Embedded and Probabilistic Health Management for the GPS of Autonomous Vehicles - Université de Bretagne Occidentale Access content directly
Conference Papers Year : 2016

Embedded and Probabilistic Health Management for the GPS of Autonomous Vehicles

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

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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Dates and versions

hal-01306909 , version 1 (25-04-2016)

Identifiers

  • HAL Id : hal-01306909 , version 1

Cite

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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