Embedded and Probabilistic Health Management for the GPS of Autonomous Vehicles

Sara Zermani; Catherine Dezan; Chabha Hireche; Reinhardt Euler; Jean-Philippe Diguet

Embedded and Probabilistic Health Management for the GPS of Autonomous Vehicles

Sara Zermani ¹ Catherine Dezan ¹ Chabha Hireche ¹ Reinhardt Euler ¹ Jean-Philippe Diguet ²

Lab-STICC - Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance, UBO - Université de Brest

2 Lab-STICC_UBS_CACS_MOCS

Lab-STICC - Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance

Abstract : The aim of this paper is to propose a complementary Health Management module to monitor the GPS accuracy for autonomous vehicles. Based on sensor information, the error causes of GPS can be observed in some specific contexts (urban, climate...). The proposed module relies on a Bayesian Network model that allows to reinforce the belief of GPS failure based on evidence. A hardware/software implementation of the Health Management module is also proposed for real-time and on-line purposes on an embedded platform

Keywords : FPGA Hardware/Software implementation Bayesian Network Health Management Global Positioning System

Type de document :

Communication dans un congrès

5th Mediterranean Conference on Embedded Computing, Jun 2016, Bar, Montenegro

Domaine :

Informatique [cs] / Systèmes embarqués

Informatique [cs] / Performance et fiabilité [cs.PF]

Liste complète des métadonnées

https://hal.univ-brest.fr/hal-01306909
Contributeur : Catherine Dezan <>
Soumis le : lundi 25 avril 2016 - 18:12:49
Dernière modification le : jeudi 29 novembre 2018 - 16:52:02

Embedded and Probabilistic Health Management for the GPS of Autonomous Vehicles

Identifiants

Collections

Citation

Exporter

Métriques

1742

Contact

Embedded and Probabilistic Health Management for the GPS of Autonomous Vehicles

Identifiants

Collections

Citation

Exporter

Partager

Métriques

1742

Contact