Objective
In the real world, collision happens at every second - often results in serious accidents and fatalities. For example, there are more than 3560 people died from vehicle collision per day worldwide. On the other sector, autonomous unmanned aerial vehicles (UAVs) have demonstrated great potential in serving human society such as delivering goods to households and precision farming, but are restricted due to lacking of collision detection capability. The current approaches for collision detection such as radar, laser based Ladar and GPS are far from acceptable in terms of reliability, energy consumption and size. A new type of low cost, low energy consumption and miniaturized collision detection sensors are badly needed to not only save millions of people’s lives but also make autonomous UAVs and robots safe to serve human society. STEP2DYNA consortium proposes an innovative bio-inspired solution for collision detection in dynamic environments. It takes the advantages of low cost spatial-temporal and parallel computing capacity of visual neural systems and realized it in chip specifically for collision detection in dynamic environments.
Realizing visual neural systems in chips demands multidisciplinary expertise in biological system modelling, computer vision, chip design and robotics. This breadth of expertise is not readily possessed within one institution. Secondly, the market potential of the collision detection system could not be well exploited, unless by a dedicated partner from industry. Therefore, this consortium is designed to bring neurobiologists, neural system modelers, chip designers, robotics researchers and engineers from Europe and East of Asia together and complement each others’ research strengths via staff secondments, jointly organised workshops and conferences. Through this project, the partners will build up strong expertise in this exciting multidisciplinary area and the European SME will position well as a market leader in collision detection.
Fields of science
- natural sciencescomputer and information sciencesartificial intelligencecomputer vision
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringrobotics
- natural sciencescomputer and information sciencesdata sciencedata processing
- social scienceseconomics and businessbusiness and managementcommerce
Programme(s)
Coordinator
LN6 7TS Lincoln
United Kingdom
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Participants (3)
20148 Hamburg
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NE1 7RU Newcastle Upon Tyne
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82205 Munchen
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Partners (7)
Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
100084 Beijing
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
819 0395 Fukuoka
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
Participation ended
71049 Xi'an
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
430074 Wuhan
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
1053 Buenos Aires
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
510006 Guangzhou
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
43400 Selangor Darul Ehsan
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