CORDIS

EU research results

CORDIS

Interdisciplinary Training Network in Multi-Actuated Ground Vehicles

Fact Sheet

Reporting

Results

Objective

"The main target of the ITEAM project is to establish and sustainably maintain the European training network with high grade of interdisciplinarity, which will train strong specialists skilled in research and development of novel technologies in the field of multi-actuated ground vehicles (MAGV). The global goals are: (i) Advance of European postgraduate education in the area of environment- and user-friendly vehicle technologies that highly demanded by the European industry and society; (ii) Reinforcement of cooperation between academia and industry to improve career perspectives of talented graduates in both public and private sectors; (iii) Creation of strong European research and innovation group making determinant contributions to next generations of multi-actuated ground vehicles. To achieve the project objectives, the consortium unites 11 beneficiaries and 5 partner organizations from 9 European countries including 7 universities, 2 research centres, and 7 non-academic organizations. Distinctive feature of the ITEAM network is the concept of interaction of three research clusters: ""MAGV integration"", ""Green MAGV"", ""MAGV Driving Environment"". Within these clusters, the training concept will be based on intersectoral cooperation and will cover domains of (i) basic research, (ii) applied research, and (iii) experimentations. The ITEAM project will provide the first-of-its kind European training network in Ground Vehicles at doctorate level to fill up the niche in private sector and industry with researcher-practitioners. The proposed network will be developed as innovative, multidisciplinary, engineering product-oriented and project-based program to train the scientists by integrating cutting-edge research methods of ground vehicles, electric/mechatronic systems, environmental engineering and applied intelligent control. The ITEAM network measures will guarantee excellent career prospects for participating researchers both in industrial and academic sectors."

Programme(s)

H2020-EU.1.3.1. - Fostering new skills by means of excellent initial training of researchers

Topic(s)

MSCA-ITN-2015-ETN - Marie Skłodowska-Curie Innovative Training Networks (ITN-ETN)

Call for proposal

H2020-MSCA-ITN-2015

See other projects for this call

Funding Scheme

MSCA-ITN-ETN - European Training Networks

Leaflet | Map data © OpenStreetMap contributors, Credit: EC-GISCO, © EuroGeographics for the administrative boundaries

Coordinator

TECHNISCHE UNIVERSITAET ILMENAU

Address

Ehrenbergstrasse 29
98693 Ilmenau

Germany

Activity type

Higher or Secondary Education Establishments

EU Contribution

€ 498 432,96

Website

Contact the organisation

Participants (10)

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AVL LIST GMBH

Austria

EU Contribution

€ 255 934,08

COVENTRY UNIVERSITY

United Kingdom

EU Contribution

€ 273 287,88

FLANDERS MAKE VZW

Belgium

EU Contribution

€ 250 560

INFINEON TECHNOLOGIES AG

Germany

EU Contribution

€ 249 216,48

KATHOLIEKE UNIVERSITEIT LEUVEN

Belgium

EU Contribution

€ 250 560

SKODA AUTO A.S.

Czechia

EU Contribution

€ 232 422,48

UNIVERSITA DEGLI STUDI DI PAVIA

Italy

EU Contribution

€ 258 061,32

UNIVERSITE DE TECHNOLOGIE DE COMPIEGNE

France

EU Contribution

€ 525 751,20

Kompetenzzentrum - Das Virtuelle Fahrzeug, Forschungsgesellschaft mbH

Austria

EU Contribution

€ 511 868,16

VOLVO PERSONVAGNAR AB

Sweden

EU Contribution

€ 527 318,64

Partners (5)

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IPG Automotive GmbH

JAGUAR LAND ROVER LIMITED

TECHNISCHE UNIVERSITEIT DELFT

THE UNIVERSITY OF LIVERPOOL

USTAV TEORIE INFORMACE A AUTOMATIZACE AV CR VVI

Project information

ITEAM

Grant agreement ID: 675999

Project website

Status

Ongoing project

Start date

1 January 2016
End date

31 December 2019

Funded under:

H2020-EU.1.3.1.

Overall budget:

€ 3 833 413,20
EU contribution

€ 3 833 413,20

Coordinated by:

TECHNISCHE UNIVERSITAET ILMENAU

Germany

Periodic Reporting for period 1 - ITEAM (Interdisciplinary Training Network in Multi-Actuated Ground Vehicles)

Reporting period: 2016-01-01 to 2017-12-31

Summary of the context and overall objectives of the project

"The ITEAM network is aimed at establishing and sustainably maintaining the European training network with high grade of interdisciplinarity by training strong specialists to research and develop cutting-edge technologies in the field of multi-actuated ground vehicle (MAGV). In this framework, the ITEAM consortium sets out to foster the development of new hardware and software solutions to enhance the driving performance, to improve the vehicle safety and to reduce the pollutants emissions. In concert with the research goals, the consortium will also guarantee a sound and effective collaboration between the academia and industry in order to improve the career perspectives of the talented graduates.
Distinctive feature of the ITEAM network is the concept of interaction of three research clusters: ""MAGV integration"", mainly aimed at developing subsystems for active control of the chassis and the powertrain; ""Green MAGV"", focused on the development of innovative solutions to improve the efficiency and to reduce the emissions of MAGV; ""MAGV Driving Environment"" that deals with the realisation of semi-autonomous and fully automated driving of MAGV. In particular, the research effort involved in three clusters stems from fifteen individual projects that will lead to as much doctoral thesis. All the participants will be trained in the domains of control engineering and computational intelligence, vehicle dynamics and human machine interface, assessment of the proposed solutions by means of the development of virtual and real testing facilities for MAGV.
To achieve the project objectives, the consortium draws upon 11 beneficiaries and 10 partner organisations. The ITEAM participants have put together an efficient research and training network characterised both by harmonious partners' complementarity and synergetic cooperation in terms of development of MAGV innovations.
"

Work performed from the beginning of the project to the end of the period covered by the report and main results achieved so far

Progress beyond the state of the art and expected potential impact (including the socio-economic impact and the wider societal implications of the project so far)

Project information

ITEAM

Grant agreement ID: 675999

Project website

Status

Ongoing project

Start date

1 January 2016
End date

31 December 2019

Funded under:

H2020-EU.1.3.1.

Overall budget:

€ 3 833 413,20
EU contribution

€ 3 833 413,20

Coordinated by:

TECHNISCHE UNIVERSITAET ILMENAU

Deliverables

Documents, reports (4)

The first year dissemination report

Intermediate report about the actual dissemination results of the project.

Advertising process report

Document summarizing the approach and describing the tools for advertising ESR vacancies available within ITEAM network

Recruitment process report

Document introducing outcomes of the recruitment process with the analysis of eventual problems arisen, gender aspects, candidates ranking et al.

The second year dissemination report

Intermediate report about the actual dissemination results of the project

Websites, patent fillings, videos etc. (1)

Publications

Conference proceedings (17)

Pedestrian in the Loop: An approach using flying drones

Author(s): Michael Hartmann, Hernan Abaunza, Pedro Castillo, Michael Stolz, Daniel Watzenig

Published in: 2018

A multi-rate ISM approach for robust vehicle stability control during cornering

Author(s): E. Regolin, M. Zambelli, A. Ferrara

Published in: Proceedings of the 15th IFAC Symposium on Control in Transportation Systems (CTS 2018), 2018

Uncertainty Quantification in Motion Planning

Author(s): Michael Hartmann, Edoardo Patelli, Marco de Angelis, Daniel Watzenig, Michael Stolz

Published in: Proc. of NAFEMS World Congress, 2017

Context embedded energy efficient driving

Author(s): Zlatan Ajanovic, Michael Stolz, Martin Horn

Published in: 10th Graz Symposium VIRTUAL VEHICLE, 2017

DOI: 10.13140/RG.2.2.25371.57123

Design of Interface in Co-Simulation for Electric Power Assisted Steering System Development.

Author(s): Weitao Chen, Shenhai Ran, Bengt Jacobson

Published in: 14th International Symposium on Advanced Vehicle Control (AVEC), 2018

Comparison of Steering Feel Control Strategies in Electric Power Assisted Steering

Author(s): Tushar Chugh, Fredrik Bruzelius, Matthijs Klomp, Barys Shyrokau

Published in: 2018 14th International Symposium on Advanced Vehicle Control (AVEC), 2018

Search-based optimal motion planning for automated driving

Author(s): Ajanovic, Zlatan; Lacevic, Bakir; Shyrokau, Barys; Stolz, Michael; Horn, Martin

Published in: Intelligent Robots and Systems, 2018. IROS 2018. IEEE/RSJ International Conference on, Issue 1, 2018

Tire particle emissions: Demand on reliable characterization

Author(s): Dalmau, Eugenia; Augsburg, Klaus; Wenzel, Felix; Ivanov, Valentin

Published in: Proc. of the 36th Annual Meeting and Conference on Tire Science and Technology, Issue 1, 2017

DOI: 10.5281/zenodo.1004103

Wheel Forces Estimation via Adaptive Sub-Optimal Second Order Sliding Mode Observers

Author(s): Enrico Regolin; Massimo Zambelli; Antonella Ferrara

Published in: ICAT 2017 Conference Proceedings, 2017

DOI: 10.5281/zenodo.1035158

Integration and Analysis of EPAS and Chassis System in FMI-based Co-Simulation

Author(s): Weitao Chen, Shenhai Ran, Bengt Jacobson

Published in: Proceedings of the 13th International Modelica Conference, Issue 157, 2019

Highly Skilled Autonomous Vehicles

Author(s): Manuel Acosta Reche; Stratis Kanarachos; Mike V Blundell

Published in: Proc. of Vehicle Dynamics and Control Conference, Issue 1, 2017

DOI: 10.13140/RG.2.2.13594.03524

Estimation of tire forces, road grade, and road bank angle using tire model-less approaches and Fuzzy Logic

Author(s): Manuel Acosta Reche; Angel Gabriel Alatorre Vazquez; Stratis Kanarachos; Alessandro Correa Victorino; Ali Charara

Published in: Proc.of 20th IFAC World Congress, Issue 1, 2017

DOI: 10.5281/zenodo.1009047

A Novel Approach for the Estimation of the Brake Friction Coefficient for Environmental and Safety Control Applications

Author(s): Vincenzo Ricciardi; Klaus Augsburg; Valentin Ivanov

Published in: Proc. of Eurobrake 2017, Issue 1, 2017

DOI: 10.5281/zenodo.854628

A novel model-based heuristic for energy optimal motion planning for automated driving

Author(s): Ajanovic, Z., Stolz, M. and Horn, M.

Published in: Proceedings of the 15th IFAC Symposium on Control in Transportation Systems (CTS 2018), 2018

Pedestrian in the Loop: An approach using virtual reality

Author(s): Michael Hartmann; Marco Viehweger; Wim Desmet; Michael Stolz; Daniel Watzenig

Published in: Proc. of 2017 XXVI International Conference on Information, Communication and Automation Technologies (ICAT),, Issue 1, 2017

DOI: 10.5281/zenodo.1014486

Safe learning-based optimal motion planning for automated driving

Author(s): Ajanovic, Zlatan; Lacevic, Bakir; Stettinger, Georg; Watzenig, Daniel; Horn, Martin

Published in: ICML/IJCAI/AAMAS 2018 Workshop on Planning and Learning (PAL-18), Issue 1, 2018

SVM Classification and Kalman Filter Based Estimation of the Tire-Road Friction Curve

Author(s): Enrico Regolin; Antonella Ferrara

Published in: Proceedings of The 20th World Congress of the International Federation of Automatic Control (IFAC 2017), 2017

DOI: 10.5281/zenodo.1008993

Other (7)

Pedestrian in the Loop for Safety

Author(s): Michael Hartmann

Published in: 2018

Driver distraction while performing a secondary task evaluation approach based on fuzzy expert system

Author(s): Andrei Aksjonov; Pavel Nedoma; Valery Vodovozov; Eduard Petlenkov; Martin Herrmann

Published in: 10th Graz Symposium VIRTUAL VEHICLE, Issue 27 June 2017, 2017

DOI: 10.5281/zenodo.1008983

Energy-efficient autopilot: Energy-efficient driving in a dynamic environment

Author(s): Zlatan Ajanovic, Michael Stolz, Martin Horn

Published in: Virtual Vehicle Magazine, Issue 24, 2017, Page(s) 36-37

Motion Planning with Pedestrians

Author(s): Michael Hartmann

Published in: 2017

Highly Skilled Autonomous Off road Vehicles

Author(s): Manuel Acosta Reche; Stratis Kanarachos

Published in: Automotive Electronics Systems Innovation Network Conference, Issue 1, 2017

DOI: 10.13140/RG.2.2.17653.88800

Robust Motion Planning with pedestrians

Author(s): Michael Hartmann

Published in: 2017

Pedestrian in the Loop with Cloud Systems

Author(s): Michael Hartmann

Published in: 2018

Peer reviewed articles (10)

Estimation of Wheel-Ground Contact Normal Forces: Experimental Data Validation

Author(s): V. A Alatorre, A. Victorino, A. Charara

Published in: IFAC-PapersOnLine, Issue 50/1, 2017, Page(s) 14843-14848, ISSN 2405-8963

DOI: 10.1016/j.ifacol.2017.08.2584

A Novel Driver Performance Model Based on Machine Learning

Author(s): Andrei Aksjonov, Pavel Nedoma, Valery Vodovozov, Eduard Petlenkov, Martin Herrmann

Published in: IFAC-PapersOnLine, Issue 51/9, 2018, Page(s) 267-272, ISSN 2405-8963

DOI: 10.1016/j.ifacol.2018.07.044

Design of Regenerative Anti-Lock Braking System Controller for 4 In-Wheel-Motor Drive Electric Vehicle with Road Surface Estimation

Author(s): Andrei Aksjonov, Valery Vodovozov, Klaus Augsburg, Eduard Petlenkov

Published in: International Journal of Automotive Technology, Issue 19/4, 2018, Page(s) 727-742, ISSN 1229-9138

DOI: 10.1007/s12239-018-0070-8

Robust Virtual Sensing for Vehicle Agile Manoeuvring: A Tyre-Model-Less Approach

Author(s): Manuel Acosta, Stratis Kanarachos, Michael E. Fitzpatrick

Published in: IEEE Transactions on Vehicular Technology, Issue 67/3, 2018, Page(s) 1894-1908, ISSN 0018-9545

DOI: 10.1109/TVT.2017.2767942

Virtual tyre force sensors: an overview of tyre model-based and tyre model-less state estimation techniques

Author(s): M Acosta, S Kanarachos, M Blundell

Published in: Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, 2017, Page(s) 095440701772819, ISSN 0954-4070

DOI: 10.1177/0954407017728198

Estimation of Brake Friction Coefficient for Blending Function of Base Braking Control

Author(s): Vincenzo Ricciardi, Dzmitry Savitski, Klaus Augsburg, Valentin Ivanov

Published in: SAE International Journal of Passenger Cars - Mechanical Systems, Issue 10/3, 2017, Page(s) 774-785, ISSN 1946-4002

DOI: 10.4271/2017-01-2520

Detection and Evaluation of Driver Distraction Using Machine Learning and Fuzzy Logic

Author(s): Andrei Aksjonov, Pavel Nedoma, Valery Vodovozov, Eduard Petlenkov, Martin Herrmann

Published in: IEEE Transactions on Intelligent Transportation Systems, Issue Early Access, 2018, Page(s) 1-12, ISSN 1524-9050

DOI: 10.1109/tits.2018.2857222

Survey on Modelling and Techniques for Friction Estimation in Automotive Brakes

Author(s): Vincenzo Ricciardi, Klaus Augsburg, Sebastian Gramstat, Viktor Schreiber, Valentin Ivanov

Published in: Applied Sciences, Issue 7/9, 2017, Page(s) 873, ISSN 2076-3417

DOI: 10.3390/app7090873

Tire lateral force estimation and grip potential identification using Neural Networks, Extended Kalman Filter, and Recursive Least Squares

Author(s): Manuel Acosta, Stratis Kanarachos

Published in: Neural Computing and Applications, 2017, ISSN 0941-0643

DOI: 10.1007/s00521-017-2932-9

Optimization-based adaptive sliding mode control with application to vehicle dynamics control

Author(s): Antonella Ferrara, Gian Paolo Incremona, Enrico Regolin

Published in: International Journal of Robust and Nonlinear Control, 2018, ISSN 1049-8923

DOI: 10.1002/rnc.4105

Book chapters (3)

Longitudinal Vehicle Dynamics Control via Sliding Modes Generation

Author(s): Enrico Regolin, Gian Paolo Incremona, Antonella Ferrara

Published in: Sliding Mode Control of Vehicle Dynamics, 2017, Page(s) 33-76

DOI: 10.1049/PBTR005E_ch2

Model-based safety validation of the automated driving function highway pilot

Author(s): Halil Beglerovic, A. Ravi, N. Wikström, H.-M. Koegeler, A. Leitner, J. Holzinger

Published in: 8th International Munich Chassis Symposium 2017, 2017, Page(s) 309-329

DOI: 10.1007/978-3-658-18459-9_21

Energy-Efficient Driving in Dynamic Environment: Globally Optimal MPC-like Motion Planning Framework

Author(s): Zlatan Ajanović, Michael Stolz, Martin Horn

Published in: Advanced Microsystems for Automotive Applications 2017, 2018, Page(s) 111-122

DOI: 10.1007/978-3-319-66972-4_10

Thesis dissertations (2)

Co-simulation in Virtual Verification of Vehicles with Mechantronic Systems

Author(s): Weitao Chen

Published in: Licentiate thesis, 2019

Haptic Feedback Control Methods for Steering Systems

Author(s): Tushar Chugh

Published in: Thesis for the Degree of Licentiate of Engineering, 2019

Project information

ITEAM

Grant agreement ID: 675999

Project website

Status

Ongoing project

Start date

1 January 2016
End date

31 December 2019

Funded under:

H2020-EU.1.3.1.

Overall budget:

€ 3 833 413,20
EU contribution

€ 3 833 413,20

Coordinated by:

TECHNISCHE UNIVERSITAET ILMENAU

Project information

ITEAM

Grant agreement ID: 675999

Project website

Status

Ongoing project

Start date

1 January 2016
End date

31 December 2019

Funded under:

H2020-EU.1.3.1.

Overall budget:

€ 3 833 413,20
EU contribution

€ 3 833 413,20

Coordinated by:

TECHNISCHE UNIVERSITAET ILMENAU

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Last update: 7 March 2017

Record number: 198111

CORDIS

Objective

Coordinator

Participants (10)

Partners (5)

Project information

Periodic Reporting for period 1 - ITEAM (Interdisciplinary Training Network in Multi-Actuated Ground Vehicles)

Project information

Deliverables

Publications

Project information

Project information

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