Review of Unmanned Aerial System (UAS) applications in the built environment: Towards automated building inspection procedures using drones

Rakha, Tarek; Gorodetsky, Alice

doi:10.1016/j.autcon.2018.05.002

Cited by 334 publications

(189 citation statements)

References 37 publications

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“…UAV-based infrared remote sensing present an opportunity to inspect and analyze urban thermal environment, building performance and heat transfer at a micro scale so as to maintain the energy efficiency of such infrastructure and building stock [168]. An example of monitoring thermal environment in buildings using UAVs is shown in Fig.…”

Section: Built Environment Monitoring and Assessmentmentioning

confidence: 99%

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Mini-Unmanned Aerial Vehicle-Based Remote Sensing: Techniques, applications, and prospects

Xiang

Xia

Zhang

2019

IEEE Geosci. Remote Sens. Mag.

164

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The past few decades have witnessed the great progress of unmanned aircraft vehicles (UAVs) in civilian fields, especially in photogrammetry and remote sensing. In contrast with the platforms of manned aircraft and satellite, the UAV platform holds many promising characteristics: flexibility, efficiency, highspatial/temporal resolution, low cost, easy operation, etc., which make it an effective complement to other remote-sensing platforms and a cost-effective means for remote sensing. Considering the popularity and expansion of UAV-based remote sensing in recent years, this paper provides a systematic survey on the recent advances and future prospectives of UAVs in the remote-sensing community. Specifically, the main challenges and key technologies of remote-sensing data processing based on UAVs are discussed and summarized firstly. Then, we provide an overview of the widespread applications of UAVs in remote sensing. Finally, some prospects for future work are discussed. We hope this paper will provide remotesensing researchers an overall picture of recent UAV-based remote sensing developments and help guide the further research on this topic.

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Section: Built Environment Monitoring and Assessmentmentioning

confidence: 99%

“…Monitoring of thermal information of buildings by UAVs[168]. Data acquisition for building inspection by UAVs and infrared images of buildings which reflect thermal information (top).…”

mentioning

confidence: 99%

Mini-Unmanned Aerial Vehicle-Based Remote Sensing: Techniques, applications, and prospects

Xiang

Xia

Zhang

2019

IEEE Geosci. Remote Sens. Mag.

164

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show abstract

“…It is worth noting that it is possible to use SfM on thermal images, and thus, create a 3D thermal model alone or with both IR and visible light images (Ham and Golparvar-Fard, 2014;Rakha and Gorodetsky, 2018). However, in this case, due to the type of IR camera used and the surrounding buildings, it was impossible to take enough images in the short time available to create such a model.…”

Section: Sfm-based Inventory and Modelling Of The Buildingmentioning

confidence: 99%

Thermal and spatial data integration for recreating rebuilding stages of wooden and masonry buildings

Lewińska

Maciuk

2020

The Photogrammetric Record

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This paper describes the means of supporting virtual reconstruction of wooden and masonry buildings with the use of thermal infrared images. Not all remaining architectural heritage can be physically preserved. War, climate change and rapidly growing cities have caused damage and degradation to valuable historical buildings. In order to preserve them virtually, various methods of 3D modelling have been employed. This paper presents information on how to create a full 3D inventory of a building’s exterior. This includes a 3D thermal model of the building, merging thermal camera data with a spatial model, which aids the reconstruction of previous stages of a building’s existence. The authors argue that in cases when it is impossible to force heat transfer from inside the structure (via man‐made heating), 24 hours of observations using only solar heating can be sufficient to find heat bridges and other thermal anomalies that can be used for virtual reconstruction.

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“…In fact, terrestrial laser scanning is recently linked to FEM updating process, and therefore, SHM [70]. In addition, the advent of drone technologies combined with photogrammetry made it possible to collect aerial information for building inspection [71]. Such complementary tools can also take part in the development of future cyber-physical infrastructure and collocated usage of similar systems is likely to happen in the near future.…”

Section: Simulation Of Seismic Response and Reliabilitymentioning

confidence: 99%

Structural Reliability Estimation with Participatory Sensing and Mobile Cyber-Physical Structural Health Monitoring Systems

Feng

2019

Applied Sciences

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With the help of community participants, smartphones can become useful wireless sensor network (WSN) components, form a self-governing structural health monitoring (SHM) system, and merge structural mechanics with participatory sensing and server computing. This paper presents a methodology and framework of such a cyber-physical system (CPS) that generates a bridge finite element model (FEM) integrated with vibration measurements from smartphone WSNs and centralized/distributed computational facilities, then assesses structural reliability based on updated FEMs. Structural vibration data obtained from smartphones are processed on a server to identify modal frequencies of an existing bridge. Without design drawings and supportive documentation but field measurements and observations, FEM of the bridge is drafted with uncertainties in the structural mass, stiffness, and boundary conditions (BCs). Then, 2700 FEMs are autonomously generated, and the baseline FEM is updated by minimizing the error between the crowdsourcing-based modal identification results and the FEM analysis. Furthermore, using 151 strong ground motion records from databases, the bridge response time history simulations are conducted to obtain displacement demand distribution. Finally, based on reference performance criteria, structural reliability of the bridge is estimated. Integrating the cyber (FEM analysis) and the physical (the bridge structure and measured vibration characteristics) worlds, this crowdsourcing-based CPS can provide a powerful tool for supporting rapid, remote, autonomous, and objective infrastructure-related decision-making. This study presents a new example of the emerging fourth industrial revolution from structural engineering and SHM perspective.

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Review of Unmanned Aerial System (UAS) applications in the built environment: Towards automated building inspection procedures using drones

Cited by 334 publications

References 37 publications

Mini-Unmanned Aerial Vehicle-Based Remote Sensing: Techniques, applications, and prospects

Mini-Unmanned Aerial Vehicle-Based Remote Sensing: Techniques, applications, and prospects

Thermal and spatial data integration for recreating rebuilding stages of wooden and masonry buildings

Structural Reliability Estimation with Participatory Sensing and Mobile Cyber-Physical Structural Health Monitoring Systems

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