Embedded Decision Making for UAV Missions

Sara Zermani 1 Catherine Dezan 1 Reinhardt Euler 1
1 Lab-STICC_UBO_CACS_MOCS
Lab-STICC - Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance, UBO - Université de Brest
Abstract : The aim of this paper is to propose an embedded Decision Making module for autonomous Unmanned Aerial Vehicle (UAV, commonly known as drone) missions, based on Influence Diagrams. The module allows the choice of the adequate recovery action in the case of failure scenarios. We jointly show the application of this approach to a real drone mission. We also propose embedded hardware and software implementations for adaptive, online and real-time Decision Making, which are demonstrated on a Hybrid CPU/FPGA Zynq platform
Type de document :
Communication dans un congrès
6th Mediterranean Conference on Embedded Computing (MECO), Jun 2017, Bar, Montenegro
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https://hal.archives-ouvertes.fr/hal-01528309
Contributeur : Catherine Dezan <>
Soumis le : dimanche 28 mai 2017 - 23:24:01
Dernière modification le : jeudi 29 novembre 2018 - 16:52:02

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  • HAL Id : hal-01528309, version 1

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Sara Zermani, Catherine Dezan, Reinhardt Euler. Embedded Decision Making for UAV Missions. 6th Mediterranean Conference on Embedded Computing (MECO), Jun 2017, Bar, Montenegro. 〈hal-01528309〉

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