Robust and Reliable Environment Sensing and Situation Prediction for Advanced Driver Assistance Systems and Automated Driving

Informazioni relative al progetto

RobustSENSE

ID dell’accordo di sovvenzione: 661933

DOI

10.3030/661933

Progetto chiuso

Data della firma CE 16 Giugno 2015

Data di avvio 1 Giugno 2015

Data di completamento 31 Maggio 2018

Finanziato da

• INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT)

Costo totale

€ 8 690 331,95

Contributo UE

€ 3 348 357,55

Coordinato da

MERCEDES-BENZ GROUP AG
Germany

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

Documents, reports (4)

Dissemination plan

D6.2 Dissemination plan, EICT, Due date M07 (one update, M19). The deliverable describes the project’s dissemination and communication activities.

System performance assessment specification

This deliverable describes the functionality of the system performance assessment component and all interfaces to the vehicle.

Dissemination plan update

Update of D62 Dissemination plan

Final Report

The Final Report summarises the project achievements and describes consortium plans for future exploitation.

Demonstrators, pilots, prototypes (1)

Demonstrators

The demonstrator with a system integrated to be publicly presentable

Websites, patent fillings, videos etc. (1)

Website

Project website is a communication means inside and outside the project. It is updated regularly.

Pubblicazioni

Conference proceedings (9)

Polarimetrie RCS analysis of traffic objects

Autori: Hasan Iqbal, Frank Bogelsack, Christian Waldschmidt
Pubblicato in: 2017 European Radar Conference (EURAD), 2017, Pagina/e 49-52, ISBN 978-2-87487-049-1
Editore: IEEE
DOI: 10.23919/EURAD.2017.8249144

Spectral attenuation in low visibility artificial fog: Experimental study and comparison to literature models

Autori: Aki Mayra, Eero Hietala, Matti Kutila, Pasi Pyykonen
Pubblicato in: 2017 13th IEEE International Conference on Intelligent Computer Communication and Processing (ICCP), 2017, Pagina/e 303-308, ISBN 978-1-5386-3368-7
Editore: IEEE
DOI: 10.1109/ICCP.2017.8117021

Functional system architectures towards fully automated driving

Autori: Omer Sahin Tas, Florian Kuhnt, J. Marius Zollner, Christoph Stiller
Pubblicato in: 2016 IEEE Intelligent Vehicles Symposium (IV), 2016, Pagina/e 304-309, ISBN 978-1-5090-1821-5
Editore: IEEE
DOI: 10.1109/IVS.2016.7535402

Automated vehicle system architecture with performance assessment

Autori: Omer Sahin Tas, Stefan Hormann, Bernd Schaufele, Florian Kuhnt
Pubblicato in: 2017 IEEE 20th International Conference on Intelligent Transportation Systems (ITSC), 2017, Pagina/e 1-8, ISBN 978-1-5386-1526-3
Editore: IEEE
DOI: 10.1109/ITSC.2017.8317862

Experimental study on spectral absorbance in fog as a function of temperature, liquid water content, and particle size

Autori: Aki P. Mäyrä, Eero Hietala, Matti H. Kutila, Pasi Pyykönen, Mikko Tiihonen, Tuomas Jokela
Pubblicato in: Optics in Atmospheric Propagation and Adaptive Systems XX, 2017, Pagina/e 15, ISBN 9781-510613157
Editore: SPIE
DOI: 10.1117/12.2277308

Limited Visibility and Uncertainty Aware Motion Planning for Automated Driving

Autori: Ömer Sahin Tas, Christoph Stiller
Pubblicato in: Proceedings IEEE Intelligent Vehicle Symposium, 2018
Editore: IEEE

Probabilistic long-term prediction for autonomous vehicles

Autori: Stefan Hoermann, Daniel Stumper, Klaus Dietmayer
Pubblicato in: 2017 IEEE Intelligent Vehicles Symposium (IV), 2017, Pagina/e 237-243, ISBN 978-1-5090-4804-5
Editore: IEEE
DOI: 10.1109/IVS.2017.7995726

Robust environment perception for the Audi Autonomous Driving Cup

Autori: Florian Kuhnt, Micha Pfeiffer, Peter Zimmer, David Zimmerer, Jan-Markus Gomer, Vitali Kaiser, Ralf Kohlhaas, J. Marius Zollner
Pubblicato in: 2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC), 2016, Pagina/e 1424-1431, ISBN 978-1-5090-1889-5
Editore: IEEE
DOI: 10.1109/ITSC.2016.7795744

Automotive LIDAR sensor development scenarios for harsh weather conditions

Autori: Matti Kutila, Pasi Pyykonen, Werner Ritter, Oliver Sawade, Bernd Schaufele
Pubblicato in: 2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC), 2016, Pagina/e 265-270, ISBN 978-1-5090-1889-5
Editore: IEEE
DOI: 10.1109/ITSC.2016.7795565