Skip to main content

Life-like visual information processing for robust collision detection

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, and
WP5: Dissemination, exploitation, business model."

Field of science

  • /engineering and technology/electrical engineering, electronic engineering, information engineering/electronic engineering/robotics/autonomous robots/drones
  • /natural sciences/computer and information sciences/data science/data processing

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
Activity type
Higher or Secondary Education Establishments
EU contribution
€ 472 500
Administrative Contact
Shigang Yue (Dr.)

Participants (2)

UNIVERSITAET HAMBURG
Germany
EU contribution
€ 168 000
Address
Mittelweg 177
20148 Hamburg
Activity type
Higher or Secondary Education Establishments
Administrative Contact
Tim Scharfenberg (Mr.)
UNIVERSITY OF NEWCASTLE UPON TYNE
United Kingdom
EU contribution
€ 84 000
Address
Kings Gate
NE1 7RU Newcastle Upon Tyne
Activity type
Higher or Secondary Education Establishments
Administrative Contact
Amanda Gregory (Dr.)