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Hannes Braßel
Hannes Braßel
在 tu-dresden.de 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
A-CDM Lite: Situation awareness and decision-making for small airports based on ADS-B data
M Schultz, J Rosenow, X Olive
9th SESAR Innovation Days: Inspiring Long-Term Research in the Field of Air …, 2019
242019
Aircraft performance-optimized departure flights using traffic flow funnels
M Lindner, T Zeh, H Braßel, H Fricke
Proceedings of the Fourteenth USA/Europe Air Traffic Management Research and …, 2021
52021
Traffic flow funnels based on aircraft performance for optimized departure procedures
M Lindner, T Zeh, H Braßel, J Rosenow, H Fricke
Future Transportation 2 (3), 711-733, 2022
42022
3D Modeling of the airport environment for fast and accurate LiDAR semantic segmentation of apron operations
H Brassel, A Zouhar, H Fricke
2020 AIAA/IEEE 39th Digital Avionics Systems Conference (DASC), 1-10, 2020
32020
Validating LiDAR Sensor Surveillance Technology versus Conventional Out-the-window View for Safety-critical Airport Operations
H Brassel, A Zouhar, H Fricke
Proceedings of the 9th SESAR Innovation Days, 2019
32019
ConOps for the Tactical Guidance of RPAS by ATC
M Finke, M Uebbing-Rumke, P Sinapius, H Braßel, JN Okuniek, ...
22016
Optimal UAV hangar locations for emergency services considering restricted areas
H Braßel, T Zeh, H Fricke, A Eltner
Drones 7 (3), 203, 2023
12023
Fast and Robust Optimization of Unmanned Aerial Vehicle Locations Considering Restricted Areas
H Braßel, T Zeh, H Fricke
Deutsche Gesellschaft für Luft-und Raumfahrt-Lilienthal-Oberth eV, 2023
2023
Functional Failure Analysis Regarding Airworthiness, Airspace Integration and Air Traffic Control for Remotely Piloted Aircraft Systems (RPAS) Sustaining a Partial Loss of …
H Braßel
2016
Adaptive point sampling for LiDAR-based detection and tracking of fast-moving vehicles using a virtual airport environment
H Braßel, A Zouhar, H Fricke
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