Parametrical Study and Optimization Using Unmanned Aerial Vehicle Measurement in Bridge Construction Alignment

doi:10.11908/j.issn.0253-374x.21097

Home > Archive>Volume 50, Issue 1, 2022 >32-41. DOI:10.11908/j.issn.0253-374x.21097

Parametrical Study and Optimization Using Unmanned Aerial Vehicle Measurement in Bridge Construction Alignment
DOI:
                        10.11908/j.issn.0253-374x.21097
                    
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                        SHI XuefeiSHI Xuefei
College of Civil Engineering， Tongji University， Shanghai 200092， China
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XU QiXU Qi
College of Civil Engineering， Tongji University， Shanghai 200092， China
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MA HaiyingMA Haiying
College of Civil Engineering， Tongji University， Shanghai 200092， China
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Affiliation:College of Civil Engineering， Tongji University， Shanghai 200092， China
Clc Number:TU997;P23
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Abstract:

Alignment measurement is necessary during bridge construction. However， traditional measurement methods consume a lot of time and labors， especially for long-distance measurement. Unmanned aerial vehicle （UAV） photogrammetry has the advantages of high maneuverability， low cost， and independence on labor. The application of UAV to bridge alignment measurement can improve efficiency and promote construction control automation. In this paper， the framework and control parameters using UAV were studied as well as the layout of markers and route planning suitable for construction site. An experimental study was conducted to investigate the influence of parameters on the measurement accuracy including flying height， angle of bundle， photo overlap and quantity， based on which， the optimization method using UAV in bridge alignment survey was proposed. With the optimized measurement scheme， the coordinate measurement accuracy of each point can reach the millimeter level.

Key words:construction control;construction alignment;photogrammetry;unmanned aerial vehicle;control parameters

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SHI Xuefei, XU Qi, MA Haiying. Parametrical Study and Optimization Using Unmanned Aerial Vehicle Measurement in Bridge Construction Alignment[J].同济大学学报(自然科学版),2022,50(1):32~41

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Received:March 15,2021
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Online: February 17,2022
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