Nothing
navigation: Analyze the Impact of Sensor Error Modelling on Navigation Performance
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.
Getting started
Browse package contents
Package details |
|
|---|---|
| Author | Davide A. Cucci [aut], Lionel Voirol [aut, cre], Mehran Khaghani [aut], Stéphane Guerrier [aut] |
| Maintainer | Lionel Voirol <lionelvoirol@hotmail.com> |
| License | AGPL-3 |
| Version | 0.0.1 |
| URL | https://github.com/SMAC-Group/navigation |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
|
Try the navigation package in your browser
Any scripts or data that you put into this service are public.
