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  "Description": "Implements the framework presented in Cucci, D. A.,\nVoirol, L., Khaghani, M. and Guerrier, S. (2023)\n<doi:10.1109/TIM.2023.3267360> which allows to analyze the\nimpact of sensor error modeling on the performance of\nintegrated navigation (sensor fusion) based on inertial\nmeasurement unit (IMU), Global Positioning System (GPS), and\nbarometer data. The framework relies on Monte Carlo simulations\nin which a Vanilla Extended Kalman filter is coupled with\nrealistic and user-configurable noise generation mechanisms to\nrecover a reference trajectory from noisy measurements. The\nevaluation of several statistical metrics of the solution,\naggregated over hundreds of simulated realizations, provides\nreasonable estimates of the expected performances of the system\nin real-world conditions.",
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      "page": "example_1_traj_ellipsoidal",
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