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  4. Camera Calibration Models and Methods for Corridor Mapping with UAVs
 
conference paper

Camera Calibration Models and Methods for Corridor Mapping with UAVs

Clédat, Emmanuel  
•
Cucci, Davide Antonio  
•
Skaloud, Jan  
2020
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
International Society for Photogrammetry and Remote Sensing

Camera calibration refers to the modeling of the relationship between the coordinates of object points and their projections on the image plane. This is usually done by parametric models that describe the physical properties of the lens systems and camera assemblies, such as the camera principal distance, the principal point, and various types of optical distortions. In photogrammetry, accurate knowledge of the parameters of such models, often referred to as Interior Orientation(IO), is of ultimate importance. In this work, we target advanced corridor mapping applications with UAVs. In this scenario, the camera calibration is not completely observable due to the unfavorable geometry of the flight trajectory (e.g., no cross-flight lines available and a single altitude) and needs to be determined beforehand. Further challenges are introduced by the limited mechanical stability of UAV-grade cameras. This may cause slight variations in the IO that need to be recovered while processing production flights. We review and compare two well-known camera models, the Brown-Conrady and the Ebner's self-calibration functions, in 36 calibration setups and provide a discussion of the results, where sub ground sampling distance accuracy in the checkpoints was achieved for some, but not all, configurations.

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Type
conference paper
DOI
10.5194/isprs-annals-V-1-2020-231-2020
Author(s)
Clédat, Emmanuel  
Cucci, Davide Antonio  
Skaloud, Jan  
Date Issued

2020

Published in
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Volume

V-1-2020, XXIV ISPRS Congress

Issue

231

Start page

231

End page

238

Subjects

Camera calibration

•

interior Orientation

•

lens distortions

•

corridor mapping

•

UAVs

•

topomapp

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
TOPO  
Event nameEvent placeEvent date
International Society for Photogrammetry and Remote Sensing

Virtual

Septembre 1-2, 2020

RelationURL/DOI

IsIdenticalTo

https://doi.org/10.5194/isprs-annals-V-1-2020-231-2020
Available on Infoscience
May 7, 2020
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/168624
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