activity
20072023
most citedTrajectory Clustering and an Application to Airspace Monitoring

37 citations · 58 across the 6 of their papers we have counts for

collaborators

7 papers

cs.LG2023★ 8 cited

Bayesian Safety Validation for Failure Probability Estimation of Black-Box Systems

Robert J. Moss, Mykel J. Kochenderfer, Maxime Gariel +1

Estimating the probability of failure is an important step in the certification of safety-critical systems. Efficient estimation methods are often needed due to the challenges pose…

cs.LG2023★ 7 cited

Framework for Certification of AI-Based Systems

Maxime Gariel, Brian Shimanuki, Rob Timpe +1

The current certification process for aerospace software is not adapted to "AI-based" algorithms such as deep neural networks. Unlike traditional aerospace software, the precise pa…

eess.SY2011★ 5 cited

On the Statistics and Predictability of Go-Arounds

Maxime Gariel, Kevin Spieser, Emilio Frazzoli

This paper takes an empirical approach to identify operational factors at busy airports that may predate go-around maneuvers. Using four years of data from San Francisco Internatio…

eess.SY2011

Aircraft Proximity Maps Based on Data-Driven Flow Modeling

Erwan Salaün, Maxime Gariel, Adan Vela +1

With the forecast increase in air traffic demand over the next decades, it is imperative to develop tools to provide traffic flow managers with the information required to support…

cs.LG2010★ 37 cited

Trajectory Clustering and an Application to Airspace Monitoring

Maxime Gariel, Ashok N. Srivastava, Eric Feron

This paper presents a framework aimed at monitoring the behavior of aircraft in a given airspace. Nominal trajectories are determined and learned using data driven methods. Standar…

cs.OH2008

Graceful Degradation of Air Traffic Operations

Maxime Gariel, Eric Feron

The introduction of new technologies and concepts of operation in the air transportation system is not possible, unless they can be proven not to adversely affect the system operat…