Deliverables Documents, reports (22) Development Methodology Report 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 Publications Conference proceedings (7) "Abstracts 3. Kongress der Fachgruppe Verkehrspsychologie ""Mehr Mensch im Verkehr?"" bei der Universität des Saarlands, Lehrstuhl für Empirische Bildungsforschung" Author(s): Vollrath, Mark Published in: 2019 Publisher: Universität des Saarlandes DOI: 10.24355/dbbs.084-201901141432-0 From the perspective of other road users: Acceptance of automated cars Author(s): Bernhard Schrauth, Walter Funk, Clemens Kraetsch Published in: Proceedings of TRA2020, the 8th Transport Research Arena: Rethinking transport – towards clean and inclusive mobility, 2020, Page(s) 73, ISBN 978-952-311-484-5 Publisher: Finnish Transport and Communications Agency Traficom The PREVENTION Challenge: How Good Are Humans Predicting Lane Changes? Author(s): Quintanar, A.; Izquierdo, R.; Parra, I.; Fernández-Llorca, D.; Sotelo, M. A. Published in: Issue 2, 2020 Publisher: IEEE DOI: 10.1109/iv47402.2020.9304640 3D-DEEP: 3-Dimensional Deep-learning based on elevation patterns for road scene interpretation Author(s): A. Hernandez, S. Woo, H. Corrales, I. Parra, E. Kim, D. F. Llorca, M. A. Sotelo Published in: 2020 IEEE Intelligent Vehicles Symposium (IV), 2020, Page(s) 892-898, ISBN 978-1-7281-6673-5 Publisher: IEEE DOI: 10.1109/iv47402.2020.9304601 RNN-based Pedestrian Crossing Prediction using Activity and Pose-related Features Author(s): Lorenzo, Javier; Parra, Ignacio; Wirth, Florian; Stiller, Christoph; Llorca, David Fernandez; Sotelo, Miguel Angel Published in: Issue 2, 2020 Publisher: IEEE Intelligent Vehicle Symposium 2020 A brief report on young adults views on automated driving Author(s): Niklas Strand, Alexander Eriksson Published in: 2018 Publisher: IHSED Trust and acceptance of contemporary vehicle automation: A multi-country, on-road assessment Author(s): Alexander Eriksson, Ignacio Solís Marcos, Niklas Strand, Florent Anon, Alain Piperno, Katarina Mozina, Anders Lindström Published in: 2018 Publisher: IHSED Non-peer reviewed articles (1) Fail-Aware LIDAR-Based Odometry for Autonomous Vehicles Author(s): Iván García Daza, Mónica Rentero, Carlota Salinas Maldonado, Ruben Izquierdo Gonzalo, Noelia Hernández Parra, Augusto Ballardini, David Fernandez Llorca Published in: Sensors, Issue 20/15, 2020, Page(s) 4097, ISSN 1424-8220 Publisher: Multidisciplinary Digital Publishing Institute (MDPI) DOI: 10.3390/s20154097 Thesis dissertations (1) Report on the findings of the population survey Author(s): Schrauth, Bernhard; Maier, Sarah; Kraetsch, Clemens; Funk, Walter Published in: Issue 1, 2020 Publisher: Zenodo DOI: 10.5281/zenodo.4247395 Peer reviewed articles (1) Pedestrian Path, Pose, and Intention Prediction Through Gaussian Process Dynamical Models and Pedestrian Activity Recognition Author(s): Raul Quintero Minguez, Ignacio Parra Alonso, David Fernandez-Llorca, Miguel Angel Sotelo Published in: IEEE Transactions on Intelligent Transportation Systems, Issue 20/5, 2019, Page(s) 1803-1814, ISSN 1524-9050 Publisher: Institute of Electrical and Electronics Engineers DOI: 10.1109/tits.2018.2836305 Book chapters (2) Driving automation and its effects on drivers – a human factor perspective Author(s): Anna Anund, Ignacio Solis Marcos, Niklas Strand Published in: Cooperative Intelligent Transport Systems: Towards high-level automated driving, Issue 1, 2019, Page(s) 87-103, ISBN 9781839530128 Publisher: 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 Author(s): Clemens Kraetsch, Gabriella Eriksson, Niklas Strand, Florent Anon, Jan-Paul Leuteritz, Bernhard Schrauth Published in: Enhanced Trustworthiness and End User Acceptance of Conditionally Automated Vehicles in the Transition Period, Issue 1, 2021, Page(s) 25-43, ISBN 978-3-030-60860-6 Publisher: Springer International Publishing DOI: 10.1007/978-3-030-60861-3_2 Searching for OpenAIRE data... 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