Adaptive ADAS to support incapacitated drivers Mitigate Effectively risks through tailor made HMI under automation

Risultati finali

Project Final report

It includes the description of the key achievements and outcomes of the project.

Use Case test results consolidation

It includes the results of the evaluation per use case identified in WP1.

ADAS&ME Ethics Manual

It includes the Ethics Manual that will be followed for the project evaluation activities.

Dissemination and international cooperation plan

It includes the dissemination and external/ international cooperation plans that will be updated yearly as necessary

Dissemination and international cooperation plan - Annual update 2

This is the 2nd yearly update of the dissemination and international cooperation plan.

Data management plan - Update

Update of D10.2 Data management plan

Evaluation framework

It includes the framework for the evaluation activities of the project. Update M24

Report on project dissemination and international collaboration activites - Update 1

The first update of D9.2 Report on project dissemination and international collaboration activites.

ADAS&ME Quality Assurance Plan

It includes the plan for the internal quality assessment of project outcomes (mainly for project deliverables) supervised by the Quality Control Board described in Section 3.2.1 of Part B Section 1-3.

Evaluation framework - Final

The final update of D7.1 Evaluation Framework

Business and exploitation plans

It includes the business cases and the plan for the exploitation of project products.

Report on project dissemination and international collaboration activites - 2nd update

The 2nd update of D9.2 Report on project dissemination and international collaboration activites.

Impact Assessment

It includes the impact assessment study of the project in relation to key and secondary impacts.

Data management plan

It includes the planning of the data management activities for the pool of data that will be collected within the project.

Report on project dissemination and international cooperation activities

It includes the dissemination and external/ international cooperation activities that will be performed in the project and updated at a yearly basis.

Driver/ Rider models, Use Cases and implementation scenarios

Includes the results of the driver/rider state models of A1.3, as well as the procedure for the identification, prioritisation and selection of the project Use cases including the stakeholders input (A1.2, A1.4)

SoA and Benchmarking

Perform a thorough state-of-the-art analysis for the technologies addressed in ADAS&ME and a benchmark the key findings.

Pubblicazioni

Emotion Recognition from Disturbed Speech – Towards Affective Computing in Real-World In-Car Environments

Autori: Alicia Lotz, Fabian Faller, Ingo Siegert, Andreas Wendemuth
Pubblicato in: Elektronische Sprachsignalverarbeitung 2018: Tagungsband der 29. Konferenz, Numero 90, 2018, Pagina/e 208 - 215, ISBN 978-3-95908-128-3
Editore: TUDPress

Combining Multiple Views for Visual Speech

Autori: Zimmermann M., Mehdipour Ghazi M., Eekenel H.K. and Thiran J.P.
Pubblicato in: 14th International Conference on Audithory Visual Speech Processing (AVSP2017), 2017, ISSN 2308-975x
Editore: KTH

Driver state monitoring in automation; developing adaptive ADAS to support safe transitions under automation, Proceedings of the 8th International Conference on Applied Human Factors and Ergonomics

Autori: Nikolaou, S., Bekiaris E. and Anund A
Pubblicato in: Proceedings of the 8th International Conference on Applied Human Factors and Ergonomics, 2017
Editore: AHFE, LA-USA

Collecting end-users needs regarding driver state-based automation in the ADAS&ME project. Proceedings of 7th Transport Research Arena TRA 2018

Autori: Dukic-Willstrand T., Anund A., Pereira Cocron M., Griesche S., Strand N., Troberg S., Zanovello L. and Nikolaou S.
Pubblicato in: Proceedings of 7th Transport Research Arena TRA 2018, 2018
Editore: TRA 2018

Stress and sleepiness in city bus drivers - an explorative study on real roads within the ADAS&ME project.

Autori: Anund A., Ahlström C and Hakansson Kjellman E.
Pubblicato in: 6th International Conference on Driver Distraction and Inattention, 2018
Editore: DDI 2018

Recognizing Behavioral Factors while Driving: A Real-World Multimodal Corpus to Monitor the Driver's Affective State. 11th Language Resources and Evaluation Conference.

Autori: Lotz A., Ihme K., Wendemuth A., Charnoz A., Maroudis P and Dmitriev I.
Pubblicato in: 11th Language Resources and Evaluation Conference, 2018
Editore: LREC 2018

A flexible automotive systems architecture for next generation ADAS

Autori: Johannes Hiltscher, Phanindra Akulaa, Robin Streiter, Gerd Wanielik
Pubblicato in: Proceedings of 7th Transport Research Arena TRA 2018, 2018
Editore: Proceedings of 7th Transport Research Arena TRA 2018

Assistance and Mitigation Strategies in Case of Impaired Motorcycle Riders: The ADAS&ME Case Study. In: Dubbert J., Müller B., Meyer G. (eds) Advanced Microsystems for Automotive Applications.

Autori: Zanovello L., Nikolaou S., Symeonidis I., Manuzzi M.
Pubblicato in: International Forum on Advanced Microsystems for Automotive Applications (AMAA 2018), 2019
Editore: IFZ

Experiments for the development of a rider condition monitoring system

Autori: Symeonidis I., Nikolaou S., Touliou K., Gaitatzi O., Chrysochoou E., Bekiaris E., Xochelli A., Manuzzi M., Guseo T., Zanovello L.and Georgoulas G
Pubblicato in: Proceedings of the 12th International Motorcycle Conference 2018, 2018
Editore: IFZ

Heteregeneous Track-to-track Fusion using equivalent measurement and unscented transform

Autori: Allig C., Wanielik G.
Pubblicato in: 21st International Conference on Information Fusion (FUSION), 2018
Editore: FUSION

Adaptation Layer Based Hybrid Communication Architecture: Practical Approach in ADAS&ME

Autori: Mittal P., Bourne E., and Leinmueller T.
Pubblicato in: 22nd International Forum on Advanced Microsystems for Automotive Applications (AMAA 2018), 2018
Editore: EPOSS

Driver drowsiness detection: a comparison between intrusive and non-intrusive signal acquisition methods

Autori: Oliviera L., Cardoso J. S., Lourenco A. R., Ahlström C.
Pubblicato in: 7th European Workshop on Visual Information Processing, 2018
Editore: IEEE Finland

Learn to synthesize and syntesize to learn

Autori: Bozorgtabar B., Saeed Rad M., Kemal Ekenel H., Thiran J.P.
Pubblicato in: Elsevier journal of Computer Vision and Image Understanding (CVIU), 2019
Editore: Elsevier

Is it possible to adjust the driving and resting times when operating highly autonomous trucks?

Autori: Axelson M., Ahlström C., Krupenia S., Anund A., Leeuwen W., Kecklund G.
Pubblicato in: 24th Congress of the European Sleep Research Society, 2018
Editore: ESRS: European Sleep Research Society

Persson A., Jonasson H., Fredriksson I., Wiklund U. and Ahlström, C

Autori: Heart Rate Variability for Driver Sleepiness Classification in Real Road Driving Conditions
Pubblicato in: 41st Annual International Conference of the Engineering in Medicine and Biology Society (EMBC 2019), 2019
Editore: Engineering in Medicine and Biology Society

Cooperative Perception and Generation of Synthetic Data by Extending Artery

Autori: Allig C. and Wanielik G
Pubblicato in: Kleinheubacher Tagung 2018, 2018
Editore: Kleinheubacher Tagung 2018

ADAS&ME System Architecture: The automotive systems architecture for next-generation ADAS

Autori: Phanindra Akula S.V.N., Krupenia S., Nikolaou S., Bekiaris A. and Wanielik G.
Pubblicato in: ITS World Congress, 2018
Editore: ERTICO - ITS World Congress

A Framework for Personalised HMI interaction in ADAS systems

Autori: Lilis Y., Zidianakis E., Partarakis N., Ntoa S. and Stephanidis C
Pubblicato in: 5th International Conference on Vehicle Technology and Intelligent Transport Systems (VEHITS 2019), 2019
Editore: VEHITS

An Experimental Paradigm for Inducing Emotions in a Real World Driving Scenario: Evidence from Self-Report, Annotation of Speech Data and Peripheral Physiology

Autori: Lotz A., Wilbrink M., Siegert I., Jipp M., Wendemuth A. and Ihme K.
Pubblicato in: 7th Interdisziplinären Workshop – Kognitive Systeme: Mensch, Teams, Systeme und Automation, 2018
Editore: DLR

Alignment of Perception Information for Cooperative Perception

Autori: Allig C. and Wanielik G.
Pubblicato in: 30th IEEE Intelligent Vehicles Symposium (IV 2019), 2019
Editore: IEEE

Dynamic Dissemination Method for Collective Perception

Autori: Allig C. and Wanielik G.
Pubblicato in: IEEE Intelligent Transportation Systems Conference (ITSC 2019), 2019
Editore: ITSC

The importance of subject-dependent classification and imbalanced class distributions in driver sleepiness detection in realistic conditions

Autori: Silviera C. S., Cardoso J. S., Lourenco A. R., Ahlström C
Pubblicato in: IET Intelligent Transport Systems, 2018
Editore: IET Intelligent Transport Systems

An HMI Framework for Driver/Rider States Adaptive Transitions and ADAS

Autori: Knauss A., Diederichs F., Wilbrink M., Lilis Y., Chrysochoou E., Anund A., Bekiaris A., Nikolaou S., Finer S., Zanovello L., Maroudis P., Krupenia S., Abser A., Dimokas N., Apoy C., Karlsson J., Larsson A., Zidianakis E., Efa A., Widlroither H., Teichmann D., Sanatnama H. and Wendemuth A.
Pubblicato in: ITS World Congress, 2018
Editore: ERTICO - ITS World Congress

Personalizing HMI Elements in ADAS Using Ontology Meta-Models and Rule Based Reasoning

Autori: Yannis Lilis, Emmanouil Zidianakis, Nikolaos Partarakis, Margherita Antona, Constantine Stephanidis
Pubblicato in: Universal Access in Human–Computer Interaction. Design and Development Approaches and Methods, Numero Vol 10277, 2017, Pagina/e 383-401, ISBN 978-3-319-58706-6
Editore: Springer International Publishing
DOI: 10.1007/978-3-319-58706-6_31

Influence of Adaptive Human–Machine Interface on Electric-Vehicle Range-Anxiety Mitigation

Autori: Musabini A., Nguyen K., Rouyer R., Lilis Y.
Pubblicato in: MDPI MTI Journal, 2020, ISSN 2414-4088
Editore: Multimodal Technologies Interact.

Heart Rate Variability for Classification of Alert Versus Sleep Deprived Drivers in Real Road Driving Conditions

Autori: Anna Persson, Hanna Jonasson, Ingemar Fredriksson, Urban Wiklund, Christer Ahlstrom
Pubblicato in: IEEE Transactions on Intelligent Transportation Systems, 2020, Pagina/e 1-10, ISSN 1524-9050
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tits.2020.2981941

Machine Learning-Assisted Affect Labelling of Speech Data

Autori: Requardt A., Egorow O., Wendemuth
Pubblicato in: 31st edition of the (International) Conference on Electronic Processing of Speech Signals (Elektronische > Sprachsignalverarbeitung), 2020, ISBN 978-3-95908-193-1
Editore: Elektronische > Sprachsignalverarbeitung)

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