Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Framework for Automated UAV-Based Inspection of External Building Façades
Aging defective building façades pose potential hazards to both public property and personnel safety. The current inspection regime for building facades involves large investments of labour, time and cost, with significant safety concerns when accessing areas at height. Hence, there is urgent need to explore and automate the current inspection process for building façades by incorporating assistive intelligent technologies. Unmanned aerial vehicles (UAVs) equipped with remote sensing technologies provide an opportunity to automate the inspection process and transform it to become less labour-dependent by incorporating building diagnostics technology. This chapter presents a framework for an automated vision-based building façade diagnosis approach using UAV. The typical challenges of building condition assessment are identified based on a comprehensive review of literature that address this topic. A case study of applying the framework on a real building façade inspection is further conducted to present coherently the detailed steps involved in the workflow, including UAV path planning and data acquisition, image-based 3D reconstruction and defects identification. The presented study serves as a critical reference for adopting automation in a large facade inspection process.
Framework for Automated UAV-Based Inspection of External Building Façades
Aging defective building façades pose potential hazards to both public property and personnel safety. The current inspection regime for building facades involves large investments of labour, time and cost, with significant safety concerns when accessing areas at height. Hence, there is urgent need to explore and automate the current inspection process for building façades by incorporating assistive intelligent technologies. Unmanned aerial vehicles (UAVs) equipped with remote sensing technologies provide an opportunity to automate the inspection process and transform it to become less labour-dependent by incorporating building diagnostics technology. This chapter presents a framework for an automated vision-based building façade diagnosis approach using UAV. The typical challenges of building condition assessment are identified based on a comprehensive review of literature that address this topic. A case study of applying the framework on a real building façade inspection is further conducted to present coherently the detailed steps involved in the workflow, including UAV path planning and data acquisition, image-based 3D reconstruction and defects identification. The presented study serves as a critical reference for adopting automation in a large facade inspection process.
Framework for Automated UAV-Based Inspection of External Building Façades
Advances in 21st Century Human Settlements
Wang, Brydon T. (Herausgeber:in) / Wang, C. M. (Herausgeber:in) / Liu, Yiqing (Autor:in) / Lin, Yuehan (Autor:in) / Yeoh, Justin K. W. (Autor:in) / Chua, David K. H. (Autor:in) / Wong, Lawrence W. C. (Autor:in) / Ang, Marcelo H. (Autor:in) / Lee, W. L. (Autor:in) / Chew, Michael Y. L. (Autor:in)
05.01.2021
22 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
Preventing Failures by Inspection of Chicago Building Facades
| British Library Conference Proceedings | 2000
Guidelines for Inspection of Natural Stone Building Facades
| British Library Conference Proceedings | 2004
Low-cost aerial unit for outdoor inspection of building façades
| Online Contents | 2013