Decision Support System; System Software; Proactive Systems; Robotics; Proactive computing
Résumé :
[en] Robots have to be able to function in a multitude of different situations and environments. To help them achieve this, they are usually equipped with a large set of sensors whose data will be used in order to make decisions. However, the sensors can malfunction, be influenced by noise or simply be imprecise. Existing sensor fusion techniques can be used in order to overcome some of these problems, but we believe that data can be improved further by computing context information and using a proactive rule-based system to detect potentially conflicting data coming from different sensors. In this paper we will present the architecture and scenarios for a generic model taking context into account.
Disciplines :
Sciences informatiques
Auteur, co-auteur :
NEYENS, Gilles ; University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC)
ZAMPUNIERIS, Denis ; University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC)
Co-auteurs externes :
no
Langue du document :
Anglais
Titre :
Proactive Model for Handling Conflicts in Sensor Data Fusion Applied to Robotic Systems
Date de publication/diffusion :
2019
Nom de la manifestation :
14th International Conference on Software Technologies (ICSOFT), 2019 Prague, Czech Republic, 26 - 28 July, 2019
Organisateur de la manifestation :
INSTICC
Lieu de la manifestation :
Prague, République Tchèque
Date de la manifestation :
26 - 28 July, 2019
Manifestation à portée :
International
Titre de l'ouvrage principal :
Proceedings of the 14th International Conference on Software Technologies (ICSOFT), 2019 Prague, Czech Republic, 26 - 28 July, 2019
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