Concept

Avion militaire

Publications associées (12)

Flowfield Reconstruction Method Using Artificial Neural Network

Multi-dimensional aerodynamic database development has become more and more impor- tant for the design, control and guidance of modern aircrafts. In order to relieve the curse of the dimensionality, we propose a novel flow field reconstruction method based ...

2018

Vision-Based Sense and Avoid Algorithms for Unmanned Aerial Vehicles

Steven Adriaan Roelofsen

The field of Unmanned Aerial Vehicles (UAVs), also known as drones, is rapidly growing, both in terms of size and of number of applications. Civil applications range from mapping, inspection, search and rescue, taking aerial footage, to art show, entertain ...

EPFL2017

Detection of Aircrafts on a Collision Course using Spatio-Temporal HOG

Pascal Fua, Vincent Lepetit, Artem Rozantsev, Christos Marios Christoudias

We have developed a method for the detection of both generic flight neighbouring aircrafts and those on a collision course. Our approach employs a sliding window linear Support Vector Machine (SVM) classifier with a Histogram of Oriented Gradients (HOG) fe ...

2013

Gust Load Alleviation Based on Model Predictive Control

Timm Faulwasser, Michael Köpf

Weight reduction is a typical design goal for modern aircraft. If gust encoun- ters (as required by Certification Specification 25) are sizing conditions of parts of the airframe, this can be achieved (for example) by an active gust load alleviation system ...

2013

A UAV Motor Denoising Technique to Improve Localization of Surrounding Noisy Aircrafts: Proof of Concept for Anti-Collision Systems

Hervé Lissek, Xavier Falourd, Patrick Marmaroli

Unmanned Aerial Vehicles (UAVs) have become very affordable and small in recent years, and are increasingly used in a wide range of monitoring and surveillance applications. A major problem when operating with swarm of UAVs is the risk of mid-air collision ...

2012

Integrated schedule planning with supply-demand interactions for a new generation of aircrafts

Michel Bierlaire, Matteo Salani, Bilge Atasoy

We present a model where we integrate schedule design, fleet assignment and demand models to maximize the profit of an airline. The objective of the study is to identify the challenges behind the integration of demand modeling into the optimization model a ...

2011

Improved multi-aircraft ground trajectory prediction for air traffic control

John Lygeros, Ioannis Lymperopoulos

Accurate trajectory prediction plays a fundamental role in advanced air traffic control operations, because it forms the basis for (among others) conflict detection and resolution schemes. It has been demonstrated that improved trajectory prediction accura ...

American Institute of Aeronautics and Astronautics2010

An algorithm for the recovery of disrupted airline schedules

Michel Bierlaire, Matteo Salani, Niklaus Eggenberg

We consider the recovery of an airline schedule after an unpredicted event, commonly called disruption, that makes the planned schedule unfeasible. In particular we consider the aircraft recovery problem for a heterogeneous fleet of aircrafts, made of regu ...

2008

Toward 30-gram Autonomous Indoor Aircraft: Vision-based Obstacle Avoidance and Altitude Control

Dario Floreano, Jean-Christophe Zufferey

We aim at developing autonomous micro-flyers capable of navigating within houses or small built environments. The severe weight and energy constraints of indoor flying platforms led us to take inspiration from flying insects for the selection of sensors, s ...

2005

Bio-inspired vision-based flying robots

Jean-Christophe Zufferey

There are not yet autonomous flying robots capable of manoeuvring in small cluttered environments as insects do. Encouraged by this observation, this thesis presents the development of ultra-light flying robots and control systems going one step toward ful ...

EPFL2005

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