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Automation as accepted and trustful teamMate to enhance traffic safety and efficiency

Deliverables

Security, safety and legal issues and plans for 2nd cycle

Will describe all results from Task 1.4 after Milestone 2

TeamMate Car Demonstrator after 2nd Cycle

Report and demonstrator of the TeamMate Car Demonstrator as a result of T5.4 at Mile-stone 4 incl. test results from T5.5

Definition of framework, scenarios and requirements

Will describe all results from Task 1.1, 1.2 and 1.3 at Milestone 1

Definition of framework, scenarios and requirements incl. KPIs & Baseline for 3rd cycle

Will describe all results from Task 1.1, 1.2 and 1.3 at Milestone 4

Concepts and algorithms incl. V&V results from 2nd cycle

Will describe the trajectory planning, execution & learning and the online risk assessment as results of the Tasks 3.3, 3.4 and 3.5 at the end of the 2nd cycle.

TeamMate Extension SDK

Report and prototype of the results of T5.1, T5.3 and T5.6

TeamMate System Architecture incl. open API for 3rd Cycle

Report of the results of T5.1 and T5.2.

Results of comparative evaluation after 2nd cycle

Report on the results of T6.3 at M4 incl. an assessment of the Project Objectives in T6.5.

Concepts and algorithms incl. V&V results from 3rd cycle

Will describe the trajectory planning, execution & learning and the online risk assessment as results of the Tasks 3.3, 3.4 and 3.5 at the end of the 3rd cycle.

TeamMate System Architecture incl. open API for 2nd Cycle

Report of the results of T5.1 and T5.2.

TeamMate HMI design, implementation and V&V results from 1st cycle

Will describe all results from the Tasks 4.2 - 4.5 at the end of the 1st cycle.

TeamMate Car Demonstrator after 3rd Cycle

Report and demonstrator of the TeamMate Car Demonstrator as a result of T5.4 at Mile-stone 6 incl. test results from T5.5

Security, safety and legal issues and plans for 3rd cycle

Will describe all results from Task 1.4 after Milestone 4

Sensor Platform and Models incl. V&V results from 2nd cycle

Will describe all results of Tasks 2.2 - 2.5 at the end of the 2nd cycle.

Metrics & Experiments for V&V of the driver, vehicle and situation models in the 3rd cycle

Will describe the results of Task 2.1 at the beginning of the 3rd cycle.

Sensor Platform and Models incl. V&V results from 1st cycle

Will describe all results of Tasks 2.2 - 2.5 at the end of the 1st cycle.

Real vehicle Baseline Cars

Report and prototype of the Baseline Car as a result of T5.4.

Definition of framework, scenarios and requirements incl. KPIs & Baseline for 2nd cycle

Will describe all results from Task 1.1, 1.2 and 1.3 after Milestone 2

Metrics and plan for V&V of the TeamMate HMI software in the 2nd cycle

Will describe the results of Task 4.1 at the beginning of the 2nd cycle.

Metrics & plan for V&V of TeamMate HMI software 1st cycle

Will describe the results of Task 4.1 at the beginning of the 1st cycle.

Results of comparative evaluation after 3rd cycle

Report on the results of T6.4 at M6 incl. an assessment of Project Objectives T6.5.

Metrics and plan for V&V of the concepts and algorithms in the 2nd cycle

Will describe the results of Task 3.1 at the beginning of the 2nd cycle.

Metrics & Experiments for V&V of the driver, vehicle and situation models in the 2nd cycle

Will describe the results of Task 2.1 at the beginning of the 2nd cycle.

TeamMate HMI design, implementation and V&V results from 2nd cycle

Will describe all results from the Tasks 4.2 - 4.5 at the end of the 2nd cycle.

Simulated Baseline Cars

Report and prototype of the Baseline Car as a result of T5.4.

Metrics and Experiments for V&V of the driver, vehicle and situation models in the 1st cycle

Will describe the results of Task 2.1 at the beginning of the 1st cycle.

Metrics and plan for V&V of the concepts and algorithms in the 1st cycle

Will describe the results of Task 3.1 at the beginning of the 1st cycle.

Metrics and plan for V&V of the TeamMate HMI software in the 3rd cycle

Will describe the results of Task 4.1 at the beginning of the 3rd cycle.

TeamMate HMI design, implementation and V&V results from 3rd cycle

Will describe all results from the Tasks 4.2 - 4.5 at the end of the 3rd cycle.

Metrics and plan for V&V of the concepts and algorithms in the 3rd cycle

Will describe the results of Task 3.1 at the beginning of the 3rd cycle.

Security, safety and legal issues and plans for 1st cycle

Will describe all results from Task 1.1, 1.2 and 1.3 at Milestone 1

Concepts and algorithms incl. V&V results from 1st cycle

Will describe the trajectory planning, execution & learning and the online risk assessment as results of the Tasks 3.3, 3.4 and 3.5 at the end of the 1st cycle.

Catalogue of basic driving manoeuvres and associated task distributions

Will describe the results of Task 3.2 at the beginning of the 1st cycle.

Sensor Platform and Models incl. V&V results from 3rd cycle

Will describe all results of Tasks 2.2 - 2.5 at the end of the 3rd cycle.

Research Data

The data produced during the evaluations will be made available to the public.

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Publications

Workshop on Human Machine Interaction in Autonomous Vehicles - the Perspective of the Two Current HORIZON 2020 Projects ADAS&ME and AUTOMATE

Author(s): Fabio Tango, Roberto Montanari, Andreas Luedtke, Martin Baumann, Frederik Diederichs, Anna Anund, Andrea Castellano, Stefania Vacca
Published in: Proceedings of the 9th International Conference on Automotive User Interfaces and Interactive Vehicular Applications Adjunct - AutomotiveUI '17, 2017, Page(s) 33-38
DOI: 10.1145/3131726.3131730

DriveGOMS - Fahrermodellierung und formale Beschreibung von Fahrerverhalten

Author(s): Käthner, David; Ihme, Klas; Drewitz, Uwe
Published in: AAET - Automatisiertes und vernetztes Fahren, Issue 1, 2018

"A ""driver-more"" approach to vehicle automation"

Author(s): Andrea Castellano, Serena Fruttaldo, Elisa Landini, Roberto Montanari, Andreas Luedtke
Published in: Humanist conference, 2018

Is your request just this? New automation paradigm to reduce the requests of transition without increasing the effort of the driver

Author(s): Andrea Castellano, Serena Fruttaldo, Elisa Landini, Roberto Montanari, Andreas Luedtke
Published in: ITS World Congress, 2018

Tutorial: How does your HMI Design affect the visual attention of the driver?

Author(s): Sebastian Feuerstack, Bertram Wortelen
Published in: ACM International Conference on Automotive User Interfaces and Interactive Vehicular Applications,, 2017
DOI: 10.5281/zenodo.1227101

A Model-driven Tool for getting Insights into Car Drivers' Monitoring Behavior

Author(s): Sebastian Feuerstack, Bertram Wortelen
Published in: IEEE Intelligent Vehicles Symposium (IV’17), 2017

Predicting Visual Attention is not an easy Task – even for Experts!,

Author(s): Sebastian Feuerstack, Bertram Wortelen
Published in: 60h Conference of Experimental Psychologists, 2018
DOI: 10.23668/psycharchives.913

Investigating the Influences of Time to Collision and Closing Speed on Driver Uncertainty in Lane Change Maneuvers

Author(s): Fei Yan, Martin Baumann
Published in: 60th Conference of experimental Psychologists, 2018

Task distribution in highly automated driving: The car and the driver as a cooperative team partner in the driving task

Author(s): Jurgen Pichen, Martin Baumann
Published in: 51st Congress of the German Psychological Society, 2018

First Workshop on Trust in the Age of Automated Driving

Author(s): Lewis Chuang, Philipp Wintersberger, Alexander Mirnig, Shailie Thakkar, Fei Yan, Thomas Gable, Johannes Kraus, Rod mcCall
Published in: ACM International Conference on Automotive User Interfaces and Interactive Vehicular Applications, 2017

Understanding Automation: Interfaces that facilitate user understanding of vehicle automation

Author(s): Martin Baumann, Dietrich Manstetten, Susanne Boll
Published in: ACM International Conference on Automotive User Interfaces and Interactive Vehicular Applications, 2017

Comparing the Input Validity of Model-based Visual Attention Predictions based on presenting Exemplary Situations either as Videos or Static Images

Author(s): Bertram Wortelen, Sebastian Feuerstack
Published in: 15th International Conference on Cognitive Modelling, 2017
DOI: 10.5281/zenodo.3600158

A Model-Based Motion Planning Framework For Automated Vehicles

Author(s): Maximilian Graf, Oliver Speidel, Klaus Dietmayer
Published in: IEEE Intelligent Vehicle 2019, 2019

Trajectory Planning for Automated Vehicles using Driver Models;

Author(s): Maximilian Graf, Oliver Speidel, Julius Ziegler, Klaus Dietmayer
Published in: IEEE Intelligent Transportation Systems Conference - ITSC 2018, 2018

Investigating Initial Driver Intention on Overtaking on Rural Roads

Author(s): Fei Yan (lead), Mark Eilers, Lars Weber, Martin Baumann
Published in: IEEE Intelligent Transportation Systems Conference - ITSC 2019, 2019

Spatial Visualization of Sensor Information for Automated Vehicles

Author(s): Fei Yan, Shyukryan Karaosmanoglu, Aslihan Demir, Martin Baumann
Published in: ACM Automotive User Interface and Vehicular Communication (AutoUI), 2019

Trajectory Planning for Automated Vehicles in Overtaking Scenarios

Author(s): Maximilian Graf, Oliver Speidel, Klaus Dietmayer
Published in: IEEE Intelligent Vehicle 2019, 2019

Un nuovo paradigma di interazione per la guida autonoma: il progetto AutoMate

Author(s): Castellano, Andrea; Landini, Elisa; Montanari, Roberto
Published in: Ital-IA - Convegno Nazionale CINI sull'intelligenza artificiale, Issue 1, 2019
DOI: 10.5281/zenodo.3514919

Cognitively Inspired Automobiles: a new cooperative framework for addressing Autonomy in Teams

Author(s): Lynda Halit, Fabio Tango, Elisa Landini, Andrea Castellano, Martin Baumanm
Published in: IJCAI-ECAI 2018, the 27th International Joint Conference on Artificial Intelligence and the 23rd European Conference on Artificial Intelligence, 2018

Stuck behind a truck - a cooperative interaction design approach to efficiently cope with the limitations of automated systems

Author(s): Jürgen Pichen, Martin Baumann, Tanja Stoll
Published in: Proceedings of the 11th International Conference on Automotive User Interfaces and Interactive Vehicular Applications Adjunct Proceedings - AutomotiveUI '19, 2019, Page(s) 199-204
DOI: 10.1145/3349263.3351519

The Human Efficiency Evaluator – A tool to predict and analyse monitoring behaviour

Author(s): Sebastian Feuerstack, Bertram Wortelen
Published in: Kognitive Systeme, 2017, ISSN 2197-0343
DOI: 10.17185/duepublico/44532

A Tool-based Process for Generating Attention Distribution Predictions

Author(s): Feuerstack, Sebastian Wortelen, Bertram
Published in: Journal of Eye Movement Research, 2017, ISSN 1995-8692
DOI: 10.16910/jemr.10.6

Relevance of vehicular communication in the TeamMate concept

Author(s): Ádám Knapp, Zoltán Jakó
Published in: Acta perdiodica, 2018, ISSN 1450-7188

Vehicular Communication – a technical overview

Author(s): Zoltan Jakó, Ádám Knapp, Lajos Nagy, András Kovács
Published in: Cooperative Intelligent Transport Systems: Towards High-Level Automated Driving, 2019

Dynamic Bayesian networks for driver-intention recognition based on the traffic situation

Author(s): Mark Eilers, Elham Fathiazar, Stefan Suck, Daniel Twumasi
Published in: Cooperative Intelligent Transport Systems: Towards High-Level Automated Driving, 2019