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Xavier Olive

24
Documents
Researcher identifiers

Presentation

Xavier Olive, PhD, is a research scientist passionate about aviation, maps and data. His research 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 currently a Research Fellow with [ONERA, The French Aerospace Lab](https://www.onera.fr/en/staff/xavier-olive). You may find more details on <https://www.xoolive.org>.

Publications

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Deep generative modelling of aircraft trajectories in terminal maneuvering areas

Timothé Krauth , Adrien Lafage , Jérôme Morio , Xavier Olive , Manuel Waltert
Machine Learning with Applications, 2023, 11, pp.100446. ⟨10.1016/j.mlwa.2022.100446⟩
Journal articles hal-04011881v1

Data-driven airport management enabled by operational milestones derived from ADS-B messages

Michael Schultz , Judith Rosenow , Xavier Olive
Journal of Air Transport Management, 2022, 99, pp.102164. ⟨10.1016/j.jairtraman.2021.102164⟩
Journal articles hal-03633063v1
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Dual-Horizon Reciprocal Collision Avoidance for Aircraft and Unmanned Aerial Systems

Richard Alligier , David Gianazza , Nicolas Durand , Xavier Olive
Journal of Intelligent and Robotic Systems, 2022, 107 (1), ⟨10.1007/s10846-022-01782-2⟩
Journal articles hal-03948501v1
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Aircraft Fleet Health Monitoring with Anomaly Detection Techniques

Luis Basora , Paloma Bry , Xavier Olive , Floris Freeman
Aerospace, 2021, 8 (4), pp.103. ⟨10.3390/aerospace8040103⟩
Journal articles hal-03196104v1
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The aircraft runway scheduling problem: A survey

Sana Ikli , Catherine Mancel , Marcel Mongeau , Xavier Olive , Emmanuel Rachelson
Computers and Operations Research, 2021, Volume 132, August 2021, pp.105336. ⟨10.1016/j.cor.2021.105336⟩
Journal articles hal-03204701v1
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Detection and identification of significant events in historical aircraft trajectory data

Xavier Olive , Luis Basora
Transportation research. Part C, Emerging technologies, 2020, 119, pp.102737. ⟨10.1016/j.trc.2020.102737⟩
Journal articles hal-02972531v1
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Traffic, a toolbox for processing and analysing air traffic data

Xavier Olive
Journal of Open Source Software, 2019, 4 (39), pp.1518, 1-3. ⟨10.21105/joss.01518⟩
Journal articles hal-02294354v1
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Recent Advances in Anomaly Detection Methods Applied to Aviation

Luis Basora , Xavier Olive , Thomas Dubot
Aerospace, 2019, 6 (117), pp.1-27. ⟨10.3390/aerospace6110117⟩
Journal articles hal-02470453v1
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Trajectory clustering of air traffic flows around airports

Xavier Olive , Jérôme Morio
Aerospace Science and Technology, 2018, 84, pp.776-781. ⟨10.1016/j.ast.2018.11.031⟩
Journal articles hal-02350789v1
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Quantitative air risk assessment for a drone inspection mission along fast train lines

Xavier Olive , Patrick Le Blaye , Leonid Sedov , Timothé Krauth
Air Traffic Management Research and Development Seminar (ATM) 2023, Jun 2023, SAVANNAH, United States
Conference papers hal-04131557v1
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Evading the Public Eye: On Astroturfing in Open Aviation Data

Martin Strohmeier , Xavier Olive , Junzi Sun
OpenSky 2022, Nov 2022, Delft, Netherlands. pp.7, ⟨10.3390/engproc2022028007⟩
Conference papers hal-03920527v1
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Evaluating Aviation Emission Inefficiencies and Reduction Challenges with Electric Flights Based on an analysis of flights from 2019 in the Dutch and French airspaces

Junzi Sun , Xavier Olive , Daniel Delahaye
SESAR Innovation Days, Dec 2022, Budapest, Hungary
Conference papers hal-03907359v1
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A Quantitative Approach to Air Traffic Safety at Very Low Levels

Xavier Olive , Patrick Le Blaye
OpenSky 2022, Nov 2022, Delft, Netherlands. pp.1, ⟨10.3390/engproc2022028001⟩
Conference papers hal-03920417v1
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OpenSky Report 2021: Insights on ADS-B Mandate and Fleet Deployment in Times of Crisis

Junzi Sun , Xavier Olive , Martin Strohmeier , Matthias Schafer , Ivan Martinovic
2021 IEEE/AIAA 40th Digital Avionics Systems Conference (DASC), Oct 2021, San Antonio, United States. pp.1-10, ⟨10.1109/DASC52595.2021.9594361⟩
Conference papers hal-03561964v1
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Analysis of airport ground operations based on ADS-B data

Michael Schultz , Xavier Olive , Judith Rosenow , Hartmut Fricke , Sameer Alam
2020 International Conference on Artificial Intelligence and Data Analytics for Air Transportation (AIDA-AT), Feb 2020, Singapour, Singapore. pp.1-9, ⟨10.1109/AIDA-AT48540.2020.9049212⟩
Conference papers hal-03182721v1
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Deep Trajectory Clustering with Autoencoders

Xavier Olive , Luis Basora , Benoit Viry , Richard Alligier
ICRAT 2020, 9th International Conference for Research in Air Transportation, Sep 2020, Tampa, United States
Conference papers hal-02916241v1
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Coupling Mathematical Optimization and Machine Learning for the Aircraft Landing Problem

Sana Ikli , Catherine Mancel , Marcel Mongeau , Xavier Olive , Emmanuel Rachelson
ICRAT 2020, 9th International Conference for Research in Air Transportation, Jun 2020, Tampa, United States
Conference papers hal-02873423v1
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A Python Toolbox for Processing Air Traffic Data: A Use Case with Trajectory Clustering

Xavier Olive , Luis Basora
7th OpenSky Workshop 2019, Nov 2019, Zurich, Switzerland. pp.73-60, ⟨10.29007/sf1f⟩
Conference papers hal-02650267v1
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Approche de programmation mixte en nombres entiers pour le séquencement d’avions en atterrissage - cas statique

Sana Ikli , Catherine Mancel , Marcel Mongeau , Xavier Olive , Emmanuel Rachelson
ROADEF 2019, 20ème congrès annuel de la société Française de Recherche Opérationnelle et d’Aide à la Décision, Feb 2019, Le Havre, France
Conference papers hal-02050005v1
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Identifying Anomalies in past en-route Trajectories with Clustering and Anomaly Detection Methods

Xavier Olive , Luis Basora
ATM Seminar 2019, Jun 2019, VIENNE, Austria
Conference papers hal-02345597v1
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A-CDM Lite: Situation Awareness and Decision- making for Small Airports based on ADS-B Data

Michael Schultz , Judith Rosenow , Xavier Olive
9th SESAR Innovation Days: Inspiring Long-Term Research in the Field of Air Traffic Management, SIDs 2019, Dec 2019, Athènes, Greece
Conference papers hal-02623883v1
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An Optimistic Planning Approach for the Aircraft Landing Problem

Sana Ikli , Catherine Mancel , Marcel Mongeau , Xavier Olive , Emmanuel Rachelson
EIWAC 2019:, 6th ENRI International Workshop on ATM/CNS, ENRI, Oct 2019, Tokyo, Japan. pp 173-188, ⟨10.1007/978-981-33-4669-7_10⟩
Conference papers hal-02382692v1
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Detecting Controllers' Actions in Past Mode S Data by Autoencoder-Based Anomaly Detection

Xavier Olive , Jeremy Grignard , Thomas Dubot , Julie Saint-Lot
SID 2018, 8th SESAR Innovation Days, Dec 2018, Salzburg, Austria
Conference papers hal-02338690v1
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Quantitative Assessments of Runway Excursion Precursors using Mode S data

Xavier Olive , Pierre Bieber
ICRAT - International Conference for Research in Air Transportation, Jun 2018, Castelldefels, Spain
Conference papers hal-02078299v1