HAZCEPT

Towards zero road accidents - nature inspired hazard perception

Coordinatore	UNIVERSITY OF LINCOLN    more  Organization address address: Brayford Pool city: LINCOLN postcode: LN6 7TS contact info Titolo: Dr. Nome: Shigang Cognome: Yue Email: send email Telefono: +44 1522 837397
Nazionalità Coordinatore	United Kingdom [UK]
Totale costo	537˙600 €
EC contributo	537˙600 €
Programma	FP7-PEOPLE Specific programme "People" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013)
Code Call	FP7-PEOPLE-2012-IRSES
Funding Scheme	MC-IRSES
Anno di inizio	2013
Periodo (anno-mese-giorno)	2013-04-01   -   2017-03-31

 Partecipanti

#	participant	country	role	EC contrib. [€]
1	UNIVERSITY OF LINCOLN  Organization address address: Brayford Pool city: LINCOLN postcode: LN6 7TS contact info Titolo: Dr. Nome: Shigang Cognome: Yue Email: send email Telefono: +44 1522 837397	UK (LINCOLN)	coordinator	394˙800.00
2	WESTFAELISCHE WILHELMS-UNIVERSITAET MUENSTER  Organization address address: SCHLOSSPLATZ 2 city: MUENSTER postcode: 48149 contact info Titolo: Dr. Nome: Latjaroma Cognome: Steinberg Email: send email Telefono: +49 251 83 22151 Fax: +49 251 21502	DE (MUENSTER)	participant	123˙900.00
3	UNIVERSITY OF NEWCASTLE UPON TYNE  Organization address address: Kensington Terrace 6 city: NEWCASTLE UPON TYNE postcode: NE1 7RU contact info Nome: Aleona Cognome: Blinova Email: send email Telefono: +44 191 282 4528 Fax: +44 191 282 4524	UK (NEWCASTLE UPON TYNE)	participant	18˙900.00

Mappa

 Word cloud

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

 Obiettivo del progetto (Objective)

'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.'