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Umeå University
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Non-linear estimation and contact-free measurements

The ambition is to cover non-linear estimation techniques, especially for contact-free measurement.

We have developed robust and flexible open-source software for non-linear least squares estimation, especially bundle adjustment. Our main cooperation partners are from INSA in Strasbourg, France, AMU Marseille, France, and the Swedish University of Agricultural Sciences in Umeå.

Research projects

DBAT - The Damped Bundle Adjustment toolbox for Matlab
Duration 26 October 2018
Type of project Research project
RSA - Radiostereometric Analysis
Duration 1 January 2018 until 1 December 2018
Type of project Research project
Non-linear algorithms for least squares measurement problems
Research subject: Computing science, Mathematics, Physical sciences
Duration 18 June 2008 until 31 December 2009
Type of project Research project

Latest publications

2020
Efficient computation of posterior covariance in bundle adjustment in DBAT for projects with large number of object points
XXIV ISPRS Congress: Comission II, International Society for Photogrammetry and Remote Sensing (ISPRS) 2020 : 737-744
Börlin, Niclas; Murtiyoso, Arnadi; Grussenmeyer, Pierre
2019
Flexible Photogrammetric Computations Using Modular Bundle Adjustment: The Chain Rule and the Collinearity Equations
Photogrammetric Engineering and Remote Sensing, Bethesda, Maryland, USA: American Society of Photogrammetry and Remote Sensing (ASPRS) 2019, Vol. 85, (5) : 361-368
Börlin, Niclas; Murtiyoso, Arnadi; Grussenmeyer, Pierre; et al.
2019
Implementing Functional Modularity for Processing of General Photogrammetric Data with the Damped Bundle Adjustment Toolbox (DBAT)
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W17, 69–75, 2019 : 69-75
Börlin, Niclas; Murtiyoso, Arnadi; Grussenmeyer, Pierre
2018
Open Source and Independent Methods for Bundle Adjustment Assessment in Close-Range UAV Photogrammetry
Drones, Basel: 2018, Vol. 2, (1)
Murtiyoso, Arnadi; Grussenmeyer, Pierre; Börlin, Niclas; et al.
2018
Improving Underwater Accuracy by Empirical Weighting of Image Observations
ISPRS Technical Commission II Symposium 2018, ISPRS 2018 : 699-705
Menna, Fabio; Nocerino, Erica; Drap, Pierre; et al.
2018
Modular Bundle Adjustment for Photogrammeric Computations
ISPRS Technical Commission II Symposium 2018, ISPRS 2018 : 133-140
Börlin, Niclas; Murtiyoso, Arnadi; Grussenmeyer, Pierre; et al.
2018
Bias of cylinder diameter estimation from ground-based laser scanners with different beam widths: a simulation study
ISPRS journal of photogrammetry and remote sensing (Print), Amsterdam: Elsevier 2018, Vol. 135 : 84-92
Forsman, Mona; Börlin, Niclas; Olofsson, Kenneth; et al.
2017
Reprocessing Close Range Terrestrial and UAV Photogrammetric Projects with the DBAT Toolbox for Independent Verification and Quality Control
LowCost 3D – Sensors, Algorithms, Applications: 5th International Workshop : 171-177
Murtiyoso, Arnadi; Grussenmeyer, Pierre; Börlin, Niclas
2016
Estimation of Tree Stem Attributes using Terrestrial Photogrammetry with a Camera Rig
Forests, Basel, Switzerland: MDPI (Multidisciplinary Digital Publishing Institute) 2016, Vol. 7, (3)
Forsman, Mona; Börlin, Niclas; Holmgren, Johan
2016
External Verification of the Bundle Adjustment in Photogrammetric Software Using the Damped Bundle Adjustment Toolbox
XXIII ISPRS Congress, Commission V: Volume XLI-B5, International Society of Photogrammetry and Remote Sensing 2016 : 7-14
Börlin, Niclas; Grussenmeyer, Pierre
See more publications.