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
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
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
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Conference papers
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https://hal.univ-brest.fr/hal-01306909
Contributor : Catherine Dezan <>
Submitted on : Monday, April 25, 2016 - 6:12:49 PM
Last modification on : Monday, February 25, 2019 - 3:14:12 PM

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  • HAL Id : hal-01306909, version 1

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Sara Zermani, Catherine Dezan, Chabha Hireche, Reinhardt Euler, Jean-Philippe Diguet. Embedded and Probabilistic Health Management for the GPS of Autonomous Vehicles. 5th Mediterranean Conference on Embedded Computing, Jun 2016, Bar, Montenegro. ⟨hal-01306909⟩

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