DIPLECS

Dynamic Interactive Perception-action LEarning in Cognitive Systems

 Coordinatore LINKOPINGS UNIVERSITET 

 Organization address address: CAMPUS VALLA 1
postcode: 581 83

contact info
Titolo: Mrs
Nome: Carolina
Cognome: Fröberg
Email: send email
Telefono: 0046 13 285715
Fax: 0046 13 282035

 Nazionalità Coordinatore Sweden [SE]
 Totale costo 3˙496˙111 €
 EC contributo 2˙600˙000 €
 Programma FP7-ICT
Specific Programme "Cooperation": Information and communication technologies
 Code Call FP7-ICT-2007-1
 Funding Scheme CP
 Anno di inizio 2007
 Periodo (anno-mese-giorno) 2007-12-01   -   2010-11-30

 Partecipanti

# participant  country  role  EC contrib. [€] 
1 LINKOPINGS UNIVERSITET SE coordinator 0.00
2    ASSOCIATION POUR LA RECHERCHE ET LE DEVELOPPEMENT DES METHODES ET PROCESSUS INDUSTRIELS - ARMINES

 Organization address address: BOULEVARD SAINT-MICHEL 60
city: PARIS 6
postcode: 75272

contact info
Titolo: Mr
Nome: Arnaud
Cognome: Helleux
Email: send email
Telefono: +33 140519385
Fax: +33 146342305

FR (PARIS 6) participant 0.00
3    AUTOLIV DEVELOPMENT AB

 Organization address address: WALLENTINSVAGEN 22
city: VARGARDA
postcode: 447 83

contact info
Titolo: Mr.
Nome: Jan-Erik
Cognome: Källhammer
Email: send email
Telefono: 46322667509
Fax: 46322620118

SE (VARGARDA) participant 0.00
4    CESKE VYSOKE UCENI TECHNICKE V PRAZE

 Organization address address: ZIKOVA 4
city: PRAHA 6
postcode: 166 36

contact info
Titolo: Mr.
Nome: Igor
Cognome: Mraz
Email: send email
Telefono: 420224000000
Fax: 420224000000

CZ (PRAHA 6) participant 0.00
5    ECOLE NATIONALE SUPERIEURE DES MINES DE PARIS

 Organization address address: BOULEVARD SAINT MICHEL
city: PARIS
postcode: 75272

contact info
Nome: N/A
Cognome: N/A
Email: send email
Telefono: +00 0 000000

FR (PARIS) participant 0.00
6    THE UNIVERSITY OF SURREY

 Organization address address: STAG HILL
city: GUILDFORD
postcode: GU2 7XH

contact info
Titolo: Dr.
Nome: Gillian
Cognome: Harding-Payne
Email: send email
Telefono: -684937
Fax: -684122

UK (GUILDFORD) participant 0.00

Mappa


 Word cloud

Esplora la "nuvola delle parole (Word Cloud) per avere un'idea di massima del progetto.

modelled    environment    dynamic    assistance    action    human    feedback    learned    vehicle    car    data    operation    interactive    real    learning    nthe    hierarchical    architecture    predict    driver    online    levels    context    world    time    setting   

 Obiettivo del progetto (Objective)

The DIPLECS project aims at designing an Artificial Cognitive System architecture that allows for learning and adapting hierarchical perception-action cycles in dynamic and interactive real-world scenarios. The architectural progress will be evaluated within the scenario of a driver assistance system that continuously improves its capabilities by observing the human driver, the car data, and the environment.nThe system is expected to emulate and predict the behaviour of the driver, to extract and analyse relevant information from the environment, and to predict the future state of the car in relation to its context in the world. Starting from a rudimentary, pre-specified, i.e., man-modelled system, the architecture is expected to successively replace manually modelled knowledge with learned models, thus improving robustness and flexibility. Bootstrapping and learning is applied at all levels, in a dynamic and interactive context.nDynamic and interactive context means that the system needs to react at any time to any relevant event and that the action comprises communication to the human driver or direct car control. The architecture applies a hierarchical design principle, where adjacent levels are connected by feedback-loops that require time for processing. Therefore, the potential reaction becomes more advanced through time, i.e., the system provides nested strategies. A real-time operation requires feed-forward mappings, which use the information learned in feedback operation.nThe developed methods will be evaluated in three different settings: off-line with data recorded in a real vehicle, online in the real vehicle, and online for a model car. The first setting allows for evaluating methods that take into account the dynamics of the environment, but which are not real-time capable. The second setting allows for testing of passive assistance capabilities by communicating real-time information. The third setting allows for testing of active capabilities.

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