Utilizing Low-Cost Autonomous Drones in an Educational Setting;Drones;2024-07-05
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4. Velocity-Based Wind Turbine Blade Deblurring Using Richardson-Lucy Algorithm;2024 Intermountain Engineering, Technology and Computing (IETC);2024-05-13
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