BRidging gaps for the adoption of Automated VEhicles

Leistungen

Report that describes a methodology for development process for vehicle-driver interaction and driver monitoring concepts. Requirements in terms of use cases, scenarios and success criteria, the systems to be developed in WP3 are specified.

Detailed Terms of Reference for Mirror Groups

This report will defined the mirror group rules, membership and action plan

Results and HMI recommendations based on on road testing

The Report will describe the realized tests and the new equipment used, the results for better predicting the intentions of VRUs and drivers as well as the user evaluation of the HMI. The deliverable will contain the report but also the demonstrators used for the evaluation and test protocols

Results and HMI recommendations based on virtual prototyping

Results from the virtual prototyping and recommendations on which HMI’s to proceed with based on user and stakeholder requirements. The deliverable also includes the virtual prototypes that has been considered during the evaluation

Methodology for Vehicles and VRUs prediction of intentions

Report describing the variables and procedures to be used for learning the prediction of intentions of vehicles and VRUs, as well as for testing and assessment

Report on the findings of the population survey

In BRAVE a user-centric perspective will be adopted and is the premise for the work in other WPs. The analysis of the population survey results will therefore unveil needs, expectations and concerns on the individual level among drivers and other road users with a special focus on vulnerable road users (cf. T2.4). A special research issue in the WP2 focuses on social and cultural factors that shape individual attitudes and behavioural intentions towards the technology of automated vehicles. The detailed evaluation of socio-demographic and socio-economic subgroups in the population survey will shed light on different user-specific expectations. Gender issues will be covered prominently. Also mobility-specific comparisons (e.g. such as between car drivers and vulnerable road users) are of interest. These analyses give way for the targeted user-specific development of automated vehicles that yields the acceptance by all members of the society. The deliverable refers to the final consolidated version, but interim versions will be released in month M12 and M18 following BRAVE's agile, iterative and incremental approach. Furthermore the survey will incorporate questions to identify the most relevant scenarios and use cases of SoA automated driving system, which will be defined in T3.1 of WP3. The results of the survey will serve as guideline for subsequent tasks in WP3 and WP4

Communication Action Plan

Definition of the dissemination and communication action plan

Report and documentation regarding of Final demonstrator

Documentation of the final demonstrator including the evaluation of the participants experience of the BRAVE concept demonstrated

Report on literature review

Report that summarizes the scientific knowledge regarding the ethical, legal, social, road safety and economic implications of the advent of automated vehicles as expressed in the current literature (cf. T2.1). Furthermore this report will include the findings of the exploration of gender issues in the acceptance of automated vehicles (cf. T2.2)

Publication of BRAVE Guidelines

This report will define the mirror group rules, membership and action plan

Vehicle Interaction and Driver Monitoring: Functional Prototypes

The demonstrators for the final demonstration are realized and available for MS2, 3, and 5. In WP5 these demonstrators are then evaluated.

Driver Monitoring Concept Report

Summarizes the process and results of iteratively developed concepts for driver monitoring concepts

Vehicle-VRU Interaction Concept Report

Report that summarizes the process and results of iteratively developed concepts for vehicle-driver-interaction

Conclusions and recommendations on test targets and protocols

The evaluations from all prototypes and stages will be summarized in this final report, as well as a synthesis and conclusion of recommendations for evaluation and new requirements proposed to Euro NCAP and normalization and regulation working groups for methodology, protocols and equipment.

Model for the prediction of vehicles intentions

Report describing the module developed for predicting the intentions of vehicles. A preliminary version will be released on month M18

Model for the prediction of VRUs intentions

Report describing the module developed for predicting the intentions of VRUs. A preliminary version will be released on month M18

Vehicle-Driver Interaction Concept Report

Summarizes the process and results of iteratively developed concepts for vehicle-driver-interaction.

Communication toolkit, including project logo & public website

This report will include information and actions required in the action plan defined at the beginning of the project

Test methodology and use case specification

Detailed specification of the use cases to be used in testing, study design and measures to be used throughout the project.

Assessment of the effectiveness of Vehicles and VRUs prediction of intentions

Report describing the final results after the experimental phase for the two prediction systems to be developed in this work package (vehicles and VRUs). Assessment will be conducted against the defined use cases.

Report on the findings of the expert online survey

The expert survey among relevant stakeholders will additionally reflect the requirements of automated vehicles from the institutional level (cf. T2.3). Statements from different stakeholder groups will be juxtaposed and compared. The deliverable refers to the final consolidated version, but interim versions will be released in month M12 and M18 following BRAVE's agile, iterative and incremental approach

Vehicles and VRUs database

Exhaustive database containing thousands of examples describing vehicles and VRUs actions in real life traffic. This database will be the basis for developing the prediction systems

Veröffentlichungen

"Abstracts 3. Kongress der Fachgruppe Verkehrspsychologie ""Mehr Mensch im Verkehr?"" bei der Universität des Saarlands, Lehrstuhl für Empirische Bildungsforschung"

Autoren: Vollrath, Mark
Veröffentlicht in: 2019
Herausgeber: Universität des Saarlandes
DOI: 10.24355/dbbs.084-201901141432-0

From the perspective of other road users: Acceptance of automated cars

Autoren: Bernhard Schrauth, Walter Funk, Clemens Kraetsch
Veröffentlicht in: Proceedings of TRA2020, the 8th Transport Research Arena: Rethinking transport – towards clean and inclusive mobility, 2020, Seite(n) 73, ISBN 978-952-311-484-5
Herausgeber: Finnish Transport and Communications Agency Traficom

The PREVENTION Challenge: How Good Are Humans Predicting Lane Changes?

Autoren: Quintanar, A.; Izquierdo, R.; Parra, I.; Fernández-Llorca, D.; Sotelo, M. A.
Veröffentlicht in: Ausgabe 2, 2020
Herausgeber: IEEE
DOI: 10.1109/iv47402.2020.9304640

3D-DEEP: 3-Dimensional Deep-learning based on elevation patterns for road scene interpretation

Autoren: A. Hernandez, S. Woo, H. Corrales, I. Parra, E. Kim, D. F. Llorca, M. A. Sotelo
Veröffentlicht in: 2020 IEEE Intelligent Vehicles Symposium (IV), 2020, Seite(n) 892-898, ISBN 978-1-7281-6673-5
Herausgeber: IEEE
DOI: 10.1109/iv47402.2020.9304601

RNN-based Pedestrian Crossing Prediction using Activity and Pose-related Features

Autoren: Lorenzo, Javier; Parra, Ignacio; Wirth, Florian; Stiller, Christoph; Llorca, David Fernandez; Sotelo, Miguel Angel
Veröffentlicht in: Ausgabe 2, 2020
Herausgeber: IEEE Intelligent Vehicle Symposium 2020

A brief report on young adults views on automated driving

Autoren: Niklas Strand, Alexander Eriksson
Veröffentlicht in: 2018
Herausgeber: IHSED

Trust and acceptance of contemporary vehicle automation: A multi-country, on-road assessment

Autoren: Alexander Eriksson, Ignacio Solís Marcos, Niklas Strand, Florent Anon, Alain Piperno, Katarina Mozina, Anders Lindström
Veröffentlicht in: 2018
Herausgeber: IHSED

Fail-Aware LIDAR-Based Odometry for Autonomous Vehicles

Autoren: Iván García Daza, Mónica Rentero, Carlota Salinas Maldonado, Ruben Izquierdo Gonzalo, Noelia Hernández Parra, Augusto Ballardini, David Fernandez Llorca
Veröffentlicht in: Sensors, Ausgabe 20/15, 2020, Seite(n) 4097, ISSN 1424-8220
Herausgeber: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/s20154097

Report on the findings of the population survey

Autoren: Schrauth, Bernhard; Maier, Sarah; Kraetsch, Clemens; Funk, Walter
Veröffentlicht in: Ausgabe 1, 2020
Herausgeber: Zenodo
DOI: 10.5281/zenodo.4247395

Pedestrian Path, Pose, and Intention Prediction Through Gaussian Process Dynamical Models and Pedestrian Activity Recognition

Autoren: Raul Quintero Minguez, Ignacio Parra Alonso, David Fernandez-Llorca, Miguel Angel Sotelo
Veröffentlicht in: IEEE Transactions on Intelligent Transportation Systems, Ausgabe 20/5, 2019, Seite(n) 1803-1814, ISSN 1524-9050
Herausgeber: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tits.2018.2836305

Driving automation and its effects on drivers – a human factor perspective

Autoren: Anna Anund, Ignacio Solis Marcos, Niklas Strand
Veröffentlicht in: Cooperative Intelligent Transport Systems: Towards high-level automated driving, Ausgabe 1, 2019, Seite(n) 87-103, ISBN 9781839530128
Herausgeber: Institution of Engineering and Technology
DOI: 10.1049/pbtr025e_ch5

Bridging Gaps for the Adoption of Automated Vehicles—BRAVE Aspects for TrustVehicles—Development of Innovative HMIs to Increase Acceptance

Autoren: Clemens Kraetsch, Gabriella Eriksson, Niklas Strand, Florent Anon, Jan-Paul Leuteritz, Bernhard Schrauth
Veröffentlicht in: Enhanced Trustworthiness and End User Acceptance of Conditionally Automated Vehicles in the Transition Period, Ausgabe 1, 2021, Seite(n) 25-43, ISBN 978-3-030-60860-6
Herausgeber: Springer International Publishing
DOI: 10.1007/978-3-030-60861-3_2

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