1 code implementation • 10 Feb 2023 • Ilayda Yaman, Guoda Tian, Martin Larsson, Patrik Persson, Michiel Sandra, Alexander Dürr, Erik Tegler, Nikhil Challa, Henrik Garde, Fredrik Tufvesson, Kalle Åström, Ove Edfors, Steffen Malkowsky, Liang Liu
The dataset includes color images, corresponding depth maps, inertial measurement unit (IMU) readings, channel response between a 5G massive multiple-input and multiple-output (MIMO) testbed and user equipment, audio recorded by 12 microphones, and accurate six degrees of freedom (6DOF) pose ground truth of 0. 5 mm.
no code implementations • 3 Oct 2021 • Marcus Greiff, Patrik Persson, Zhiyong Sun, Karl Åström, Anders Robertsson
We present a trajectory tracking controller for a quadrotor unmanned aerial vehicle (UAV) configured on $SU(2)\times R^3$, and relate this result to a family of geometric tracking controllers on $SO(3)\times R^3$.
no code implementations • 24 Mar 2021 • Gabrielle Flood, David Gillsjö, Patrik Persson, Anders Heyden, Kalle Åström
We use these representations to perform map merging so that the algorithm is invariant to the merging order and independent of the choice of coordinate system.
2 code implementations • 15 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.
1 code implementation • 21 Dec 2020 • Patrik Persson, Linn Öström, Carl Olsson
For this purpose we propose a network structure that given an image provides a parameterization of a set of depth maps with feasible shapes.
1 code implementation • 8 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.
1 code implementation • 16 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.