Xavier Olive

Research Scientist

Department for Information Processing and Systems
ONERA – Centre de Toulouse
2 avenue Édouard Belin
31055 Toulouse – France

Mail: first_name.last_name@onera.fr

PGP: A6B9B1CD

Research interests

Dr Xavier Olive is a Research Scientist at ONERA, The French Aerospace Lab. His main interests include Data Science, Machine Learning and Decision Science applied to aviation, with a particular focus on optimisation, anomaly and pattern detection. Applications range from air traffic management, operations, predictive maintenance, safety analyses and risk assessment.

He is also passionate about aircraft, data visualisation, geographic information systems and programming languages.

Recent news

Teaching activities

  • Optimisation for Artificial Intelligence
  • Data Science, Machine Learning
  • Algorithms and Programming
  • Advanced Python for Scientists

Selected publications

2021

Junzi Sun, Xavier Olive, Martin Strohmeier, Matthias Schäfer, Ivan Martinovic and Vincent Lenders. OpenSky Report 2021: Insights on ADS-B Mandate and Fleet Deployment in Times of Crisis. Proceedings of the 40th Digital Avionics Systems Conference (DASC), 2021.

Xavier Olive, Junzi Sun, Mayara Condé Rocha Murça and Timothé Krauth. A Framework to Evaluate Aircraft Trajectory Generation Methods. Proceedings of the 14th USA/Europe Air Traffic Management Research and Development Seminar, 2021

Sana Ikli, Catherine Mancel, Marcel Mongeau, Xavier Olive and Emmanuel Rachelson. The aircraft runway scheduling problem: A survey. Computers & Operations Research, 2021, 105336;
https://doi.org/10.1016/j.cor.2021.105336

Luis Basora, Paloma Bry, Xavier Olive and Floris Freeman. Aircraft Fleet Health Monitoring with Anomaly Detection Techniques. Aerospace, 8(4), 2021, 103;
https://doi.org/10.3390/aerospace8040103

Martin Strohmeier, Xavier Olive, Jannis Lübbe, Matthias Schäfer and Vincent Lenders. Crowdsourced Air Traffic Data from the OpenSky Network 2019–20, Earth System Science Data, 13, 357–366, 2021
https://doi.org/10.5194/essd-13-357-2021

2020

Xavier Olive, Junzi Sun, Adrien Lafage and Luis Basora. Detecting Events in Aircraft Trajectories: Rule-based and Data-driven Approaches. Proceedings of the 8th OpenSky Symposium, 2020
https://doi.org/10.3390/proceedings2020059008

Junzi Sun, Huy Vû, Xavier Olive and Jacco Hoekstra. Mode S Transponder Comm-B Capabilities in Current Operational Aircraft. Proceedings of the 8th OpenSky Symposium, 2020
https://doi.org/10.3390/proceedings2020059005

Xavier Olive and Luis Basora. Detection and identification of significant events in historical aircraft trajectory data. Transportation Research Part C: Emerging Technologies 119, 2020, 10237.
https://doi.org/10.1016/j.trc.2020.102737

Xavier Olive, Axel Tanner, Martin Strohmeier, Matthias Schäfer, Metin Feridun, Allan Tart, Ivan Martinovic and Vincent Lenders. OpenSky Report 2020: Analysing in-flight emergencies using big data. Proceedings of the 39th Digital Avionics Systems Conference (DASC), 2020 (Best of Track paper award)

Xavier Olive and Junzi Sun. Detecting and Measuring Turbulence from Mode S Surveillance Downlink Data. Proceedings of the 9th International Conference on Research in Air Transportation, 2020

Xavier Olive, Luis Basora, Benoît Viry and Richard Alligier. Deep Trajectory Clustering with Autoencoders. Proceedings of the 9th International Conference on Research in Air Transportation, 2020

Sana Ikli, Catherine Mancel, Marcel Mongeau, Xavier Olive and Emmanuel Rachelson. Coupling Mathematical Optimization and Machine Learning for the Aircraft Landing Problem. Proceedings of the 9th International Conference on Research in Air Transportation, 2020

Michael Schultz, Xavier Olive, Judith Rosenow, Hartmut Fricke, Sameer Alam. Analysis of airport ground operations based on ADS-B data. Proceedings of the 1st International Conference on Artificial Intelligence and Data Analytics in Air Transportation (AIDA-AT), Singapore, 2020;
https://ieeexplore.ieee.org/document/9049212

2019

Michael Schultz, Judith Rosenow and Xavier Olive. A-CDM Lite: situation awareness and decision making for small airports based on ADS-B data. Proceedings of the 9th SESAR Innovation Days, 2019

Luis Basora, Xavier Olive and Thomas Dubot. Recent Advances in Anomaly Detection Methods Applied to Aviation. Aerospace, 6(11), 2019, 117;
https://doi.org/10.3390/aerospace6110117

Xavier Olive and Luis Basora. Air Traffic Data Processing using Python: Trajectory Clustering. Proceedings of the 7th OpenSky Workshop, 2019.
https://doi.org/10.29007/sf1f

Matthias Schäfer, Xavier Olive, Martin Strohmeier, Matthew Smith, Ivan Martinovic, Vincent Lenders. OpenSky Report 2019: Analysing TCAS in the Real World using Big Data. Proceedings of the 38th Digital Avionics Systems Conference (DASC), 2019

Sana Ikli, Catherine Mancel, Marcel Mongeau, Xavier Olive and Emmanuel Rachelson. An Optimistic Planning Approach for the Aircraft Landing Problem. Proceedings of ENRI International Workshop on ATM/CNS, 2019


Xavier Olive and Luis Basora. Identifying Anomalies in past en-route Trajectories with Clustering and Anomaly Detection Methods. Proceedings of the 13th USA/Europe Air Traffic Management Research and Development Seminar, 2019

Xavier Olive and Jérôme Morio. Trajectory clustering of air traffic flows around airports. Aerospace Science and Technology, 2019.
https://doi.org/10.1016/j.ast.2018.11.031

2018

Xavier Olive, Jeremy Grignard, Thomas Dubot and Julie Saint-Lot. Detecting Controllers' Actions in Past Mode S Data by Autoencoder-Based Anomaly Detection. Proceedings of the 8th SESAR Innovation Days, 2018

Xavier Olive and Pierre Bieber. Quantitative Assessments of Runway Excursion Precursors using Mode S Data. Proceedings of the 8th International Conference on Research in Air Transportation, 2018 (Best paper award)

2016

Nicolas Bérend and Xavier Olive. Bi-objective optimization of a multiple-target active debris removal mission. Acta Astronautica, 122:324–335, 2016.
https://doi.org/10.1016/j.actaastro.2016.02.005

2011

Xavier Olive and Hiroshi Nakashima. Efficient Representation of Constraints and Propagation of Variable–Value Symmetries in Distributed Constraint Reasoning. Journal of Information Processing, 19:201–210, 2011.
https://doi.org/10.2197/ipsjjip.19.201