Zobrazeno 21 - 30
of 624
pro vyhledávání: '"Magnusson, Martin"'
Autor:
Adolfsson, Daniel, Magnusson, Martin, Alhashimi, Anas, Lilienthal, Achim J., Andreasson, Henrik
This paper presents an efficient and accurate radar odometry pipeline for large-scale localization. We propose a radar filter that keeps only the strongest reflections per-azimuth that exceeds the expected noise level. The filtered radar data is used
Externí odkaz:
http://arxiv.org/abs/2109.09994
Autor:
Adolfsson, Daniel, Magnusson, Martin, Liao, Qianfang, Lilienthal, Achim J., Andreasson, Henrik
In robotics perception, numerous tasks rely on point cloud registration. However, currently there is no method that can automatically detect misaligned point clouds reliably and without environment-specific parameters. We propose "CorAl", an alignmen
Externí odkaz:
http://arxiv.org/abs/2109.09820
Autor:
Alhashimi, Anas, Adolfsson, Daniel, Magnusson, Martin, Andreasson, Henrik, Lilienthal, Achim J.
This paper presents a new detector for filtering noise from true detections in radar data, which improves the state of the art in radar odometry. Scanning Frequency-Modulated Continuous Wave (FMCW) radars can be useful for localization and mapping in
Externí odkaz:
http://arxiv.org/abs/2109.09669
Autor:
Lind, Ricky, Magnusson, Martin
Begreppet drönare för de flesta utomstående förknippas oftast med hobbyverksamhet i form av foto- och videoskapande. Det senaste åren har allt fler byggföretag valt att satsa på arbetsmetoder där drönare tillåts ersätta befintlig utrustnin
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-168754
Autor:
Adolfsson, Daniel, Magnusson, Martin, Alhashimi, Anas, Lilienthal, Achim J., Andreasson, Henrik
This paper presents the accurate, highly efficient, and learning-free method CFEAR Radarodometry for large-scale radar odometry estimation. By using a filtering technique that keeps the k strongest returns per azimuth and by additionally filtering th
Externí odkaz:
http://arxiv.org/abs/2105.01457
Autor:
Jujić, Amra, Molvin, John, Nilsson, Erik D., Holm Isholth, Hannes, Dieden, Anna, Korduner, Johan, Zaghi, Amir, Nezami, Zainu, Bergmann, Andreas, Schomburg, Lutz, Magnusson, Martin
Publikováno v:
In Journal of Cardiac Failure January 2024
Autor:
Larsson, Carl, Magnusson, Martin
The Swedish car manufacturer, Volvo Cars, are a pioneer in the automotive industry regarding vehicle safety. Ever since they invented the three-point seat belt, the safety aspect has been their main priority. Today, a car is equipped with new technol
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-74807
Autor:
Kucner, Tomasz Piotr, Luperto, Matteo, Lowry, Stephanie, Magnusson, Martin, Lilienthal, Achim J.
State of the art mapping algorithms can produce high-quality maps. However, they are still vulnerable to clutter and outliers which can affect map quality and in consequence hinder the performance of a robot, and further map processing for semantic u
Externí odkaz:
http://arxiv.org/abs/2004.08794
Autor:
Sun, Li, Adolfsson, Daniel, Magnusson, Martin, Andreasson, Henrik, Posner, Ingmar, Duckett, Tom
This paper proposes a novel approach for global localisation of mobile robots in large-scale environments. Our method leverages learning-based localisation and filtering-based localisation, to localise the robot efficiently and precisely through seed
Externí odkaz:
http://arxiv.org/abs/2003.01875
Autor:
Jujic, Amra, Molvin, John, Schomburg, Lutz, Hartmann, Oliver, Bergmann, Andreas, Melander, Olle, Magnusson, Martin
Publikováno v:
In Free Radical Biology and Medicine October 2023 207:11-16