CopyKrauth, T., Morio, J., Olive, X., & Figuet, B. (2024). Advanced Collision Risk Estimation in Terminal Manoeuvring Areas Using a Disentangled Variational Autoencoder for Uncertainty Quantification. Engineering Applications of Artificial Intelligence, 133, 108137. https://doi.org/10.1016/j.engappai.2024.108137
CopyGaume, K., Olive, X., Gianazza, D., Alligier, R., & Durand, N. (2023, October). A Catalogue of Deconfliction Actions Extracted from Historical ADS-B Data. Proceedings of the 11th OpenSky Symposium. https://doi.org/10.59490/joas.2023.7222
CopyOlive, X., Sun, J., Strohmeier, M., & Tresoldi, G. (2023, October). OpenSky Report 2023: Low Altitude Traffic Awareness for Light Aircraft with FLARM. Proceedings of the 42th IEEE/AIAA Digital Avionics Systems Conference (DASC). https://doi.org/10.1109/DASC58513.2023.10311202
CopyChevrot, A., & Olive, X. (2023). Impunity: Enforcing Physical Unit Consistency at Definition Time in Python. Journal of Open Aviation Science, 1. https://doi.org/10.59490/joas.2023.7071
Collision Risk Assessment in Terminal Manoeuvring Areas Based on Trajectory Generation Methods
Proceedings of the 15th USA/Europe Air Traffic Management Research and Development Seminar, 2023
CopyKrauth, T., Figuet, B., Olive, X., & Morio, J. (2023, June). Collision Risk Assessment in Terminal Manoeuvring Areas Based on Trajectory Generation Methods. Proceedings of the 15th USA/Europe Air Traffic Management Research and Development Seminar. https://drive.google.com/file/d/1_p29ozJS46VO8VtRo2JxWoTta6UmC4vw/view?usp=sharing
Xavier Olive,
Patrick Le Blaye,
Leonid Sedov,
and Timothé Krauth
Quantitative Air Risk Assessment for a Drone Inspection Mission along Fast-Train Lines
Proceedings of the 15th USA/Europe Air Traffic Management Research and Development Seminar, 2023
CopyOlive, X., Le Blaye, P., Sedov, L., & Krauth, T. (2023, June). Quantitative Air Risk Assessment for a Drone Inspection Mission along Fast-Train Lines. Proceedings of the 15th USA/Europe Air Traffic Management Research and Development Seminar. https://drive.google.com/file/d/14ofMEuL0c49uKfu2JT3-IWcYyonkACNl/view?usp=sharing
CopyBasora, L., Viens, A., Chao, M. A., & Olive, X. (2023). A Benchmark on Uncertainty Quantification for Deep Learning Prognostics. https://doi.org/10.48550/arxiv.2302.04730
CopyFelux, M., Figuet, B., Waltert, M., Fol, P., Strohmeier, M., & Olive, X. (2023). Analysis of GNSS Disruptions in European Airspace. Proceedings of the 2023 International Technical Meeting of The Institute of Navigation, 315–326. https://doi.org/10.33012/2023.18626
CopyFiguet, B., Waltert, M., Felux, M., & Olive, X. (2022, December). GNSS Jamming and Its Effect on Air Traffic in Eastern Europe. Proceedings of the 10th OpenSky Symposium. https://doi.org/10.3390/engproc2022028012
CopyKrauth, T., Lafage, A., Morio, J., Olive, X., & Waltert, M. (2022). Deep Generative Modelling of Aircraft Trajectories in Terminal Maneuvering Areas. Machine Learning with Applications, 11, 100446. https://doi.org/10.1016/j.mlwa.2022.100446
CopySun, J., Olive, X., & Strohmeier, M. (2022, December). Environmental Footprint of Private and Business Jets. Proceedings of the 10th OpenSky Symposium. https://doi.org/10.3390/engproc2022028013
Evaluating Aviation Emission Inefficiencies and Reduction Challenges with Electric Flights
Proceedings of the 12th SESAR Innovation Days, 2022
CopySun, J., Olive, X., & Delahaye, D. (2022, December). Evaluating Aviation Emission Inefficiencies and Reduction Challenges with Electric Flights. Proceedings of the 12th SESAR Innovation Days. https://whova.com/xems/whova_backend/get_event_s3_file_api/?event_id=sesar_202212&file_url=https://d1keuthy5s86c8.cloudfront.net/static/ems/upload/files/1669996947_qhlsf_SIDs_2022_paper_106_final.pdf&eventkey=4c68ac23dcb73ce4b5be87ca1b5b0ccaed6016dfcefe0c4b6af300caca061224
CopyOlive, X., & Le Blaye, P. (2022, November). A Quantitative Approach to Air Traffic Safety at Very Low Levels. Proceedings of the 10th OpenSky Symposium. https://doi.org/10.3390/engproc2022028001
CopyStrohmeier, M., Olive, X., & Sun, J. (2022, November). Evading the Public Eye: On Astroturfing in Open Aviation Data. Proceedings of the 10th OpenSky Symposium. https://doi.org/10.3390/engproc2022028007
CopySun, J., Basora, L., Olive, X., Strohmeier, M., Schafer, M., Martinovic, I., & Lenders, V. (2022, September). OpenSky Report 2022: Evaluating Aviation Emissions Using Crowdsourced Open Flight Data. Proceedings of the 41th IEEE/AIAA Digital Avionics Systems Conference (DASC). https://doi.org/10.1109/DASC55683.2022.9925852
Florent Vergnes,
Judicael Bedouet,
Xavier Olive,
and Junzi Sun
Environmental Impact Optimisation of Flight Plans in a Fixed and Free Route Network
Proceedings of the 10th International Conference for Research in Air Transportation, 2022
CopyVergnes, F., Bedouet, J., Olive, X., & Sun, J. (2022, June). Environmental Impact Optimisation of Flight Plans in a Fixed and Free Route Network. Proceedings of the 10th International Conference for Research in Air Transportation. https://drive.google.com/file/d/1mwkqtrZbn6phOP6zurzQBjoc0FhGXc2t/view?usp=sharing
CopySchultz, M., Rosenow, J., & Olive, X. (2022). Data-Driven Airport Management Enabled by Operational Milestones Derived from ADS-B Messages. Journal of Air Transport Management, 99, 102164. https://doi.org/10.1016/j.jairtraman.2021.102164
CopyStrohmeier, M., Olive, X., Lübbe, J., Schäfer, M., & Lenders, V. (2021). Crowdsourced Air Traffic Data from the OpenSky Network 2019–2020. Earth System Science Data, 13(2), 357–366. https://doi.org/10.5194/essd-13-357-2021
CopyIkli, S., Mancel, C., Mongeau, M., Olive, X., & Rachelson, E. (2021). An Optimistic Planning Approach for the Aircraft Landing Problem. In Electronic Navigation Research Inst (Ed.), Air Traffic Management and Systems IV (Vol. 731, pp. 173–188). Springer Singapore. https://doi.org/10.1007/978-981-33-4669-7_10
A Framework to Evaluate Aircraft Trajectory Generation Methods
Proceedings of the 14th USA/Europe Air Traffic Management Research and Development Seminar, 2021
CopyOlive, X., Sun, J., Murça, M. C. R., & Krauth, T. (2021). A Framework to Evaluate Aircraft Trajectory Generation Methods. Proceedings of the 14th USA/Europe Air Traffic Management Research and Development Seminar. https://drive.google.com/file/d/1xnFSDl074UQRcyW9Ij3FodO7EBHD_5CI/view?usp=sharing
CopySun, J., Olive, X., Strohmeier, M., Schafer, M., Martinovic, I., & Lenders, V. (2021). OpenSky Report 2021: Insights on ADS-B Mandate and Fleet Deployment in Times of Crisis. Proceedings of the 40th IEEE/AIAA Digital Avionics Systems Conference (DASC). https://doi.org/10.1109/DASC52595.2021.9594361
CopyOlive, X., Sun, J., Lafage, A., & Basora, L. (2020, November). Detecting Events in Aircraft Trajectories: Rule-Based and Data-Driven Approaches. Proceedings of the 8th OpenSky Symposium. https://doi.org/10.3390/proceedings2020059008
CopySun, J., Vû, H., Olive, X., & Hoekstra, J. (2020, November). Mode S Transponder Comm-B Capabilities in Current Operational Aircraft. Proceedings of the 8th OpenSky Symposium. https://doi.org/10.3390/proceedings2020059004
CopyOlive, X., & Basora, L. (2020). Detection and Identification of Significant Events in Historical Aircraft Trajectory Data. Transportation Research Part C: Emerging Technologies, 119, 102737. https://doi.org/10.1016/j.trc.2020.102737
CopyOlive, X., Tanner, A., Strohmeier, M., Schafer, M., Feridun, M., Tart, A., Martinovic, I., & Lenders, V. (2020, September). OpenSky Report 2020: Analysing in-Flight Emergencies Using Big Data. Proceedings of the 39th IEEE/AIAA Digital Avionics Systems Conference (DASC). https://doi.org/10.1109/DASC50938.2020.9256787
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
CopyIkli, S., Mancel, C., Mongeau, M., Olive, X., & Rachelson, E. (2020). Coupling Mathematical Optimization and Machine Learning for the Aircraft Landing Problem. Proceedings of the 9th International Conference on Research in Air Transportation. https://drive.google.com/file/d/1t1ollfV4epZImcKcsnSYAJvVc9xYBokO/view
Xavier Olive,
Luis Basora,
Benoıt Viry,
and Richard Alligier
Deep Trajectory Clustering with Autoencoders
Proceedings of the 9th International Conference on Research in Air Transportation, 2020
CopyOlive, X., Basora, L., Viry, B., & Alligier, R. (2020). Deep Trajectory Clustering with Autoencoders. Proceedings of the 9th International Conference on Research in Air Transportation. http://www.icrat.org/ICRAT/seminarContent/2020/papers/ICRAT2020_paper_2.pdf
Detecting and Measuring Turbulence from Mode S Surveillance Downlink Data
Proceedings of the 9th International Conference on Research in Air Transportation, 2020
CopyOlive, X., & Sun, J. (2020). Detecting and Measuring Turbulence from Mode S Surveillance Downlink Data. Proceedings of the 9th International Conference on Research in Air Transportation. http://www.icrat.org/ICRAT/seminarContent/2020/papers/ICRAT2020_paper_3.pdf
CopySchultz, M., Olive, X., Rosenow, J., Fricke, H., & Alam, S. (2020). Analysis of Airport Ground Operations Based on ADS-B Data. Proceedings of the 1st Conference on Artificial Intelligence and Data Analytics in Air Transportation (AIDA-AT). https://doi.org/10.1109/AIDA-AT48540.2020.9049212
CopyOlive, X., & Basora, L. (2019). A Python Toolbox for Processing Air Traffic Data: A Use Case with Trajectory Clustering. Proceedings of the 7th OpenSky Workshop, 73–60. https://doi.org/10.29007/sf1f
Sana Ikli,
Catherine Mancel,
Marcel Mongeau,
Xavier Olive,
and Emmanuel Rachelson
An Optimistic Planning Approach for the Aircraft Landing Problem
Proceedings of the 6th ENRI International Workshop on ATM/CNS, 2019
CopyIkli, S., Mancel, C., Mongeau, M., Olive, X., & Rachelson, E. (2019). An Optimistic Planning Approach for the Aircraft Landing Problem. Proceedings of the 6th ENRI International Workshop on ATM/CNS, 173–188.
CopySchafer, M., Olive, X., Strohmeier, M., Smith, M., Martinovic, I., & Lenders, V. (2019, September). OpenSky Report 2019: Analysing TCAS in the Real World Using Big Data. Proceedings of the 38th IEEE/AIAA Digital Avionics Systems Conference (DASC). https://doi.org/10.1109/DASC43569.2019.9081686
CopyOlive, X. (2019). Traffic, a Toolbox for Processing and Analysing Air Traffic Data. Journal of Open Source Software, 4(39), 1518. https://doi.org/10.21105/joss.01518
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
CopyOlive, X., & Basora, L. (2019, June). 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. https://drive.google.com/file/d/1vsUmxT7FYRmfxhef3CpekvBZ3bU2Ksr0/view?usp=sharing
CopyOlive, X., & Morio, J. (2019). Trajectory Clustering of Air Traffic Flows around Airports. Aerospace Science and Technology, 84, 776–781. https://doi.org/10.1016/j.ast.2018.11.031
A-CDM Lite: Situation Awareness and Decision- Making for Small Airports Based on ADS-B Data
Proceedings of the 9th SESAR Innovation Days, 2019
CopySchultz, M., Rosenow, J., & Olive, X. (2019). A-CDM Lite: Situation Awareness and Decision- Making for Small Airports Based on ADS-B Data. Proceedings of the 9th SESAR Innovation Days. https://www.sesarju.eu/sites/default/files/documents/sid/2019/papers/SIDs_2019_paper_76.pdf
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
CopyOlive, X., Grignard, J., Dubot, T., & Saint-Lot, J. (2018). Detecting Controllers’ Actions in Past Mode S Data by Autoencoder-Based Anomaly Detection. Proceedings of the 8th SESAR Innovation Days. https://www.sesarju.eu/sites/default/files/documents/sid/2018/papers/SIDs_2018_paper_17.pdf
Quantitative Assessments of Runway Excursion Precursors Using Mode S Data
Proceedings of the 8th International Conference for Research in Air Transportation, 2018
(Best of Track paper award)
CopyOlive, X., & Bieber, P. (2018). Quantitative Assessments of Runway Excursion Precursors Using Mode S Data. Proceedings of the 8th International Conference for Research in Air Transportation. https://drive.google.com/file/d/1UyVM26OGG-H0gjCIT1b5PbrVOHbqiDGl/view?usp=sharing
Bi-Objective Optimization of a Multiple-Target Active Debris Removal Mission
Proceedings of the 65th International Astronautical Congress, 2014
CopyBérend, N., & Olive, X. (2014). Bi-Objective Optimization of a Multiple-Target Active Debris Removal Mission. Proceedings of the 65th International Astronautical Congress.
CopyOlive, X., & Nakashima, H. (2011). Efficient Representation of Constraints and Propagation of Variable-Value Symmetries in Distributed Constraint Reasoning. Journal of Information Processing, 19, 201–210. https://doi.org/10.2197/ipsjjip.19.201
SymDPOP: Adapting DPOP to Exploit Partial Symmetries
Proceedings of the 12th International Workshop on Distributed Contraint Reasoning, 2010
CopyOlive, X., & Nakashima, H. (2010). SymDPOP: Adapting DPOP to Exploit Partial Symmetries. Proceedings of the 12th International Workshop on Distributed Contraint Reasoning.
Breaking Symmetries in Distributed Constraint Programming Problems
Proceedings of the 11th International Workshop on Distributed Contraint Reasoning, 2009
CopyOlive, X., & Nakashima, H. (2009). Breaking Symmetries in Distributed Constraint Programming Problems. Proceedings of the 11th International Workshop on Distributed Contraint Reasoning.
Résolution de Conflits Par Algorithmes Stochastiques Parallèles
CopyOlive, X. (2006). Résolution de Conflits Par Algorithmes Stochastiques Parallèles [PhD thesis]. École nationale supérieure de l’aéronautique et de l’espace.