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Autonomous Quadcopter for Building Construction Monitoring
Technical Paper
2020-28-0515
ISSN: 0148-7191, e-ISSN: 2688-3627
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English
Abstract
Feasibility in Manufacturing of autonomous unmanned aerial vehicles at low cost allows the UAV developers to bring it out with numerous applications for society. Civil domain is a widely developing platform which initiated the development of UAV for civilian applications like bridge inspection, building monitoring, life or strength estimation of historical places and also outdoor and indoor mapping of buildings. These autonomous UAVs with high resolution camera fly over and around the construction sites, buildings, mines and captures images of various locations and point clouds in all sides of the building and creates a 3D map by using photogrammetry techniques. The software auto generates the report and updates it to the cloud which can be accessed online. Autonomous operations are quite difficult in new environments which requires SLAM (simultaneous localization and mapping) to operate the UAV between open spaces. This paper describes the technique of mapping a construction site using a quadcopter and determine the completion of such constructions using image processing and machine learning techniques. Obstacle avoidance during the autonomous flight using ultrasonic sensors provide greater flexibility of the vehicle to move around the buildings.
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Authors
- Hariprasad V - Bannari Amman Institute of Technology
- Yaswanth MS - Bannari Amman Institute of Technology
- Sathish V - Bannari Amman Institute of Technology
- Yamuna N - Bannari Amman Institute of Technology
- Karthick Sreenivasan V - Bannari Amman Institute of Technology
- Sivakumar K - Bannari Amman Institute of Technology
Citation
V, H., MS, Y., V, S., N, Y. et al., "Autonomous Quadcopter for Building Construction Monitoring," SAE Technical Paper 2020-28-0515, 2020, https://doi.org/10.4271/2020-28-0515.Data Sets - Support Documents
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References
- Rebolj , D. , Nenad , A.M. , Podbreznik , P. , and Pšunder , M. Automated Construction Activity Monitoring System Advanced Engineering Informatics 22 493 503 2008
- Kim , S. and Irizarry , J. Lessons Learned from Unmanned Aerial System-Based 3D Mapping Experiments 52nd ASC Annual International Conference Proceedings
- Siebert , S. and Teizer , J.
- Feifeia , X. , Zongjianb , L. , Dezhuc , G. , and Huad , L.
- Sept. 2012
- Vanderhorst , H.R. , Suresh , S. , and Suresh , R. Systematic Literature Research of the Current Implementation of Unmanned Aerial System (UAS) in the Construction Industry International Journal of Innovative Technology and Exploring Engineering (IJITEE) 8 11S Sept. 2019 2278-3075
- Giang , N.V. , Long , V.P. , Chất , V.V. , Son , T.S. et al. UAV Photogrammetry for 3D Mapping - A Case Study in Vietnam The 38th Asian Conference on Remote Sensing - ACRS Oct. 2017
- Liew , C.F. , DeLatte , D. , Takeishi , N. , and Yairi , T. Nov. 2017
- Doherty , P. Advanced Research with Autonomous Unmanned Aerial Vehicles Proceedings of the 9th International Conference on Principles of Knowledge Representation and Reasoning 2004