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

Livrables

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.

Publications

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

Auteurs: Alicia Lotz, Fabian Faller, Ingo Siegert, Andreas Wendemuth
Publié dans: Elektronische Sprachsignalverarbeitung 2018: Tagungsband der 29. Konferenz, Numéro 90, 2018, Page(s) 208 - 215, ISBN 978-3-95908-128-3
Éditeur: TUDPress

Combining Multiple Views for Visual Speech

Auteurs: Zimmermann M., Mehdipour Ghazi M., Eekenel H.K. and Thiran J.P.
Publié dans: 14th International Conference on Audithory Visual Speech Processing (AVSP2017), 2017, ISSN 2308-975x
Éditeur: 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

Auteurs: Nikolaou, S., Bekiaris E. and Anund A
Publié dans: Proceedings of the 8th International Conference on Applied Human Factors and Ergonomics, 2017
Éditeur: 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

Auteurs: Dukic-Willstrand T., Anund A., Pereira Cocron M., Griesche S., Strand N., Troberg S., Zanovello L. and Nikolaou S.
Publié dans: Proceedings of 7th Transport Research Arena TRA 2018, 2018
Éditeur: TRA 2018

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

Auteurs: Anund A., Ahlström C and Hakansson Kjellman E.
Publié dans: 6th International Conference on Driver Distraction and Inattention, 2018
Éditeur: 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.

Auteurs: Lotz A., Ihme K., Wendemuth A., Charnoz A., Maroudis P and Dmitriev I.
Publié dans: 11th Language Resources and Evaluation Conference, 2018
Éditeur: LREC 2018

A flexible automotive systems architecture for next generation ADAS

Auteurs: Johannes Hiltscher, Phanindra Akulaa, Robin Streiter, Gerd Wanielik
Publié dans: Proceedings of 7th Transport Research Arena TRA 2018, 2018
Éditeur: 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.

Auteurs: Zanovello L., Nikolaou S., Symeonidis I., Manuzzi M.
Publié dans: International Forum on Advanced Microsystems for Automotive Applications (AMAA 2018), 2019
Éditeur: IFZ

Experiments for the development of a rider condition monitoring system

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

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

Auteurs: Allig C., Wanielik G.
Publié dans: 21st International Conference on Information Fusion (FUSION), 2018
Éditeur: FUSION

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

Auteurs: Mittal P., Bourne E., and Leinmueller T.
Publié dans: 22nd International Forum on Advanced Microsystems for Automotive Applications (AMAA 2018), 2018
Éditeur: EPOSS

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

Auteurs: Oliviera L., Cardoso J. S., Lourenco A. R., Ahlström C.
Publié dans: 7th European Workshop on Visual Information Processing, 2018
Éditeur: IEEE Finland

Learn to synthesize and syntesize to learn

Auteurs: Bozorgtabar B., Saeed Rad M., Kemal Ekenel H., Thiran J.P.
Publié dans: Elsevier journal of Computer Vision and Image Understanding (CVIU), 2019
Éditeur: Elsevier

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

Auteurs: Axelson M., Ahlström C., Krupenia S., Anund A., Leeuwen W., Kecklund G.
Publié dans: 24th Congress of the European Sleep Research Society, 2018
Éditeur: ESRS: European Sleep Research Society

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

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

Cooperative Perception and Generation of Synthetic Data by Extending Artery

Auteurs: Allig C. and Wanielik G
Publié dans: Kleinheubacher Tagung 2018, 2018
Éditeur: Kleinheubacher Tagung 2018

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

Auteurs: Phanindra Akula S.V.N., Krupenia S., Nikolaou S., Bekiaris A. and Wanielik G.
Publié dans: ITS World Congress, 2018
Éditeur: ERTICO - ITS World Congress

A Framework for Personalised HMI interaction in ADAS systems

Auteurs: Lilis Y., Zidianakis E., Partarakis N., Ntoa S. and Stephanidis C
Publié dans: 5th International Conference on Vehicle Technology and Intelligent Transport Systems (VEHITS 2019), 2019
Éditeur: VEHITS

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

Auteurs: Lotz A., Wilbrink M., Siegert I., Jipp M., Wendemuth A. and Ihme K.
Publié dans: 7th Interdisziplinären Workshop – Kognitive Systeme: Mensch, Teams, Systeme und Automation, 2018
Éditeur: DLR

Alignment of Perception Information for Cooperative Perception

Auteurs: Allig C. and Wanielik G.
Publié dans: 30th IEEE Intelligent Vehicles Symposium (IV 2019), 2019
Éditeur: IEEE

Dynamic Dissemination Method for Collective Perception

Auteurs: Allig C. and Wanielik G.
Publié dans: IEEE Intelligent Transportation Systems Conference (ITSC 2019), 2019
Éditeur: ITSC

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

Auteurs: Silviera C. S., Cardoso J. S., Lourenco A. R., Ahlström C
Publié dans: IET Intelligent Transport Systems, 2018
Éditeur: IET Intelligent Transport Systems

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

Auteurs: 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.
Publié dans: ITS World Congress, 2018
Éditeur: ERTICO - ITS World Congress

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

Auteurs: Yannis Lilis, Emmanouil Zidianakis, Nikolaos Partarakis, Margherita Antona, Constantine Stephanidis
Publié dans: Universal Access in Human–Computer Interaction. Design and Development Approaches and Methods, Numéro Vol 10277, 2017, Page(s) 383-401, ISBN 978-3-319-58706-6
Éditeur: Springer International Publishing
DOI: 10.1007/978-3-319-58706-6_31

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

Auteurs: Musabini A., Nguyen K., Rouyer R., Lilis Y.
Publié dans: MDPI MTI Journal, 2020, ISSN 2414-4088
Éditeur: Multimodal Technologies Interact.

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

Auteurs: Anna Persson, Hanna Jonasson, Ingemar Fredriksson, Urban Wiklund, Christer Ahlstrom
Publié dans: IEEE Transactions on Intelligent Transportation Systems, 2020, Page(s) 1-10, ISSN 1524-9050
Éditeur: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tits.2020.2981941

Machine Learning-Assisted Affect Labelling of Speech Data

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

Recherche de données OpenAIRE...

Livrables

Publications

Partager cette page

Télécharger