HAL Id: hal-02388307
https://hal-enac.archives-ouvertes.fr/hal-02388307v2
Submitted on 15 Dec 2019
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L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignement et de recherche français ou étrangers, des laboratoires publics ou privés.
Data-driven Conflict Detection Enhancement in Closest Point of Approach Problem
Zhengyi Wang, Man Liang, Daniel Delahaye
To cite this version:
Zhengyi Wang, Man Liang, Daniel Delahaye. Data-driven Conflict Detection Enhancement in Closest Point of Approach Problem. SID 2019, 9th SESAR Innovation Days, Dec 2019, Athenes, Greece.
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2 – 6 December 2019 Athens, Greece
9
thSESAR Innovation Days
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