Hola,
¿eres nuevo aquí?

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

Tengo cuenta

Regístrate

Ver video

HAZCEPT

Financiado

Cerrado

Towards zero road accidents nature inspired hazard perception

The number of road traffic accident fatalities world wide has recently reached 1.3 million each year, with between 20 and 50 million injuries being caused by road accidents. In theory, all accidents can be avoided. Studies showed... ver más

31/03/2017

UNIVERSITY OF LINC...

538K€

Presupuesto del proyecto: 538K€

Líder del proyecto

UNIVERSITY OF LINCOLN 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 3 Participantes

Financiación concedida El organismo FP7 notifico la concesión del proyecto el día 2017-03-31 No tenemos la información de la convocatoria

0% 100% 100%

Información adicional privada

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

3 Participantes

UNIVERSITY OF LINCOLN

0.00€ | Lider

N.D. | Participante

UNEW

N.D. | 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

TEC2008-02077 DESARROLLO DE HERRAMIENTAS PARA EL RECONOCIMIENTO AUTOMATICO... 17K€ Cerrado

ASSET-ROAD ASSET Advanced Safety and Driver Support in Essential Road T... 8M€ Cerrado

TRA2011-29454-C03-02 DRIVER DISTRACTION DETECTOR SYSTEM 59K€ Cerrado

DPI2014-53525-C3-1-R NAVEGACION ASISTIDA MEDIANTE LEGUAJE NATURAL 128K€ Cerrado

TIN2017-82928-R SISTEMA EVOLUTIVO DE APOYO A LA CONDUCCION SEGURA Y EFICIENT... 83K€ Cerrado

RTI2018-099263-B-C21 TECNOLOGIAS ROBUSTAS PARA UN CONCEPTO DE COCHE ELECTRICO AUT... 150K€ Cerrado

Líder del proyecto

UNIVERSITY OF LINCOLN No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Presupuesto del proyecto 538K€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto The number of road traffic accident fatalities world wide has recently reached 1.3 million each year, with between 20 and 50 million injuries being caused by road accidents. In theory, all accidents can be avoided. Studies showed that more than 90% road accidents are caused by or related to human error. Developing an efficient system that can detect hazardous situations robustly is the key to reduce road accidents. This HAZCEPT consortium will focus on automatic hazard scene recognition for safe driving. The primary objective of this project is to build international capacity and cooperation in the fields of nature inspired visual computation, pattern recognition and human behaviour analysis, to explore effective methodologies for hazard perception. Vision plays a critical role in hazard perception and escape behaviour for most animal species in a dynamic world. Many animal species, such as dung beetles and locusts, have also developed efficient night vision systems that work well in low light conditions. At a higher level, human vision combines cognitive cues such as road markings and signposts to judge hazard situations robustly. The naturally evolved biological vision systems provide ideal models to develop tireless artificial vision systems for hazard perception. On the other hand, a driver plays a key role in the safe driving loop, the status and behaviour of a driver should be constantly monitored and automatically analysed. Taking the inspiration from biological vision systems, the consortium will bring together neurobiologists, neural system modellers, pattern recognition experts, an autonomous system integrator and a human/robot movement analyst to develop a hazard perception system, whilst also building strong connections between the European institutions and partner institutions in the East of Asia via staff secondments, and jointly organised seminars and workshops.

Conecta tu I+D

Entra hoy

¿Olvidé mi contraseña?

Financiación

Empresas

CTIs/Universidades

Proyectos

Investigadores