4 citations · 6 across the 5 of their papers we have counts for
5 papers · 1 filter
Generic Merging of Structure from Motion Maps with a Low Memory Footprint
Gabrielle Flood, David Gillsjö, Patrik Persson +2
With the development of cheap image sensors, the amount of available image data have increased enormously, and the possibility of using crowdsourced collection methods has emerged.…
Trust Your IMU: Consequences of Ignoring the IMU Drift
Marcus Valtonen Örnhag, Patrik Persson, Mårten Wadenbäck +2
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. This allows us t…
Monocular Depth Parameterizing Networks
Patrik Persson, Linn Öström, Carl Olsson
Monocular depth estimation is a highly challenging problem that is often addressed with deep neural networks. While these are able to use recognition of image features to predict r…
Efficient Real-Time Radial Distortion Correction for UAVs
Marcus Valtonen Örnhag, Patrik Persson, Mårten Wadenbäck +2
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…
Minimal Solvers for Indoor UAV Positioning
Marcus Valtonen Örnhag, Patrik Persson, Mårten Wadenbäck +2
In this paper we consider a collection of relative pose problems which arise naturally in applications for visual indoor UAV navigation. We focus on cases where additional informat…