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2015 12th Conference on Computer and Robot Vision, 2015
This paper demonstrates infrastructure-free orbital Simultaneous Localization and Mapping (SLAM). Individual surface landmarks are tracked through images taken in orbit and the filter receives measurements of these landmarks in the form of bearing angles. The filter then updates the spacecraft's position and velocity as well as landmark locations, thus
Corinne Vassallo +2 more
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This paper demonstrates infrastructure-free orbital Simultaneous Localization and Mapping (SLAM). Individual surface landmarks are tracked through images taken in orbit and the filter receives measurements of these landmarks in the form of bearing angles. The filter then updates the spacecraft's position and velocity as well as landmark locations, thus
Corinne Vassallo +2 more
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DT-SLAM: Deferred Triangulation for Robust SLAM
2014 2nd International Conference on 3D Vision, 2014Obtaining a good baseline between different video frames is one of the key elements in vision-based monocular SLAM systems. However, if the video frames contain only a few 2D feature correspondences with a good baseline, or the camera only rotates without sufficient translation in the beginning, tracking and mapping becomes unstable.
Daniel Herrera C. +4 more
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2012 20th Mediterranean Conference on Control & Automation (MED), 2012
Environment perception is a crucial ability for robot's interaction into an environment. One of the first steps in this direction is the combined problem of simultaneous localization and mapping (SLAM). A new method, called G-SLAM, is proposed, where the map is considered as a set of scattered points in the continuous space followed by a probability ...
Nikos Zikos, Vassilios Petridis
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Environment perception is a crucial ability for robot's interaction into an environment. One of the first steps in this direction is the combined problem of simultaneous localization and mapping (SLAM). A new method, called G-SLAM, is proposed, where the map is considered as a set of scattered points in the continuous space followed by a probability ...
Nikos Zikos, Vassilios Petridis
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The International Journal of Robotics Research, 2019
Estimation-over-graphs (EoG) is a class of estimation problems that admit a natural graphical representation. Several key problems in robotics and sensor networks, including sensor network localization, synchronization over a group, and simultaneous localization and mapping (SLAM) fall into this category. We pursue two main goals in this work.
Kasra Khosoussi +5 more
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Estimation-over-graphs (EoG) is a class of estimation problems that admit a natural graphical representation. Several key problems in robotics and sensor networks, including sensor network localization, synchronization over a group, and simultaneous localization and mapping (SLAM) fall into this category. We pursue two main goals in this work.
Kasra Khosoussi +5 more
openaire +3 more sources
2011 IEEE Intelligent Vehicles Symposium (IV), 2011
Frank Moosmann, Christoph Stiller
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Frank Moosmann, Christoph Stiller
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Assessment of three-dimensional effects on slamming load predictions using OpenFoam
Applied Ocean Research, 2021Gong Xiang, C Guedes Soares
exaly
Experimental drop test investigation into cross deck slamming loads on a trimaran
Ocean Engineering, 2021Qiang Wang, Pengyao Yu, Gaojie Fan
exaly
2014
SLAM est un outil de gestion des paramètres réseau (DHCP/DNS) développé par le LAL. L’objectif de cet outil est defournir une interface conviviale pour gérer ces différents services. A travers une interface web, l’utilisateur peut réserverune adresse IP qu’il associe à un matériel (représenté par son adresse MAC).
openaire +3 more sources
SLAM est un outil de gestion des paramètres réseau (DHCP/DNS) développé par le LAL. L’objectif de cet outil est defournir une interface conviviale pour gérer ces différents services. A travers une interface web, l’utilisateur peut réserverune adresse IP qu’il associe à un matériel (représenté par son adresse MAC).
openaire +3 more sources