Hola,
¿eres nuevo aquí?

Regístrate gratis y conecta tu empresa con financiación pública, partners y proyectos.

Tengo cuenta

Regístrate

Ver video

HAAWAII

Financiado

Cerrado

Highly Automated Air Traffic Controller Workstations with Artificial Intelligenc...

Highly Automated Air Traffic Controller Workstations with Artificial Intelligence Integration Advanced automation support developed in Wave 1 of SESAR IR includes using of automatic speech recognition (ASR) to reduce the amount of manual data inputs by air-traffic controllers. Evaluation of controllers’ feedback has been s... ver más

30/11/2022

DLR

2M€

Presupuesto del proyecto: 2M€

Líder del proyecto

DEUTSCHES ZENTRUM FUR LUFT UND RAUMFAHRT EV No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Fecha límite participación Sin fecha límite de participación.

Ver 8 Participantes

Financiación concedida El organismo H2020 notifico la concesión del proyecto el día 2022-11-30

SESAR-ER4-18-2019: Automation and CWP

I+D

Cerrada hace 5 años

0% 100% 100%

Información adicional privada

No hay información privada compartida para este proyecto. Habla con el coordinador.

8 Participantes

DLR

520.00K€ | Lider

TECNOLOGIAS DE AUTOMATIZACIO...

135.76K€ | Participante

BRNO UNIVERSITY OF TECHNOLOG...

300.00K€ | Participante

Conecta tu I+D

¿Tienes un proyecto y buscas un partner? Gracias a nuestro motor inteligente podemos recomendarte los mejores socios y ponerte en contacto con ellos. Te lo explicamos en este video

Proyectos interesantes

ARTIMATION TRANSPARENT ARTIFICIAL INTELLIGENCE AND AUTOMATION TO AIR TR... 999K€ Cerrado

ECOSISTEMA CACIA CONTROL AUTÓNOMO DE CALIDAD... ECOSISTEMA CACIA CONTROL AUTÓNOMO DE CALIDAD BASADO EN INTE... 376K€ Cerrado

SISTEMA DE COMPRA AUTOMATIZADA CON RECONOCIM... SISTEMA DE COMPRA AUTOMATIZADA CON RECONOCIMIENTO FACIAL Y... 195K€ Cerrado

ATCO2 Automatic collection and processing of voice data from air t... 834K€ Cerrado

SAMAIN SISTEMA AUTÓNOMO Y MASIVO DE APRENDIZ... SAMAIN SISTEMA AUTÓNOMO Y MASIVO DE APRENDIZAJE INTELIGENTE 1M€ Cerrado

ROUTE UNVELLING WITH TECNIQUES OF ARTIFICIAL... ROUTE UNVELLING WITH TECNIQUES OF ARTIFICIAL INTELLIGENCE 731K€ Cerrado

Duración del proyecto: 28 meses Fecha Inicio: 2020-07-23
Fecha Fin: 2022-11-30

Líder del proyecto

DEUTSCHES ZENTRUM FUR LUFT UND RAUMFAHRT EV No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Presupuesto del proyecto 2M€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto Advanced automation support developed in Wave 1 of SESAR IR includes using of automatic speech recognition (ASR) to reduce the amount of manual data inputs by air-traffic controllers. Evaluation of controllers’ feedback has been subdued due to the limited recognition performance of the commercial of the shell ASR engines that were used, even in laboratory conditions. The reasons for the unsatisfactory conclusions include e.g. inability to distinguish controllers’ accents, deviations from standard phraseology and limited real-time recognition performance. Past exploratory research funded project MALORCA, however, has shown (on restricted use-cases) that satisfactory performance can be reached with novel data-driven machine learning approaches. Based on the results of MALORCA HAAWAII project aims to research and develop a reliable, error resilient and adaptable solution to automatically transcribe voice commands issued by both air-traffic controllers and pilots. The project will build on very large collection of data, organized with a minimum expert effort to develop a new set of models for complex environments of Icelandic en-route and London TMA. HAAWAII aims to perform proof-of-concept trials in challenging environments, i.e. to be directly connected with real-life data from ops room. As pilot read-back error detection is the main application, HAAWAII aims to significantly enhance the validity of the speech recognition models. The proposed work goes far beyond the work planned for the Wave 2 IR programme and will improve both safety and reduce controllers’ workload. The digitization of controller and pilot voice utterances can be used for a wide variety of safety and performance related benefits including, but not limiting to pre-fill entries into electronic flight strips and CPDLC messages. Another application demonstrated during proof-of-concept will be to objectively estimate controllers’ workload utilising digitized voice recordings of the complex London TMA.

Conecta tu I+D

Entra hoy

¿Olvidé mi contraseña?

Financiación

Empresas

CTIs/Universidades

Proyectos

Investigadores