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Shumpei Kamo
Shumpei Kamo
在 tu-dresden.de 的电子邮件经过验证
标题
引用次数
引用次数
年份
Robust CDO Trajectory Planning under Uncertainties in Weather Prediction
S Kamo, J Rosenow, H Fricke, M Soler
14th USA/Europe Air Traffic Management Research and Development Seminar, 2021
112021
Fundamental framework to plan 4D robust descent trajectories for uncertainties in weather prediction
S Kamo, J Rosenow, H Fricke, M Soler
Aerospace 9 (2), 109, 2022
72022
CDO sensitivity analysis for robust trajectory planning under uncertain weather prediction
S Kamo, J Rosenow, H Fricke
2020 AIAA/IEEE 39th Digital Avionics Systems Conference (DASC), 1-10, 2020
72020
Robust optimization integrating aircraft trajectory and sequence under weather forecast uncertainty
S Kamo, J Rosenow, H Fricke, M Soler
Transportation Research Part C: Emerging Technologies 152, 104187, 2023
52023
Aircraft-type-specific impact of speed brakes on lift and drag
J Rosenow, T Sachwitz, S Kamo, G Chen, H Fricke
Aerospace 9 (5), 263, 2022
42022
Nonlinear dynamics approach for modeling of air traffic disruption and recovery
N Fürstenau, M Mittendorf, S Kamo
7th Intern. Conf. on Research in AIr Transportation (2016), 2016
32016
Development of Control Advisory System Using Future Wind Information
S Kamo, JO Entzinger, T Uemura, S Suzuki
The 2016 Asia-Pacific International Symposium on Aerospace Technology …, 2016
22016
Objective evaluation of hand-flying skills and styles in the final approach
JO Entzinger, S Kamo, T Uemura, S Suzuki
The 2015 Asia Pacific International Symposium on Aerospace Technology …, 2015
22015
Nonlinear Dynamics Approach for Modeling of Air Traffic Performance Disruption and Recovery
N Fürstenau, M Mittendorf, S Kamo
7th International Conference on Research in Air Transportation (ICRAT 2016), 2016
12016
Fundamental Framework to Plan 4D Robust Descent Trajectories for Uncertainties in Weather Prediction. Aerospace 2022, 9, 109
S Kamo, J Rosenow, H Fricke, M Soler
s Note: MDPI stays neutral with regard to jurisdictional claims in published …, 2022
2022
Trajectories for Uncertainties in Weather Prediction
S Kamo, J Rosenow, H Fricke, M Soler
2022
Resilience Modeling for Quantifying Air-Traffic Disruption and Recovery under strong Storm
S Kamo, M Fürstenau, M Mittendorf
German Aerospace Center, 2016
2016
将来の風速情報を考慮した航空機操縦支援システムの研究開発
加茂舜平, 上村常治, 鈴木真二
交通・物流部門大会講演論文集 2016.25, 1201, 2016
2016
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