CORDIS proporciona enlaces a los documentos públicos y las publicaciones de los proyectos de los programas marco HORIZONTE.
Los enlaces a los documentos y las publicaciones de los proyectos del Séptimo Programa Marco, así como los enlaces a algunos tipos de resultados específicos, como conjuntos de datos y «software», se obtienen dinámicamente de OpenAIRE .
Resultado final
The deliverable will focus on advanced acquisition that collect enough information to address multiple and acquired by partners during the project to supply useful data sets for other work packages.It will also provide detailed on common partner installations that will acquire data during the project.Task involved: 2.3
Stratification of population according to driving styles (se abrirá en una nueva ventana)The Deliverable consists of the description of types of driver reaction patterns based on the observation and analysis of a driver survey conducted in T1.2. It contains a description of the collected data and analysis method as well as brief profiles of the driving types.Task involved: T1.2.
Criteria definition for the selection of Safety Tests (se abrirá en una nueva ventana)Here the scope of deliverable is to identify a set of scenarios that can be used to validate a humanized driving approach form the safety point of vuiew. An expected outcome is a document containing scenario selection criteria, scenario description and rationalsTask related T5.1.
Report on dissemination, communication activities, and materials (I) (se abrirá en una nueva ventana)Summary of the D&C activities including and assessment of the outcomes.Task involved: T6.3.
Influencing the parameters that determine driving and outputs of the model (se abrirá en una nueva ventana)This deliverable will contain the state of the art on the factors (i.e. situational, personal) that influence driving and how they will be taken into account for the development of the DBM.Task involved: 1.3
Use cases for the identification of the model (se abrirá en una nueva ventana)This deliverable will present the methodology to select use cases and their associated scenarios for building DBM. It will contain the selected use cases and scenarios. Task involved: 1.1
Identification of the vehicle parameters concerning the driver modelling approach (se abrirá en una nueva ventana)This deliverable will consider major modeling factors such as speed, distance from the vehicle in front, and reaction time according to the distance to the vehicle in front should be considered in various road driving conditions. In particular, it is necessary to ensure safety when changing lanes for automated driving. Nonetheless, the main indicators will be identified and adjusted to prevent a collision on within signalized intersection, whether the acceleration or deceleration can be safely adjusted like a human driver. Key indicators include whether it is possible to safely prevent collisions when changing lanes. Related task: T1.4.
Updated methodology for basic simulation environment (se abrirá en una nueva ventana)The deliverable will focus on simulation acquisition that mixed a sufficient set of signals defined in the D2.1 and acquired by partners during the project, to supply mandated data sets for other project tasks.It will also provide detailed on common partner installations that will acquire data during the project.Task involved: 2.2
Definition of the model framework and its individual modules (se abrirá en una nueva ventana)Framework defining the driver model and integration of the perceptual, risk Awareness, decision-making affective and motor modules and definition of the outputs in relation with the vehicle response concerning drivers’ perception and reaction. This deliverable will be developed during the first 6 months of T1.5 and it will be the basis for model specifications in coordination with T1.1,T1.2,T1.3 and T1.4.Related tasks: T1.1,T1.2,T1.3, T1.4. and T1.5.
Updated methodology for real field of tests (se abrirá en una nueva ventana)The aim of this deliverable is to describe the defined methodology to perform FOTs with the target of collecting the different requirements necessary for each aspect of the human driver modelling. The used acquisition equipment, defined users´ profiles or extracted signals to get the required information will be a clear indicator of the target fulfilling.The content will be based on the FOTs performed in task T2.4.Task related: T2.4.
This deliverable refers to computer files representing 3D static traffic environments. The files must be readable from the CARLA simulator to create a traffic map in which vehicles and pedestrians can be deployed to perform driving simulations. Related task: T4.1.
Runnable scenario scripts for CARLA simulator (se abrirá en una nueva ventana)The goal of this deliverable is to specify and realize a set of specific test cases relevant to validate and demonstrate humanized driving approach of the project. An expected concrete outcome consists of a document that includes the list of scenarios with rational for each one. This document is associated to a list of files in a common format (OpenScenario or other) that can be directly used with CARLA simulator to execute the use caseTask related T4.2.
BERTHA Data Format and Common Acquisition Principles (se abrirá en una nueva ventana)The deliverable will provide the best adapted formats to share and exchange acquisition data during the project.It will also describe how are generally acquired unitary signals thanks to existing equipment categories, and how it is necessary to process to obtain useable acquisitions: time reference, space reference, ...Task involved: 2.1
BERTHA data model (se abrirá en una nueva ventana)The deliverable will provide an exhaustive list of associated concepts with the project. Each concept must have a common unique accepted definition and is defined in terms of qualitative or quantitative characteristics such as types, formats, states, ... that can be enumerated.Task involved: 2.1
A fully-operated website will be released, following a responsive design so any device connected to the internet will display it correctly. The website will include information on the project’s scope, consortium and work packages. It will need to be periodically updated with the latest project activities, results and publications. Moreover, the project’s promotional materials and public deliverables should be available on it. As the central communication tool of the project, it will link to its social media channels, newsletters, events, etc.Task involved: T6.2.
This deliverable will specify what data the BERTHA project will generate and/or use, and what steps will be taken to ensure data management is GDPR compliant based on the different types of data collected.Task involved: 6.4
Data Management Plan (DMP) (I) (se abrirá en una nueva ventana)This deliverable will specify what data the BERTHA project will generate and/or use, and what steps will be taken to ensure data management is GDPR compliant based on the different types of data collected.Task involved: 6.4
Publicaciones
Autores:
Dorota Młynarczyk, Gabriel Calvo, Francisco Palmi-Perales, Carmen Armero, Virgilio Gómez-Rubio, Úrsula Martínez-Iranzo
Publicado en:
2025
Editor:
Available only on arXiv
DOI:
10.48550/ARXIV.2502.03254
Autores:
Ana De La Torre - García, Úrsula Martínez - Iranzo, Gema Prats Boluda, Miguel Ángel Serrano Rosa, José Luis Martínez De Juan, Cristina Herrera Ligero
Publicado en:
AHFE International, Human Interaction and Emerging Technologies (IHIET-AI 2025): Artificial Intelligence and Future Applications, Edición 161, 2025
Editor:
AHFE International
DOI:
10.54941/AHFE1005939
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