Xavier Olive
Xavier Olive
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Cited by
Cited by
Recent advances in anomaly detection methods applied to aviation
L Basora, X Olive, T Dubot
Aerospace 6 (11), 117, 2019
Trajectory clustering of air traffic flows around airports
X Olive, J Morio
Aerospace Science and Technology 84, 776-781, 2019
Traffic, a toolbox for processing and analysing air traffic data
X Olive
Journal of Open Source Software 4 (39), 1518, 1-3, 2019
Bi-objective optimization of a multiple-target active debris removal mission
N Bérend, X Olive
Acta Astronautica 122, 324-335, 2016
The aircraft runway scheduling problem: A survey
S Ikli, C Mancel, M Mongeau, X Olive, E Rachelson
Computers & Operations Research 132, 105336, 2021
Crowdsourced air traffic data from the OpenSky Network 2019–2020
M Strohmeier, X Olive, J Lübbe, M Schäfer, V Lenders
Earth System Science Data 13 (2), 357-366, 2021
Deep trajectory clustering with autoencoders
X Olive, L Basora, B Viry, R Alligier
ICRAT 2020, 9th International Conference for Research in Air Transportation, 2020
Detection and identification of significant events in historical aircraft trajectory data
X Olive, L Basora
Transportation Research Part C: Emerging Technologies 119, 102737, 2020
Detecting controllers' actions in past mode S data by autoencoder-based anomaly detection
X Olive, J Grignard, T Dubot, J Saint-Lot
SID 2018, 8th SESAR Innovation Days, 2018
Identifying anomalies in past en-route trajectories with clustering and anomaly detection methods
X Olive, L Basora
ATM Seminar 2019, 2019
Aircraft fleet health monitoring with anomaly detection techniques
L Basora, P Bry, X Olive, F Freeman
Aerospace 8 (4), 103, 2021
Data-driven airport management enabled by operational milestones derived from ADS-B messages
M Schultz, J Rosenow, X Olive
Journal of Air Transport Management 99, 102164, 2022
Quantitative assessments of runway excursion precursors using Mode S data
X Olive, P Bieber
arXiv preprint arXiv:1903.11964, 2019
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
Analysis of airport ground operations based on ADS-B data
M Schultz, X Olive, J Rosenow, H Fricke, S Alam
2020 International Conference on Artificial Intelligence and Data Analytics …, 2020
OpenSky report 2019: Analysing TCAS in the real world using big data
M Schäfer, X Olive, M Strohmeier, M Smith, I Martinovic, V Lenders
2019 IEEE/AIAA 38th Digital Avionics Systems Conference (DASC), 1-9, 2019
A python toolbox for processing air traffic data: A use case with trajectory clustering
X Olive, L Basora
7th OpenSky Workshop 2019, 73-60, 2019
Detecting events in aircraft trajectories: rule-based and data-driven approaches
X Olive, J Sun, A Lafage, L Basora
Proceedings 59 (1), 8, 2020
Opensky report 2022: Evaluating aviation emissions using crowdsourced open flight data
J Sun, L Basora, X Olive, M Strohmeier, M Schäfer, I Martinovic, ...
2022 IEEE/AIAA 41st Digital Avionics Systems Conference (DASC), 1-8, 2022
Crowdsourced air traffic data from The OpenSky Network 2020 [CC-BY]
X Olive, M Strohmeier, J Lübbe
Zenodo, 2022
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