Reference : Proactive Model for Handling Conflicts in Sensor Data Fusion Applied to Robotic Systems

	Document type :	Scientific congresses, symposiums and conference proceedings : Paper published in a book
	Discipline(s) :	Engineering, computing & technology : Computer science
	Focus Areas :	Computational Sciences
	To cite this reference:	http://hdl.handle.net/10993/40433

Title :	Proactive Model for Handling Conflicts in Sensor Data Fusion Applied to Robotic Systems
Language :	English
Author, co-author :	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) >]
Publication date :	2019
Main document title :	Proceedings of the 14th International Conference on Software Technologies (ICSOFT), 2019 Prague, Czech Republic, 26 - 28 July, 2019
Publisher :	SCITEPRESS
Pages :	468-474
Peer reviewed :	Yes
On invitation :	No
Audience :	International
ISBN :	978-989-758-379-7
Event name :	14th International Conference on Software Technologies (ICSOFT), 2019 Prague, Czech Republic, 26 - 28 July, 2019
Event date :	26 - 28 July, 2019
Event organizer :	INSTICC
Event place (city) :	Prague
Event country :	Czech Republic
Keywords :	[en] Decision Support System ; System Software ; Proactive Systems ; Robotics ; Proactive computing
Abstract :	[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.
Permalink :	http://hdl.handle.net/10993/40433
DOI :	10.5220/0007835504680474
Other URL :	https://doi.org/10.5220/0007835504680474

	File(s) associated to this reference
	Fulltext file(s): File Commentary Version Size Access Open access ProactiveModelforHandlingConflictsinSensorDataFusionAppliedtoRoboticSystems.pdf Author postprint 135.99 kB View/Open Additional material(s): File Commentary Size Access Open access ICSOFT2019Poster.pdf Poster 1.5 MB View/Open

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