Descrizione del progetto
Una migliore interazione uomo-macchina per i piloti
I progressi rivoluzionari nei campi dell’elettronica, dell’automazione, dell’informatica e della tecnologia degli aeromobili hanno creato una notevole concorrenza nel settore del trasporto aereo. Tutti questi progressi determinano inoltre un sovraccarico di informazioni che i piloti devono gestire durante il volo. In questo contesto, il progetto PEGGASUS, finanziato dall’UE, ha sfruttato i progressi della tecnologia informatica per introdurre un nuovo sistema di visione intelligente, che riunisce le tecnologie di tracciamento dello sguardo e di riconoscimento dei gesti della mano e che potrebbe essere applicato nelle cabine di pilotaggio per migliorare l’interazione uomo-macchina. Utilizzando telecamere con sensori nel vicino infrarosso, intelligenza artificiale e visione computerizzata, il sistema PEGGASUS riuscirà a garantire che i piloti ricevano le informazioni necessarie quando ne hanno bisogno.
Obiettivo
As the capabilities of cockpit systems increase, the way in which the pilots interact with them evolves. At the same time, flight management concepts and tools continue to increase in complexity, as well as flight and non-flight data streams, which consequently challenges the pilots’ abilities to cope with the information they need to be aware of, and exerts pressure on their cognitive states.
In in framework of the development of new Human System Interfaces carried out in WP1.2.4 the Clean Sky 2 SYSTEMS ITD, the PEGGASUS project proposes an approach to bring innovative smart vision systems to cockpits. The system we propose to develop is a crew interface and monitoring system implementing eye gaze, face, and gesture tracking technologies to bring new functionalities to Human-Machine Interfaces in the cockpit. It consists in a set of NIR-sensitive cameras powered by Computer Vision and Machine Learning algorithms running on a central processing unit. Three prototypes will be developed from a standalone lab prototype, to a TRL5 model integrated in the topic leader’s “cockpit demonstrator”. The system design shall be compliant with aircraft cockpit installation, the operational environment and pre-certification requirements. The requirements defined at the beginning of the project with the topic leader’s inputs, will be verified after its successful integration into the “cockpit demonstrator” avionics.
PEGGASUS brings together partners able to cover the complete value chain of innovative product development: SERMA Engineering (FR), an OEM for aeronautical equipment, CSEM (CH) an RTD with proven experience in innovative technologies for aeronautics, ETHZ (CH) represented by the Geogaze lab that conducts cutting edge research with eye tracking technology, particularly for the use in aviation training, and Swiss (CH), an airline and potential end user who will provide expertise in crew interfaces and monitoring.
Campo scientifico
CORDIS classifica i progetti con EuroSciVoc, una tassonomia multilingue dei campi scientifici, attraverso un processo semi-automatico basato su tecniche NLP.
CORDIS classifica i progetti con EuroSciVoc, una tassonomia multilingue dei campi scientifici, attraverso un processo semi-automatico basato su tecniche NLP.
- natural sciencescomputer and information sciencessoftware
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensorsoptical sensors
- natural sciencescomputer and information sciencesartificial intelligencecomputer vision
- engineering and technologymechanical engineeringvehicle engineeringaerospace engineeringaeronautical engineering
- natural sciencescomputer and information sciencesartificial intelligencemachine learning
Programma(i)
Meccanismo di finanziamento
CS2-IA - Innovation actionCoordinatore
2000 Neuchatel
Svizzera