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cff-version: 1.2.0
message: 'To cite package "navigation" in publications use:'
type: software
license: AGPL-3.0-only
title: 'navigation: Analyze the Impact of Sensor Error Modelling on Navigation Performance'
version: 0.0.1
doi: 10.32614/CRAN.package.navigation
abstract: Implements the framework presented in Cucci, D. A., Voirol, L., Khaghani,
  M. and Guerrier, S. (2023) <https://doi.org/10.1109/TIM.2023.3267360> which allows
  to analyze the impact of sensor error modeling on the performance of integrated
  navigation (sensor fusion) based on inertial measurement unit (IMU), Global Positioning
  System (GPS), and barometer data. The framework relies on Monte Carlo simulations
  in which a Vanilla Extended Kalman filter is coupled with realistic and user-configurable
  noise generation mechanisms to recover a reference trajectory from noisy measurements.
  The evaluation of several statistical metrics of the solution, aggregated over hundreds
  of simulated realizations, provides reasonable estimates of the expected performances
  of the system in real-world conditions.
authors:
- family-names: Cucci
  given-names: Davide A.
  email: Davide.Cucci@unige.ch
- family-names: Voirol
  given-names: Lionel
  email: lionelvoirol@hotmail.com
- family-names: Khaghani
  given-names: Mehran
- family-names: Guerrier
  given-names: Stéphane
  email: Stephane.Guerrier@unige.ch
repository: https://cranhaven.r-universe.dev
repository-code: https://github.com/SMAC-Group/navigation
commit: 747ad0139deefd90a4234d1227b434266b27b90c
url: https://github.com/SMAC-Group/navigation
date-released: '2026-06-11'
contact:
- family-names: Voirol
  given-names: Lionel
  email: lionelvoirol@hotmail.com