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Analyze the Impact of Sensor Error Modelling on Navigation Performance

v0.0.1 · May 16, 2023 · AGPL-3

Description

Implements the framework presented in Cucci, D. A., Voirol, L., Khaghani, M. and Guerrier, S. (2023) <doi: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.

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NOTE r-oldrel-macos-x86_64

installed package size

  installed size is 14.0Mb
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    data   2.1Mb
    doc    6.5Mb
    libs   4.8Mb
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installed package size

  installed size is  9.6Mb
  sub-directories of 1Mb or more:
    data   1.5Mb
    doc    6.5Mb
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NOTE 11 OK · 3 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 9, 2026
NOTE r-oldrel-macos-arm64

installed package size

  installed size is 13.9Mb
  sub-directories of 1Mb or more:
    data   2.1Mb
    doc    6.5Mb
    libs   4.8Mb
NOTE r-oldrel-macos-x86_64

installed package size

  installed size is 14.0Mb
  sub-directories of 1Mb or more:
    data   2.1Mb
    doc    6.5Mb
    libs   4.8Mb
NOTE r-oldrel-windows-x86_64

installed package size

  installed size is  9.6Mb
  sub-directories of 1Mb or more:
    data   1.5Mb
    doc    6.5Mb
    libs   1.2Mb

Dependency Network

Dependencies Reverse dependencies plotly magrittr simts expm rbenchmark leaflet MASS pbmcapply Rcpp RcppArmadillo navigation

Version History

new 0.0.1 Mar 9, 2026