
Spatial-temporal information processing for collision detection in dynamic environments
Objective
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.
Funding Scheme
MSCA-RISE - Marie Skłodowska-Curie Research and Innovation Staff Exchange (RISE)






Coordinator
UNIVERSITY OF LINCOLN
Address
Brayford Pool
Ln6 7ts Lincoln
United Kingdom
Activity type
Higher or Secondary Education Establishments
EU Contribution
€ 517 500
Participants (3)
Sort alphabetically
Sort by EU Contribution
Expand all
UNIVERSITAET HAMBURG
Germany
EU Contribution
€ 121 500
UNIVERSITY OF NEWCASTLE UPON TYNE
United Kingdom
EU Contribution
€ 243 000
AGILE ROBOTS AG
Germany
EU Contribution
€ 126 000
Partners (6)
Sort alphabetically
Expand all
TSINGHUA UNIVERSITY
China
NATIONAL UNIVERSITY CORPORATION KYUSHU UNIVERSITY
Japan
XI'AN JIAOTONG UNIVERSITY
China
HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY
China
UNIVERSIDAD DE BUENOS AIRES
Argentina
Guangzhou University
China
Project information
STEP2DYNA
Grant agreement ID: 691154
Status
Ongoing project
-
Start date
1 July 2016
-
End date
30 June 2020
Funded under:
H2020-EU.1.3.3.
-
Overall budget:
€ 1 228 500
-
EU contribution
€ 1 008 000
Project information
STEP2DYNA
Grant agreement ID: 691154
Status
Ongoing project
-
Start date
1 July 2016
-
End date
30 June 2020
Funded under:
H2020-EU.1.3.3.
-
Overall budget:
€ 1 228 500
-
EU contribution
€ 1 008 000
Deliverables
Publications
Project information
STEP2DYNA
Grant agreement ID: 691154
Status
Ongoing project
-
Start date
1 July 2016
-
End date
30 June 2020
Funded under:
H2020-EU.1.3.3.
-
Overall budget:
€ 1 228 500
-
EU contribution
€ 1 008 000
Project information
STEP2DYNA
Grant agreement ID: 691154
Status
Ongoing project
-
Start date
1 July 2016
-
End date
30 June 2020
Funded under:
H2020-EU.1.3.3.
-
Overall budget:
€ 1 228 500
-
EU contribution
€ 1 008 000