Search Results for author: Marcus Valtonen Örnhag

Found 6 papers, 4 papers with code

Trust Your IMU: Consequences of Ignoring the IMU Drift

2 code implementations15 Mar 2021 Marcus Valtonen Örnhag, Patrik Persson, Mårten Wadenbäck, Kalle Åström, Anders Heyden

In this paper, we argue that modern pre-integration methods for inertial measurement units (IMUs) are accurate enough to ignore the drift for short time intervals.

Efficient Real-Time Radial Distortion Correction for UAVs

1 code implementation8 Oct 2020 Marcus Valtonen Örnhag, Patrik Persson, Mårten Wadenbäck, Kalle Åström, Anders Heyden

In this paper we present a novel algorithm for onboard radial distortion correction for unmanned aerial vehicles (UAVs) equipped with an inertial measurement unit (IMU), that runs in real-time.

Accurate Optimization of Weighted Nuclear Norm for Non-Rigid Structure from Motion

no code implementations ECCV 2020 José Pedro Iglesias, Carl Olsson, Marcus Valtonen Örnhag

In contrast, when applying more general singular value penalties, such as weighted nuclear norm priors, direct optimization over the elements of the matrix is typically used.

Minimal Solvers for Indoor UAV Positioning

1 code implementation16 Mar 2020 Marcus Valtonen Örnhag, Patrik Persson, Mårten Wadenbäck, Kalle Åström, Anders Heyden

In this paper we consider a collection of relative pose problems which arise naturally in applications for visual indoor UAV navigation.

Motion Estimation Navigate

A Unified Optimization Framework for Low-Rank Inducing Penalties

1 code implementation23 Jan 2020 Marcus Valtonen Örnhag, Carl Olsson, Anders Heyden

Lastly, we show on real non-rigid structure-from-motion (NRSfM) datasets, the issues that arise from using weighted nuclear norm penalties, and how this can be remedied using our proposed method.

Optimization and Control

Bilinear Parameterization For Differentiable Rank-Regularization

no code implementations27 Nov 2018 Marcus Valtonen Örnhag, Carl Olsson, Anders Heyden

Either the set of matrices with a given rank can be explicitly parametrized using a bilinear factorization, or low rank can be implicitly enforced using regularization terms penalizing non-zero singular values.

Second-order methods

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