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

Gilles Neyens, Denis Zampunieris

Abstract

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.

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Paper Citation


in Harvard Style

Neyens G. and Zampunieris D. (2019). Proactive Model for Handling Conflicts in Sensor Data Fusion Applied to Robotic Systems.In Proceedings of the 14th International Conference on Software Technologies - Volume 1: ICSOFT, ISBN 978-989-758-379-7, pages 468-474. DOI: 10.5220/0007835504680474


in Bibtex Style

@conference{icsoft19,
author={Gilles Neyens and Denis Zampunieris},
title={Proactive Model for Handling Conflicts in Sensor Data Fusion Applied to Robotic Systems},
booktitle={Proceedings of the 14th International Conference on Software Technologies - Volume 1: ICSOFT,},
year={2019},
pages={468-474},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007835504680474},
isbn={978-989-758-379-7},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 14th International Conference on Software Technologies - Volume 1: ICSOFT,
TI - Proactive Model for Handling Conflicts in Sensor Data Fusion Applied to Robotic Systems
SN - 978-989-758-379-7
AU - Neyens G.
AU - Zampunieris D.
PY - 2019
SP - 468
EP - 474
DO - 10.5220/0007835504680474