SMALL SCALE UNMANNED AIRCRAFT SYSTEM AND PHOTOGRAMMETRY APPLIED FOR 3D MODELING OF HISTORICAL BUILDINGS The Twelfth International Conference on Sensor Device Technologies and Applications SENSORDEVICES 2021 November 14, 2021 to November 18, 2021 - Athens, Greece
Welcome message from author
This document is posted to help you gain knowledge. Please leave a comment to let me know what you think about it! Share it to your friends and learn new things together.
Transcript
SMALL SCALE UNMANNED AIRCRAFT SYSTEM AND PHOTOGRAMMETRY APPLIED FOR 3D MODELING OF HISTORICAL
BUILDINGS
The Twelfth International Conference on Sensor Device Technologies and ApplicationsSENSORDEVICES 2021
November 14, 2021 to November 18, 2021 - Athens, Greece
Alexandre Boente. Graduated in flight mechanics by the Brazilian Air Force, member of the Brazilian Army teachingstaff, He is a Teacher of Colégio Militar do Rio de Janeiro, Master's student in the Defense Engineering Program atthe Military Institute of Engineering.
Thiago Baldivieso, DSc Student in the Defense Engineering Program at the Military Institute of Engineering.
Vinicius Prado da Fonseca (S`15-M`20) obtained his Ph.D. degree in electrical and computer engineering with the Schoolof Electrical Engineering and Computer Science, University of Ottawa, Canada, and his M.Sc. degree from the Military Institute of Engineering, Rio de Janeiro, Brazil. He is currently an assistant professor in the Department of Computer Science at the Memorial University of Newfoundland. His research interests include robotic manipulation, artificial intelligence, fuzzy control, neural networks, smart homes and sensor networks.
Paulo F. F. Rosa, has a PhD on Information Engineering (Niigata Univ - Japan), a M.Eng. in Computer Science and Systems Engineering (Kyushu Inst of Technology - Japan), and an Electronic Engineer degree (UFPE, Brazil). His main research interests is autonomous mobile robots. He is a Professor at Instituto Militar de Engenharia, in Rio de Janeiro.
Thiago Eustaquio Alves de Oliveira (S`15-M`17) obtained his Ph.D. degree in electrical engineering from theSchool of Electrical Engineering and Computer Science, University of Ottawa, Canada, and his M.Sc. degree fromthe Military Institute of Engineering, Rio de Janeiro, Brazil. He is currently an assistant professor in theDepartment of Computer Science at Lakehead University. His research interests include computationalintelligence, biologically inspired computational models and sensors, and tactile and vision sensing. He also serves as Technical Committee Member for international conferences, as conference organizer and as a reviewer for several Journals andTransactions. Dr. Alves de Oliveira is a Member of the IEEE Computer Society Technical Community on Haptics.
Apresentador
Notas de apresentação
Presentation of the group that carried out the 3D reconstruction work.
• This paper presents a methodology for the 3D reconstruction of large-scale cultural assets, such as buildings using photogrammetry.
Apresentador
Notas de apresentação
Here we have the image of the construction obtained by MavicAir 2. The present study uses images from small scale unmanned aircraft systems (UAS) for the 3D reconstruction of the “Palacete da Babilônia”.
Mavic Air2 -DJISpark -DJI
Flight hight: 45 m GSD: 1.59cm/px
Flight hight: 45 m GSD: 1.50cm/px
Flight hight: 45 m GSD: 1.60cm/px
Flight hight: 45 m GSD: 0.80cm/px
Apresentador
Notas de apresentação
Experiments used and compared three models of DJI rotary-wing drones of small size. Height is also a primary factor in the relationship of pixel size with the exact measure of the object. The amount of pixels in a sensor is constant, and the Ground Sample Distance (GSD) is variable with height. The mavic Air 2 lets you choose between 48Mb, 12Mb or 12Mb smart photos.
⮚ Flight examples with the Litchi app:
Orbit Mode Flight Planning
Waypoint Flight Planning
⮚ Flight examples with the Dronelink app:
Grid Flight Planning
⮚ Flight examples with the Copterus app:
Apresentador
Notas de apresentação
The chosen application must automatically provide all the essential information for the model reconstruction with the drone's camera data.
Mavic Pro 249 images in 16:9 format (dimension 4000 x 2250)
Mavic Air 2 697 images in 4:3 format (Dimension 4000 x 3000)
Mavic Air 2 with 526 images, separated by groups of object faces
Apresentador
Notas de apresentação
4:3 format is better than 16:9 format, we gain information. We realized that dividing the faces of the construction into groups helped to improve the 3D reconstruction.(Agisoft metashape) We couldn't get a complete rebuild using Spark images.
Apresentador
Notas de apresentação
Presentation of the best result with Mavic Air 2 in OpenDroneMap software.
Presentation of the best result with Mavic Air 2 in Metashape software:
Apresentador
Notas de apresentação
Presentation of the best result with Mavic Air 2 in Agisoft Metashape software. Image alignment
Dense cloud of points
Apresentador
Notas de apresentação
Dense cloud of points
Model wireframe
Apresentador
Notas de apresentação
Model wireframe
Model Solid
Apresentador
Notas de apresentação
Model solid
The final result of the three-dimensional models generated from the historic construction had to adjust their mesh to be printed on a 3D Fused Deposition Modeling (FDM) printer.
Apresentador
Notas de apresentação
Conclusion: We obtained great results with the Mavic Air2 drone, performing low altitude flights, 45 meters for example. The possibility of using the gimbal angle at 90° and then at 45° contributed to the reconstruction of the roof and side faces of the construction. Flights typically lasted less than 30 minutes. Several applications are available to make the flight easily and automated. The use of small UAVs allows good results in obtaining aerial images for the 3D reconstruction of historical buildings.
Related Documents
