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. Fields of science natural sciencescomputer and information sciencesartificial intelligencepattern recognition Programme(s) FP7-PEOPLE - Specific programme "People" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013) Topic(s) FP7-PEOPLE-2012-IRSES - Marie Curie Action "International Research Staff Exchange Scheme" Call for proposal FP7-PEOPLE-2012-IRSES See other projects for this call Funding Scheme MC-IRSES - International research staff exchange scheme (IRSES) Coordinator UNIVERSITY OF LINCOLN EU contribution € 394 800,00 Address Brayford Pool LN6 7TS Lincoln United Kingdom See on map Region East Midlands (England) Lincolnshire Lincolnshire Activity type Higher or Secondary Education Establishments Administrative Contact Shigang Yue (Dr.) Links Contact the organisation Opens in new window Website Opens in new window Total cost No data Participants (2) Sort alphabetically Sort by EU Contribution Expand all Collapse all UNIVERSITY OF NEWCASTLE UPON TYNE United Kingdom EU contribution € 18 900,00 Address KINGS GATE NE1 7RU Newcastle Upon Tyne See on map Region North East (England) Northumberland and Tyne and Wear Tyneside Activity type Higher or Secondary Education Establishments Administrative Contact Aleona Blinova Links Contact the organisation Opens in new window Website Opens in new window Total cost No data UNIVERSITAET MUENSTER Germany EU contribution € 123 900,00 Address SCHLOSSPLATZ 2 48149 MUENSTER See on map Region Nordrhein-Westfalen Münster Münster, Kreisfreie Stadt Activity type Higher or Secondary Education Establishments Administrative Contact Latjaroma Steinberg (Dr.) Links Contact the organisation Opens in new window Website Opens in new window Total cost No data