Intelligent Sensing Based on Low Cost Unmanned Aerial Vehicles (UAV) for Bridge Condition Assessment
Document Type
Conference Paper
Publication Date
2014
Publication Title
2014 International Aerial Robotics Competition Symposium Atlanta, GA U.S.A. and Yantai, Shandong
Pages
6 pp.
Conference Name
2014 International Aerial Robotics Competition Symposium Atlanta, GA U.S.A. and Yantai, Shandong, August 2014, Atlanta, Georgia and Yantai, Shandong
Abstract
The eventual completion of this project envisions the use of an Unmanned Aerial Vehicle (UAV) to inspect bridge infrastructure. This project may also be expanded to encompass general object detection and inspection in order to unburden this technology so that it may reach its fullest potential. The project requires research and development in three distinct areas of image processing, control structures, and integration of systems. Initial undergraduate research sets the base knowledge for the overall project, explores the areas of concentration that are desired to expand upon in the future project, and provides a base UAV model that new researchers can easily understand and expand upon. The undergraduate research starts from baseline knowledge gained from previous students, organizes their work, and develops their research into a more workable design. The immediate application of this research will be a competition in August of 2014 where the UAVs potential can be measured against other designs. This will also be a learning experience to help improve the current UAV design.
Rights
© 2014 International Aerial Robotics Competition. All rights reserved.
Included with the kind written permission of the copyright holder.
Original Publication Citation
Teates, T., Boyd, A., & Chen, C.-H. (2014) Intelligent sensing based on low cost unmanned aerial vehicles (UAV) for bridge condition assessment [Paper presentation]. 2014 International Aerial Robotics Competition Symposium, Atlanta, GA U.S.A. and Yantai, Shandong. http://www.aerialroboticscompetition.org/assets/downloads/2014SymposiumPapers/OldDominionUniversity.pdf
Repository Citation
Teates, Theodore; Boyd, Austin; and Chen, Chung-Hao, "Intelligent Sensing Based on Low Cost Unmanned Aerial Vehicles (UAV) for Bridge Condition Assessment" (2014). Electrical & Computer Engineering Faculty Publications. 534.
https://digitalcommons.odu.edu/ece_fac_pubs/534
Included in
Artificial Intelligence and Robotics Commons, Navigation, Guidance, Control and Dynamics Commons