Zobrazeno 1 - 10
of 12 149
pro vyhledávání: '"Folkesson A"'
Autor:
Kiessling, Alexander, Torroba, Ignacio, Sidrane, Chelsea Rose, Stenius, Ivan, Tumova, Jana, Folkesson, John
Informative path planning (IPP) applied to bathymetric mapping allows AUVs to focus on feature-rich areas to quickly reduce uncertainty and increase mapping efficiency. Existing methods based on Bayesian optimization (BO) over Gaussian Process (GP) m
Externí odkaz:
http://arxiv.org/abs/2410.15720
Multibeam echo-sounder (MBES) is the de-facto sensor for bathymetry mapping. In recent years, cheaper MBES sensors and global mapping initiatives have led to exponential growth of available data. However, raw MBES data contains 1-25% of noise that re
Externí odkaz:
http://arxiv.org/abs/2409.13143
Addressing hard cases in autonomous driving, such as anomalous road users, extreme weather conditions, and complex traffic interactions, presents significant challenges. To ensure safety, it is crucial to detect and manage these scenarios effectively
Externí odkaz:
http://arxiv.org/abs/2405.20991
Deep learning has shown promising results for multiple 3D point cloud registration datasets. However, in the underwater domain, most registration of multibeam echo-sounder (MBES) point cloud data are still performed using classical methods in the ite
Externí odkaz:
http://arxiv.org/abs/2405.06279
Implicit neural representations and neural rendering have gained increasing attention for bathymetry estimation from sidescan sonar (SSS). These methods incorporate multiple observations of the same place from SSS data to constrain the elevation esti
Externí odkaz:
http://arxiv.org/abs/2405.05807
Autor:
Mohamad, Mazen, Avula, Ramana Reddy, Folkesson, Peter, Kleberger, Pierre, Mirzai, Aria, Skoglund, Martin, Damschen, Marvin
The increased importance of cybersecurity in autonomous machinery is becoming evident in the forestry domain. Forestry worksites are becoming more complex with the involvement of multiple systems and system of systems. Hence, there is a need to inves
Externí odkaz:
http://arxiv.org/abs/2404.19643
Publikováno v:
IEEE ROBOTICS AND AUTOMATION LETTERS, VOL. 9, NO. 9, SEPTEMBER 2024
This research addresses the challenge of estimating bathymetry from imaging sonars where the state-of-the-art works have primarily relied on either supervised learning with ground-truth labels or surface rendering based on the Lambertian assumption.
Externí odkaz:
http://arxiv.org/abs/2404.14819
Side-scan sonar (SSS) is a lightweight acoustic sensor that is commonly deployed on autonomous underwater vehicles (AUVs) to provide high-resolution seafloor images. However, leveraging side-scan images for simultaneous localization and mapping (SLAM
Externí odkaz:
http://arxiv.org/abs/2312.13802
The evolution of autonomous driving has made remarkable advancements in recent years, evolving into a tangible reality. However, a human-centric large-scale adoption hinges on meeting a variety of multifaceted requirements. To ensure that the autonom
Externí odkaz:
http://arxiv.org/abs/2311.08206
Autor:
Katrine Wegener Tams, Anders Rhod Larsen, Karl Pedersen, Anna Cäcilia Ingham, Anders Folkesson, Inge Larsen, Øystein Angen, Mikael Lenz Strube
Publikováno v:
Animal Microbiome, Vol 6, Iss 1, Pp 1-11 (2024)
Abstract Pork is currently a major part of Danish food export and is also a key dietary source of protein across the world. Industrial pork production, however, comes with high antibiotic usage in many countries, including Denmark. This has created c
Externí odkaz:
https://doaj.org/article/68db0bd5047149ef848bc6581e97a699
