Project detail

iARTIST - industry-Academia Research on Three-dimensional Image Sensing for Transportation

Duration: 01.10.2017 — 31.01.2018

Funding resources

Evropská unie - Seventh Research Framework Programme

- whole funder (2017-10-01 - 2018-01-31)
Evropská unie - Seventh Research Framework Programme

- whole funder (2017-10-01 - 2018-01-31)

On the project

iARTIST (Industry Academia Research on Three-dimensional Imaging Systems for Transportation) is a project between two academic institutions (University of Oxford and T.U. Munich) and two industrial partners (Vlatacom and Tattile) to develop next generation of smart Intelligent Transport Systems. Funded by the European Commission under Marie Curie IAPP Program, this project provides for secondment between the academic and industrial partners.

Description in Czech
iARTIST je projekt mezi akademickými institucemi (University of Oxford, TU Munich, Brno University of Technology) a dvěma průmyslovými partnery (Vlatacom a Tattile) s cílem vyvíjet budoucí generaci chytrých dopravních systémů. Projekt je financován Evropskou komisí programem Marie Curie IAPP a poskytuje možnost výměnných pobytů mezi akademickými a průmyslovými partnery.

Keywords
intelligent transportation systems, academic-industrial secondments, visual sensors

Default language

English

People responsible

Herout Adam, prof. Ing., Ph.D. - principal person responsible

Units

Department of Computer Graphics and Multimedia
- beneficiary (2017-08-22 - 2018-01-31)

Results

ŠPAŇHEL, J.; SOCHOR, J.; MAKAROV, A. Vehicle Fine-grained Recognition Based on Convolutional Neural Networks for Real-world Applications. In 2018 14th Symposium on Neural Networks and Applications (NEUREL). Belgrade: IEEE Signal Processing Society, 2018. p. 1-5. ISBN: 978-1-5386-6974-7.
Detail

ŠPAŇHEL, J.; SOCHOR, J.; MAKAROV, A. Detection of Traffic Violations of Road Users Based on Convolutional Neural Networks. In 2018 14th Symposium on Neural Networks and Applications (NEUREL). Belgrade: IEEE Signal Processing Society, 2018. p. 1-6. ISBN: 978-1-5386-6974-7.
Detail

Link

http://www.eng.ox.ac.uk/iartist

Responsibility: Herout Adam, prof. Ing., Ph.D.