Project AeroSense: Active On-Board Data Sampling to Derive Environmental Detection Models for Micro-Meteorological Anomaly Encounters
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| Veröffentlicht in: | AIAA SciTech Forum and Exposition (2022 : San Diego, Calif.; Online) Digital avionics |
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| Sprache: | eng |
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2022
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| Project AeroSense: Active On-Board Data Sampling to Derive Environmental Detection Models for Micro-Meteorological Anomaly Encounters | 2022 | Vettel, Jan |
| Modeling of Aircraft Routes Under Severe Weather Conditions | 2022 | Nakamura, Yoichi |