Opendata, web and dolomites

DUF

Deep Learning UAV Networks for Autonomous Forest Firefighting

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

 DUF project word cloud

Explore the words cloud of the DUF project. It provides you a very rough idea of what is the project "DUF" about.

multidisciplinary    arc    predict    multiple    innovative    camera    itu    image    forest    decentralized    learned    extensive    limited    experimental    aerospace    uav    vehicles    solution    conclude    fires    aerial    hectares    ure    career    infrared    efficient    tool    techniques    istanbul    communication    suppress    assistant    flight    ministry    conference    artificial    lack    suppressing    wildfires    learning    simulations    approximate    firefighting    intelligence    collaborating    amount    domain    gain    fire    model    reduce    prof    streams    models    spread    turkey    planning    lands    acclaimed    subject    massachusetts    direction    maturity    critically    uavs    recognition    thousands    estimating    predictive    esteemed    powerful    world    tools    mature    lost    tests    duf    deep    autonomous    aeronautics    infrastructure    professor    earned    natural    degree    actions    fighting    toward    university    papers    published    ph    center    journal    coordinate    dynamic    unmanned    experiments    utilized    algorithm    first    he   

Project "DUF" data sheet

The following table provides information about the project.

Coordinator
ISTANBUL TEKNIK UNIVERSITESI 

Organization address
address: AYAZAGA KAMPUSU
city: MASLAK ISTANBUL
postcode: 34469
website: www.itu.edu.tr

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Turkey [TR]
 Total cost 145˙845 €
 EC max contribution 145˙845 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2016
 Funding Scheme MSCA-IF-EF-RI
 Starting year 2017
 Duration (year-month-day) from 2017-04-01   to  2019-03-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    ISTANBUL TEKNIK UNIVERSITESI TR (MASLAK ISTANBUL) coordinator 145˙845.00

Map

 Project objective

Thousands of hectares of forest lands are lost to wildfires every year. Utilization of Unmanned Aerial Vehicles (UAVs) is an efficient tool for fighting fires, however the state-of-the-art techniques lack in ability to predict fire spread direction and coordinate multiple UAVs to suppress the fire under limited communication. DUF project aims to apply powerful tools from artificial intelligence domain to UAV firefighting problem, creating an innovative solution for autonomous firefighting, which will reduce the amount of lands lost to fires. DUF will use the deep learning techniques for estimating the fire spread direction from infrared camera streams obtained from UAVs. Deep learning is a mature technology for classical image recognition, but the use of deep learning to learn predictive models for fire spread is a novel approach. After the model is learned, a decentralized approximate dynamic planning algorithm will be utilized to coordinate UAV actions for suppressing the fire. The algorithm development, simulations and first phase of the flight experiments will be conducted at Istanbul Technical University (ITU) Aerospace Research Center (ARC). The project will conclude with flight tests conducted on natural forest fires, with operational support from Forest of Ministry of Turkey. Prof. Ure earned his Ph.D. degree from Massachusetts Institute of Technology, working on advanced UAV projects and collaborating with leading researchers in the world. He has extensive experience on autonomous systems and published more than 30 critically acclaimed journal and conference papers in this subject. Prof. Ure is currently working as assistant professor in ITU and through this innovative multidisciplinary research and with the help of experimental infrastructure provided by the ITU, Prof. Ure is expected to gain maturity in managing research projects and advance his career toward being an esteemed professor in the field of aeronautics and artificial intelligence in Europe.

 Publications

year authors and title journal last update
List of publications.
2018 Nazim Kemal Ure
Geometric Deep Reinforcement Learning for Large Scale Multi-UAV planning With Applications to Forest Firefighting
published pages: , ISSN: , DOI:
2019-09-16

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "DUF" project.

For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.

Send me an  email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.

Thanks. And then put a link of this page into your project's website.

The information about "DUF" are provided by the European Opendata Portal: CORDIS opendata.

More projects from the same programme (H2020-EU.1.3.2.)

MemoryAggregates (2020)

Mechanism of Whi3 Aggregation and its Age-dependent Malfunction

Read More  

5G-ACE (2019)

Beyond 5G: 3D Network Modelling for THz-based Ultra-Fast Small Cells

Read More  

DEF2DEV (2019)

Identification of the mode of action of plant defensins during root development and plant defense responses.

Read More