Objective To be able to detected collision efficiently is of vital importance for the survival of animals that are migrating at speed, especially for those flying in dense swarms like locusts. Vision plays a critical role in collision detection for most animal species in a dynamic world. It is expected that in future, many human made machines, such like ground vehicles, mobile robots, and unmanned aerial vehicles, should all be able to detect and avoid collisions effectively as animals do. The challenge to achieve this is huge. Biological visual neural systems provide ideal models to achieve this goal.LIVCODE consortium focuses on robust solutions for visual based collision detection. Taking the inspiration from biological visual systems, the consortium will bring neurobiologists, neural system modellers, chip designers, and robotic researchers together and complement each others’ research strengths via staff secondments, and jointly organised seminars and workshops. The consortium will investigate robust solutions for collision detection in the real world, through neural system modelling, neural model integration, chip realization and application, in order to build strong connections between the European institutions and partner institutions in a fast growing economy.Six work packages (WPs) are designed to achieve the objectives of the project:WP0: Project management,WP1: Biological plausible visual neural system modelling,WP2: Multiple visual neural systems integration,WP3: VLSI neural vision chip design,WP4: Neural vision systems for mobile robots and unmanned aerial systems, andWP5: Dissemination, exploitation, business model. Fields of science social scienceseconomics and businessbusiness and managementbusiness modelsengineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringroboticsautonomous robotsdronesnatural sciencescomputer and information sciencesdata sciencedata processing 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-2011-IRSES - Marie Curie Action "International Research Staff Exchange Scheme" Call for proposal FP7-PEOPLE-2011-IRSES See other projects for this call Funding Scheme MC-IRSES - International research staff exchange scheme (IRSES) Coordinator UNIVERSITY OF LINCOLN 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 EU contribution No data Participants (2) Sort alphabetically Sort by EU Contribution Expand all Collapse all UNIVERSITAET HAMBURG Germany EU contribution € 168 000,00 Address Mittelweg 177 20148 Hamburg See on map Region Hamburg Hamburg Hamburg Activity type Higher or Secondary Education Establishments Administrative Contact Tim Scharfenberg (Mr.) Links Contact the organisation Opens in new window Website Opens in new window Other funding No data UNIVERSITY OF NEWCASTLE UPON TYNE United Kingdom EU contribution € 84 000,00 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 Amanda Gregory (Dr.) Links Contact the organisation Opens in new window Website Opens in new window Other funding No data
