Xavier Olive

Xavier Olive
The French Aerospace Lab ONERA | ONERA · Information Processing

PhD
Research scientist, open-access evangelist, Pythonista

About

45
Publications
28,570
Reads
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566
Citations
Citations since 2017
36 Research Items
548 Citations
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Introduction
I keep an eye on anything that can fly. My interests include aircraft and computer science, machine learning–with a particular focus on anomaly and pattern detection–, data visualisation, geographic information systems, constraint optimisation and (non-programming) languages – the ones real people speak!
Additional affiliations
July 2012 - present
The French Aerospace Lab ONERA
Position
  • Researcher
Education
April 2007 - March 2011
Kyoto University
Field of study
  • Computer Science
September 2003 - September 2006

Publications

Publications (45)
Conference Paper
Full-text available
Aircraft trajectory generation is a widely addressed problem with applications including emergency trajectory generation , collision risk models, air traffic flow and capacity management or airspace design. State of the art methods to generate individual trajectories and optimise some performance or emergency criterion may lack of realism with resp...
Article
Full-text available
Airspace design is subject to a multitude of constraints, which are mainly driven by the concern to keep the risk of mid-air collision below a target level of safety. For that purpose, Monte Carlo simulation methods can be applied to estimate aircraft conflict probability but require the accurate generation of artificial trajectories. Generative mo...
Article
A large amount of data is produced every day by stakeholders of the Air Traffic Management (ATM) system, in particular airline operators, airports, and air navigation service providers (ANSP). Most data is kept private for many reasons, including commercial and security concerns. More than data, shared information is precious, as it leverages intel...
Preprint
Full-text available
Anomaly detection is an active area of research with numerous methods and applications. This survey reviews the state-of-the-art of data-driven anomaly detection techniques and their application to the the aviation domain. After a brief introduction to the main traditional data-driven methods for anomaly detection, we review the recent advances in...
Article
Full-text available
The aircraft conflict detection and resolution problem has been addressed with a wide range of centralised methods in the past few decades, e.g. constraint programming, mathematical programming or metaheuristics. In the context of autonomous, decentralized collision avoidance without explicit coordination, geometric methods provide an elegant, cost...
Conference Paper
Full-text available
Civil aviation contributes to rising global greenhouse gas emissions. Flights carried out by private and business jets are only a very small fraction of commercial passenger flights. However, these private flights are extremely environmentally inefficient and account for the most emissions per passenger in the aviation sector. While the commercial...
Conference Paper
Full-text available
Global navigation satellite systems technology is at the core of modern air traffic navigation. Aircraft use it to estimate their position, while air navigation service providers rely on services such as automatic dependent surveillance broadcast which have been enabled by this technology. Since satellite signals are very low in power, they are sus...
Conference Paper
Full-text available
The environmental impact of aviation has become the focus of increased concerns for policymakers around the world. The recent pandemic provided many interesting case studies on the impact of aviation on the environment. Following the initial COVID-19 containment measures and hard lock-downs, the sharp decrease in aircraft movements caused a measura...
Conference Paper
Full-text available
Efforts to minimise the environmental impact of aviation can be implemented at several levels including electric green taxiing systems, novel propulsion systems, jet fuels, improvements in aircraft efficiency and optimisation of climb profiles. In this paper, we address the optimisation of flight plans in a route network considering operational par...
Article
Standardized, collaborative decision-making processes have already been implemented at some network-relevant airports, and these can be further enhanced through data-driven approaches (e.g., data analytics, predictions). New cost-effective implementations will also enable the appropriate integration of small and medium-sized airports into the aviat...
Conference Paper
Full-text available
Aircraft trajectory generation is a high stakes problem with a wide scope of applications, including collision risk estimation, capacity management and airspace design. Most generation methods focus on optimizing a criterion under constraints to find an optimal path, or on predicting aircraft trajectories. Nevertheless, little in the way of contrib...
Conference Paper
Full-text available
The year 2020 had been selected by EU and US regulators as the deadline for ADS-B compliant Mode S transponders, following various iterations of ADS-B and Mode S services. It will also be remembered as marking a profound change in civil aviation, when the global virus outbreak triggered an unprecedented slowdown in traffic and brought immense impac...
Article
Full-text available
Predictive maintenance has received considerable attention in the aviation industry where costs, system availability and reliability are major concerns. In spite of recent advances, effective health monitoring and prognostics for the scheduling of condition-based maintenance operations is still very challenging. The increasing availability of maint...
Article
Full-text available
The aircraft scheduling problem consists in sequencing aircraft on airport runways and in scheduling their times of operations taking into consideration several operational constraints. It is known to be an NP-hard problem, an ongoing challenge for both researchers and air traffic controllers. The aim of this paper is to present a focused review on...
Chapter
Full-text available
The Aircraft Landing Problem consists in sequencing aircraft on the available runways and scheduling their landing times taking into consideration several operational constraints, in order to increase the runway capacity and/or to reduce delays. In this work we propose a new Mixed Integer Programming (MIP) model for sequencing and scheduling aircra...
Article
Full-text available
The OpenSky Network is a non-profit association that crowdsources the global collection of live air traffic control data broadcast by aircraft and makes them available to researchers. OpenSky's data have been used by over 100 academic groups in the past 5 years, with popular research applications ranging from improved weather forecasting to climate...
Conference Paper
Full-text available
The large amount of aircraft trajectory data publicly available through open data sources like the OpenSky Network presents a wide range of possibilities for monitoring and post-operational analysis of air traffic performance. This contribution addresses the automatic identification of operational events associated with trajectories. This is a chal...
Conference Paper
Full-text available
Mode S surveillance allows air traffic controllers to interrogate certain informationfrom aircraft, such as airspeeds, turn parameters, target altitudes, and meteorological conditions.However, not allaircraft have enabled the same capabilities. Before performing any specificinterrogation, the surveillance radar must acquire the transponder capabili...
Conference Paper
Full-text available
Transponder codes are four octal digit numbers transmitted by an aircraft transponder in response to a secondary surveillance radar interrogation. These discrete transponder codes (also known as squawk codes) help with the clear labelling of an affected aircraft on radar screens. Three particular squawk codes are associated with specific situations...
Preprint
Full-text available
The OpenSky Network is a non-profit association that crowdsources the global collection of live air traffic control data broadcast by airplanes and makes it available to researchers. OpenSky's data has been used by over a hundred academic groups in the past five years, with popular research applications ranging from improved weather forecasting to...
Conference Paper
Full-text available
Identification and characterisation of air traffic flows is an important research topic with many applications areas including decision-making support tools, airspace design or traffic flow management. Trajectory clustering is an unsupervised data-driven approach used to automatically identify air traffic flows in trajectory data. Long-established...
Conference Paper
Publicly available aircraft airborne and ground movement data pave the way to new advanced analyses of complex behaviours and collaborative decision making tools for the optimisation of airport operations. Such data-driven approaches will allow cost efficient implementations, which are a key enabler for the efficient integration of small/medium siz...
Conference Paper
Full-text available
The data-driven analysis of aircraft movement data from public available sources provides further insights into the complex airport operations, beyond the capabilities of analytical and model-based methods. In the context of airport collaborative decision making, these data-driven approaches will allow cost efficient implementations, which are a ke...
Conference Paper
Full-text available
Problems tackled by researchers and data scientists in aviation and air traffic management (ATM) require manipulating large amounts of data representing trajectories, flight parameters and geographical descriptions of the airspace they fly through. The traffic library for the Python programming language defines an interface to usual processing and...
Article
Full-text available
Anomaly detection is an active area of research with numerous methods and applications. This survey reviews the state-of-the-art of data-driven anomaly detection techniques and their application to the aviation domain. After a brief introduction to the main traditional data-driven methods for anomaly detection, we review the recent advances in the...
Conference Paper
Full-text available
Collision avoidance is one of the most crucial applications with regards to the safety of the global airspace. The introduction of mandatory airborne collision avoidance systems has significantly reduced the likelihood of mid-air collisions despite the increase in air traffic density. In this paper, we analyze 250 billion aircraft transponder messa...
Conference Paper
Full-text available
This paper presents a framework to identify and characterise anomalies in past en-route Mode S trajectories. The technique builds upon two previous contributions introduced in 2018: it combines a trajectory-clustering method to obtain the main flows in an airspace with autoencoding artificial neural networks to perform anomaly detection in flown tr...
Preprint
Full-text available
A way to assess rare aircraft incidents (e.g., runway excursion) is to identify contributing factors (e.g., late braking, long landing, inappropriate flare, unstable approach) and to build a dependency tree (e.g., long landing may be the result of an unstable approach not followed by a go around) that describes the causality between these factors....
Article
Full-text available
We present a new approach to separate air traffic trajectories in an area constrained by operational procedures. This technique is applied on a set of real trajectories in Toulouse terminal manoeuvring area (TMA). The resulting clusters foster good understanding of the structure of traffic and of how controllers schedule landings at Toulouse–Blagna...
Conference Paper
Full-text available
The preparation and execution of training simula- tions for Air Traffic Control (ATC) and pilots requires a sig- nificant commitment of operational experts. Such a mobilisation could be alleviated by a decision support tool trained to generate a realistic environment based on historical data. Prior to studying methods able to learn from a dataset o...
Conference Paper
Full-text available
A way to assess rare aircraft incidents (e.g., runway excursion) is to identify contributing factors (e.g., late braking, long landing, inappropriate flare, unstable approach) and to build a dependency tree (e.g., long landing may be the result of an unstable approach not followed by a go around) that describes the causality between these factors....
Article
The increasing number of space debris in Low-Earth Orbit (LEO) raises the question of future Active Debris Removal (ADR) operations. Typical ADR scenarios rely on an Orbital Transfer Vehicle (OTV) using one of the two following disposal strategies: the first one consists in attaching a deorbiting kit, such as a solid rocket booster, to the debris a...
Article
Full-text available
In this paper, we discuss variable and value symmetries in distributed constraint reasoning and efficient methods to represent and propagate them in distributed environments. Unlike commonly used centralised methods which detect symmetries according to their global definition, we suggest here to define them at the individual constraint level, then...
Technical Report
Full-text available
This paper considers the approach of symmetry breaking by dominance detection and extends it to the scope of distributed constraint programming. It exploits previous results of symmetry propagation in distributed environments and proves that propagating partial symmetry information together with back-track messages of a distributed Branch & Bound i...
Technical Report
Full-text available
This paper considers the approach of symmetry breaking by dominance detection and extends it to the scope of distributed constraint programming. It exploits previous results of symmetry propagation in distributed environments and proves that propagating partial symmetry information together with back-track messages of a distributed Branch & Bound i...
Technical Report
Full-text available
This paper presents an efficient method to list equivalence classes (or orbits) of assignations of values to variables, where assignations are symmetrical through a group of variables and values permutations. We also present an algorithm designed to compute efficiently a canonical form of any assignation with respect to those orbits — problem also...
Conference Paper
Full-text available
This work proposes a new approach to dealing with sym-metries in Distributed Constraint Optimisation Problems by adapting the DPOP algorithm [1]. In contrast to an already proposed distributed preprocessing method leading to a problem redefinition [2], we present here a method that exploits the structure of DFS trees, with no explicit redefinition...
Conference Paper
Full-text available
Though various preprocessing techniques have been stud- ied for improving the performance of distributed constraint satisfaction problems, no approach for detecting and breaking symmetries has been studied in depth. In this paper, we describe a method for detecting some symmetries of a given distributed problem and for exploiting them. Then, we val...

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Cited By

Projects

Projects (2)
Project
This project aims at developping methods to grasp information behind large amount of aircraft trajectory data.
Project
Enable open aviation research using surveillance data