Skip to main content
Ir a la página de inicio de la Comisión Europea (se abrirá en una nueva ventana)
español es
CORDIS - Resultados de investigaciones de la UE
CORDIS

Integrated 4D driver modelling under uncertainty

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

Experimental data relevant to model development (se abrirá en una nueva ventana)

Open-access GitHub repository containing data that have been measured in field experiments and have informed the development of the model. With the data, various hypotheses and assumptions are tested before they are integrated into the model. Linked to task 5.2

Experimental data relevant to model validation (se abrirá en una nueva ventana)

After the model development, field experiments are performed to test the models in specific situations and compare i4Driving model predictions with measured driving behaviours. An Open-access GitHub repository will include data that are measured in field experiments and passed to the validation framework. Linked to task 5.3

Harmonized, annotated, and processed data in usable format (se abrirá en una nueva ventana)

Open-access GitHub repository containing converted data from various sources, available in the OpenSCENARIO and the CommonRoad format. Linked to task 1.1.

Human driver models used for safety and traffic/energy efficiency evaluation (se abrirá en una nueva ventana)

The document published in an open access GitHub repository includes two aspects: (i) the quality of the 4D human driver model is evaluated and compared to current models available to simulate human driver behaviors, (ii) the newly developed 4D human driver model is applied for safety and efficiency evaluation (in a mixed traffic environment). In this respect, travel time and energy consumption are comparison criteria, among other things. Linked to task 6.6

Specification of the scenario description language, and conversion tool (se abrirá en una nueva ventana)

This deliverable contains: 1) a documentation of a scenario description language specification, specifying the language concept, the language grammar, and the conversion approach to the ASAM OpenX format, 2) a documentation detailing the conversion toolchain development for converting the scenarios described in the scenario description language in point 1 to the ASAM OpenX standards. Linked to task 6.2

Human driver models as baseline for consumer testing campaigns of ADS (se abrirá en una nueva ventana)

A document published in an open access GitHub repository will describe:a) the execution of concrete scenarios using, as ego vehicle, either the ADS and the human driver models in order to compare their behaviours. b) the execution of a set of scenarios using an integrated human driver model + ADS/ADAS unit as ego vehicle to demonstrate that the human driver models can be used for ADS/ADAS testing (not fully automated functions). Linked to task 6.4

Integrated LC with social interactions and HF models – theory and principles (se abrirá en una nueva ventana)

Paper / report, published on an open access GitHub repository, on new simulation models for integrated lane changing (LC) and car following (CF) that include additional Human Factors which are expected to increase the predictive power of human driver models. These HFs include social interactions (tailgating, getting/staying out-of-the-way) and effects of perception errors (e.g. underestimating gaps) and response adaptation (e.g. reducing desired speed). Linked to task 2.3

Dissemination and exploitation plan update (se abrirá en una nueva ventana)

Update/revised dissemination and exploitation plan, including communication activities). Linked to task 7.1

Critical review of state-of-the-art techniques to model drivers’ heterogeneity (se abrirá en una nueva ventana)

A report published on an open access GitHub repository will detail the state-of-the-art techniques applied in Traffic Flow Theory and Human Factors literatures to model inter- and intra-driver heterogeneity. Linked to task 4.1

Research Data Management Plan 2 (se abrirá en una nueva ventana)

Second update of the research data management plan. Linked to task 8.4

Integrated LC with social interactions and HF models – verification and calibration (se abrirá en una nueva ventana)

A report uploaded on an open access GitHub repository detailing the scrutinized competing approaches, assumptions, model formulations and parameter structures, and the results of model verification and calibration. Linked to task 2.4

Experimental setup for the driving simulator experiments (se abrirá en una nueva ventana)

A report published on open access GitHub repository, describing the experimental design of the driving simulator experiments. This includes description of which use cases will be studied, in which driving simulator, and descriptions of the driving simulator scenarios. Linked to task 3.1

Methods to harmonize data on human driving performance from different datasets (se abrirá en una nueva ventana)

A report uploaded on an open access GitHub repository detailing developed methods to translate data into different formats (for instance, map information of traffic scenes is stored in different formats, such as OpenDRIVE or lanelets). Converters will be able to convert all data into a single format for a streamlines evaluation. This is linked to task 1.1.

Project Quality Handbook (se abrirá en una nueva ventana)

Develop a Project Quality Handbook (including risk assessment plan, ethics and GDPR) and annual quality reviews. This will be developed in M1, revised and updated in M36. Linked to task 8.3

Research Data Management Plan 1 (se abrirá en una nueva ventana)

Develop the Data Management Plan by M6 and revise in M18 and M36, which follows the FAIR data principles making project data/research outputs findable, accessible, interoperable and reusable. Linked to task 8.4

Report on dissemination activities, including cooperation with other projects (se abrirá en una nueva ventana)

This report summarises the dissemination activities, stating the details of individual items, partners’ contribution, impact, and how they compare with the original plan. Linked to task 7.2, 7.3, and 7.4

Map of the heterogeneity of human/external factors into driving behaviour perform. (se abrirá en una nueva ventana)

A report published on an open access GitHub repository describing the analysis of the results from the driving simulator experiments. This includes mapping the results and findings with respect to the heterogeneity of human/external factors. Linked to task 3.2

Research Data Management Plan 3 (se abrirá en una nueva ventana)

Final update of the research data management plan. Linked to task 8.4

Project Quality Handbook update (se abrirá en una nueva ventana)

Updated project quality handbook. Linked to task 8.3

White paper (se abrirá en una nueva ventana)

A documentation describes the project development process within the project, and provides guidelines on how the work can be used in ADS development and policy making. Linked to task 7.5

Final booklet (se abrirá en una nueva ventana)

Develop the final booklet summarising the main project results, outputs and tools in an easy-to-read and concise format. Linked to task 7.5

Causal relationships between human/external factors and human driving behaviors: modelling requirements & framework of testable hypotheses (se abrirá en una nueva ventana)

A report published on an open-source GitHub repository detailing key requirements and testable hypotheses for the modelling framework developed in WP2 geared towards credible and plausible modelling outcomes from an HF perspective. Major categories of testable hypotheses examined are awareness, cognitive workload and tactical driving strategies. Linked to task 1.3

Dissemination and exploitation plan update final (se abrirá en una nueva ventana)

Final update of the dissemination and exploitation plan. Linked to task 7.1

Project glossary (se abrirá en una nueva ventana)

Develop a project glossary which contains a summary of all main acronyms, terms and definitions relevant for the project. This will be developed in M1, reviewed and updated in M24. Linked to task 8.2

i4Driving Framework design & modeling and coding design principles (se abrirá en una nueva ventana)

A document and/or reference published on an open access GitHub repository that describes the conceptual and mathematical principles of the microsimulation software (OTS/Aimsun) used in the project in terms of scope and behavioral principles (key assumptions, abstractions and simplifications); numerical solutions (approximation/solution methods, vehicle & infra/graph representation, time/event-queue handling, etc.) and software design principles (naming and coding conventions, data/project management, version management, etc.). Linked to task 2.1

Methods to extract statistically significant relationships between human/external factors and driver behavioral mechanisms, in uncritical and critical situations (se abrirá en una nueva ventana)

A report uploaded on an open access GitHub repository detailing the selection and use of specific machine learning techniques for identifying the statistically significant relationships between factors and behaviours. Linked to task 1.2.

Exploitation plans for each partner (se abrirá en una nueva ventana)

An exploitation plan details of the i4Driving outcome for CCAM stakeholders (ADS developers, regulators, certification bodies, consumers etc). It will liaise with various international standardisation and regulatory bodies. This is linked to task 7.6

Implementation framework of the scenario-based evaluation workflow (se abrirá en una nueva ventana)

This deliverable is the documentation of the development of the scenario based evaluation framework, including all the sub-elements of the framework, and how the framework can be implemented and executed in simulation environment. This is linked to task 6.1.

Project Management Handbook (se abrirá en una nueva ventana)

Develop an internal handbook to establish and define clear rules/ procedures for communication, contractual, financial and administrative management aspects. Linked to taska 8.1 and 8.2

Methodology and results: relevant use cases and safety-critical scenarios (se abrirá en una nueva ventana)

This deliverable is to identify the relevant use cases and safety critical scenarios for evaluating the human driver model and the target applications. Using an hazard based testing approach, this deliverable will generate scenarios and identify scenario parameter ranges. They will be in the form of documentation of the scenario generation methodology, and the actual generated scenarios uploaded to the Safety PoolTM scenario database. Linked to task 1.4

Sensitivity Auditing (se abrirá en una nueva ventana)

A technical self-sustaining report uploaded in an open access GitHub repository will describe the principles of sensitivity auditing, how these have been applied to the modelling activities of i4Driving, and relevant findings. Linked to task 2.5

Evaluation criteria and detailed description of field experiments (se abrirá en una nueva ventana)

A document published in an open access GitHub repository describing field experiments, including the definition of key driving performance indicators and how they are measured in the field experiments, the characterization of scenarios, necessary equipment, how many participants are needed to realistically replicate the scenarios, and how many experiments are needed to generate statistically valid results. Linked to task 5.1

Human driver models as baseline for PEARS (se abrirá en una nueva ventana)

Documentation on how the evaluation framework is used for the human driver model (from integrating with the model, to obtaining the scenarios, to establishing the evaluation criteria and executing the scenarios), it also contains the details of the evaluation results. This is linked to task 6.3

Project glossary update (se abrirá en una nueva ventana)

Updated project glossary. Linked to task 8.2

Dissemination and exploitation plan (including communication activities) (se abrirá en una nueva ventana)

This deliverable contains a detailed plan stating the dissemination and exploitation roadmap for the i4Driving project. It includes the responsibilities of each partner, the dissemination channels intend to use, together with a dissemination monitor/tracker. Dissemination and exploitation roadmap will include publications, presentations, inputs to standards and regulations. This will be done by M6 and revised in M18 and M36. Linked to task 7.1

Open-source library of validated probabilistic human driver behavioural models (se abrirá en una nueva ventana)

The library of validated probabilistic human driver behavioural models will be published open source on a GitHub repository. Linked to tasks 4.3 and 4.4.

Open-source library of techniques to encode drivers’ heterogeneity into models (se abrirá en una nueva ventana)

The software employed to estimate distributions and correlation structures of i4Driving model parameters will be published open-source on a GitHub repository. Linked to task 4.2

Validated ethics assessment plans and approval from Ethics committee (se abrirá en una nueva ventana)

A document published in an open access GitHub repository describing the ethics considerations for the driving simulator and real worlds test from the different test facilities. It also includes the approvals from the different national ethic committees. Linked to task 3.1

Website and social networks profiles (se abrirá en una nueva ventana)

Project website and social networks profiles designed and published online. Linked to task 7.2

Software for automatically increasing the criticality of scenarios (se abrirá en una nueva ventana)

Open-source GitHub repository containing a software that will alter the states of vehicles (by using optimization techniques), such that the solution space of the ego vehicle is reduced, thus creating a more critical scenario for that vehicle. The input to the software will be a traffic scene in the CommonRoad format. Linked to task 3.1

Open-source library of data mining techniques (se abrirá en una nueva ventana)

The software employed and adapted for the data mining research will be published on an open-source GitHub repository. Linked to task 1.2

Incremental versions of i4Driving / software library (se abrirá en una nueva ventana)

Open-source GitHub repository containing software versions. A version represents a major new release of the simulation software (e.g. version 1.0 or 2.1) including release notes, and e.g. updated examples, demo’s, documentation and unit tests. Linked to task 2.2

Open-source GitHub evaluation software toolchain (se abrirá en una nueva ventana)

OOpen source the language and conversion toolchain (including identifying the correct license) on Github, the deliverable will be a repository with required documentation. This is linked to task 6.1

Suite of unit tests for model development (se abrirá en una nueva ventana)

A (growing!) catalog / library of annotated testcases (code snippets) designed to identify, locate, and reproduce semantic errors, published in an open-source GitHub repository. This library is a safeguard in preventing re-occuring (resolved) bugs and errors and in making sure new releases/versions are backward compatible. Linked to task 2.1

Validated ethics assessment plan and approval from Ethics committee (se abrirá en una nueva ventana)

A document published in an open access GitHub repository describing the process of unification and validation of the ethics assessment plans from each partner executing experimental work in closed field tests. The document will also describe the comprehensive programme on Research Ethics at TUM (LfE), and the training possibly provided to the partners to support and ensure the familiarization process with conducting the type of experimental work required for this project. Linked to task 5.1

Demonstrator of five target applications (se abrirá en una nueva ventana)

Documentation on how the evaluation framework is used for different target applications (from integrating with the models, to obtaining the scenarios, to establishing the evaluation criteria and executing the scenarios), it also contains the details of the evaluation results and the thresholds/metrics used for each of the five target applications. This is linked to task 6.2

Publicaciones

Scenario Factory 2.0: Scenario-Based Testing of Automated Vehicles with CommonRoad (se abrirá en una nueva ventana)

Autores: Florian Finkeldei, Christoph Thees, Jan-Niklas Weghorn, Matthias Althoff
Publicado en: Automotive Innovation, Edición 8, 2025, ISSN 2096-4250
Editor: Springer Science and Business Media LLC
DOI: 10.1007/S42154-025-00360-0

Impact assessment culture in the European Union. Time for something new? (se abrirá en una nueva ventana)

Autores: Andrea Saltelli, Marta Kuc-Czarnecka, Samuele Lo Piano, Máté János Lőrincz, Magdalena Olczyk, Arnald Puy, Erik Reinert, Stefán Thor Smith, Jeroen P. van der Sluijs
Publicado en: Environmental Science & Policy, Edición 142, 2025, ISSN 1462-9011
Editor: Elsevier BV
DOI: 10.1016/J.ENVSCI.2023.02.005

An annotated timeline of sensitivity analysis (se abrirá en una nueva ventana)

Autores: arantola S., F. Ferretti, S. Lo Piano, M. Kozlova, A. Lachi, R. Rosati, A. Puy, P. Roy, G. Vannucci, M. Kuc-Czarnecka and Saltelli, A.
Publicado en: Elsevier, in Environmental Modelling & Software 174, Edición Elsevier, in Environmental Modelling & Software 174, 2024, ISSN 1873-6726
Editor: Elsevier
DOI: 10.1016/j.envsoft.2024.105977

Accident Analysis and Prevention (se abrirá en una nueva ventana)

Autores: Ahlström, C., Kircher, K., Johansson, F., Andersson, A. Olstam, J.
Publicado en: Elsevier (Accident Analysis & Prevention), 2025, ISSN 0001-4575
Editor: Pergamon Press Ltd.
DOI: 10.1016/J.AAP.2025.108276

Models and the common good (se abrirá en una nueva ventana)

Autores: Andrea Saltelli
Publicado en: Environmental Modelling & Software, Edición 188, 2025, ISSN 1364-8152
Editor: Elsevier BV
DOI: 10.1016/J.ENVSOFT.2025.106430

Bring digital twins back to Earth (se abrirá en una nueva ventana)

Autores: Andrea Saltelli, Gerd Gigerenzer, Mike Hulme, Konstantinos V. Katsikopoulos, Lieke A. Melsen, Glen P. Peters, Roger Pielke, Simon Robertson, Andy Stirling, Massimo Tavoni, Arnald Puy
Publicado en: WIREs Climate Change, Edición 15, 2024, ISSN 1757-7780
Editor: Wiley
DOI: 10.1002/WCC.915

What is Post-normal Science? A post-normal encounter (se abrirá en una nueva ventana)

Autores: Saltelli, A.
Publicado en: Springer, in Foundations of Science Journal, 2024, ISSN 1572-8471
Editor: Springer
DOI: 10.1007/s10699-023-09932-x

Unpacking uncertainty in the modelling process for energy policy making (se abrirá en una nueva ventana)

Autores: Lo Piano, S., Lőrincz, M. J., Puy, A., Pye, S., Saltelli, A., Smith, S. T., & van der Sluijs, J. P.
Publicado en: Wiley Periodicals LLC on behalf of Society for Risk Analysis, 2023, ISSN 1539-6924
Editor: Wiley Periodicals LLC on behalf of Society for Risk Analysis
DOI: 10.1111/risa.14248

Evaluating Driver Pedestrian Interactions Under Uncertainty:A Driving Simulator Study (se abrirá en una nueva ventana)

Autores: Maya Sekeran, Tanja Niels, Johannes Lindner, Klaus Bogenberger
Publicado en: Transportation Research Procedia, Edición 95, 2026, ISSN 2352-1465
Editor: Elsevier BV
DOI: 10.1016/J.TRPRO.2026.02.107

What is Post-normal Science? A Personal Encounter (se abrirá en una nueva ventana)

Autores: Andrea Saltelli
Publicado en: Foundations of Science, Edición 29, 2024, ISSN 1233-1821
Editor: Springer Science and Business Media LLC
DOI: 10.1007/S10699-023-09932-X

The challenge of quantification: an interdisciplinary reading (se abrirá en una nueva ventana)

Autores: Di Fiore, M., Kuc-Czarnecka, M., Lo Piano, S., Puy, A. and Saltelli, A.
Publicado en: Minerva, 2023, ISSN 1573-1871
Editor: Minerva
DOI: 10.1007/s11024-022-09481-w

Impact assessment culture in the European Union. Time for something new? (se abrirá en una nueva ventana)

Autores: Saltelli, A., Kuc-Czarnecka, M., Piano, S.L., Lőrincz, M.J., Olczyk, M., Puy, A., Reinert, E., Smith, S.T. and van Der Sluijs, J.P.
Publicado en: Elsevier - environmental science & policy, Edición Elsevier, in journal of Environmental Science & Policy, 142, pp.99-111, 2023, ISSN 1873-6416
Editor: Elsevier
DOI: 10.1016/j.envsci.2023.02.005

An annotated timeline of sensitivity analysis (se abrirá en una nueva ventana)

Autores: Stefano Tarantola, Federico Ferretti, Samuele Lo Piano, Mariia Kozlova, Alessio Lachi, Rossana Rosati, Arnald Puy, Pamphile Roy, Giulia Vannucci, Marta Kuc-Czarnecka, Andrea Saltelli
Publicado en: Environmental Modelling & Software, Edición 174, 2024, ISSN 1364-8152
Editor: Elsevier BV
DOI: 10.1016/J.ENVSOFT.2024.105977

Mathematical models: a state of exception (se abrirá en una nueva ventana)

Autores: Andrea Saltelli, Arnald Puy, Monica Di Fiore
Publicado en: International Review of Applied Economics, Edición 39, 2025, ISSN 0269-2171
Editor: Informa UK Limited
DOI: 10.1080/02692171.2024.2365727

Discrepancy Measures for Global Sensitivity Analysis (se abrirá en una nueva ventana)

Autores: Puy, Arnald; Roy, Pamphile T.; Saltelli, Andrea
Publicado en: Technometrics, 2024, ISSN 0040-1706
Editor: American Statistical Association
DOI: 10.48550/arxiv.2206.13470

Predicting Autonomous Driving Behavior through Human Factor Considerations in Safety-Critical Events (se abrirá en una nueva ventana)

Autores: Jamal Raiyn; Galia Weidl
Publicado en: MDPI - Smart Cities journal, Edición MDPI, in Smart Cities journal, 7(1), 460-474, 2024, ISSN 2624-6511
Editor: MDPI
DOI: 10.3390/SMARTCITIES7010018

Energy policy-making in the European Union between past and present (se abrirá en una nueva ventana)

Autores: Samuele Lo Piano, Andrea Saltelli
Publicado en: Energy Research & Social Science, Edición 127, 2026, ISSN 2214-6296
Editor: Elsevier BV
DOI: 10.1016/J.ERSS.2025.104296

The Challenge of Quantification: An Interdisciplinary Reading (se abrirá en una nueva ventana)

Autores: Monica Di Fiore, Marta Kuc-Czarnecka, Samuele Lo Piano, Arnald Puy, Andrea Saltelli
Publicado en: Minerva, Edición 61, 2023, ISSN 0026-4695
Editor: Springer Science and Business Media LLC
DOI: 10.1007/S11024-022-09481-W

Unpacking the modeling process for energy policy making (se abrirá en una nueva ventana)

Autores: Samuele Lo Piano, Máté János Lőrincz, Arnald Puy, Steve Pye, Andrea Saltelli, Stefán Thor Smith, Jeroen van der Sluijs
Publicado en: Risk Analysis, Edición 44, 2024, ISSN 0272-4332
Editor: Wiley
DOI: 10.1111/RISA.14248

Digital Twins of the Earth Between Vision and Fiction (se abrirá en una nueva ventana)

Autores: Andrea Saltelli, Lieke A. Melsen, Arnald Puy
Publicado en: Minerva, 2025, ISSN 0026-4695
Editor: Springer Science and Business Media LLC
DOI: 10.1007/S11024-025-09581-3

Predicting Autonomous Driving Behavior through Human Factor Considerations in Safety-Critical Events (se abrirá en una nueva ventana)

Autores: Jamal Raiyn, Galia Weidl
Publicado en: Smart Cities, Edición 7, 2025, ISSN 2624-6511
Editor: MDPI AG
DOI: 10.3390/SMARTCITIES7010018

What Can Mathematical Modelling Contribute to a Sociology of Quantification? (se abrirá en una nueva ventana)

Autores: Andrea Saltelli, Arnald Puy
Publicado en: SSRN Electronic Journal, 2022, ISSN 1556-5068
Editor: Elsevier BV
DOI: 10.2139/SSRN.4212453

Discrepancy Measures for Global Sensitivity Analysis (se abrirá en una nueva ventana)

Autores: Arnald Puy, Pamphile T. Roy, Andrea Saltelli
Publicado en: Technometrics, Edición 66, 2024, ISSN 0040-1706
Editor: Informa UK Limited
DOI: 10.1080/00401706.2024.2304341

Bilisters avsökningsbeteende i korsningar vid risk för konflikt med cyklister.

Autores: Ahlström, C., Kircher, K., Olstam, J., Johansson, F., & Andersson, A.
Publicado en: Transportforum, 2025
Editor: VTI

Transformer-Based Assessment of Driving Corridors for Motion Planning of Automated Vehicles (se abrirá en una nueva ventana)

Autores: Gerald Würsching, Tobias Mascetta, Sammy Breen, Matthias Althoff
Publicado en: 2025 IEEE 28th International Conference on Intelligent Transportation Systems (ITSC), 2026
Editor: IEEE
DOI: 10.1109/ITSC60802.2025.11423226

Interactive Driving Turing Test with Think-Aloud Protocol: How Realistic Are Behavioural Driver Models? (se abrirá en una nueva ventana)

Autores: Tianyu Tang, Tobias Zillmann, Johan Olstam, Christer Ahlström, Fredrik Johansson, Wouter Schakel, Klaus Bengler
Publicado en: AHFE International, Intelligent Human Systems Integration (IHSI 2026): Disruptive and Innovative Technologies, Edición 200, 2026
Editor: AHFE International
DOI: 10.54941/AHFE1007130

Enhancing Safety Standards in Automated Systems Using Dynamic Bayesian Networks (se abrirá en una nueva ventana)

Autores: Kranthi Kumar Talluri, Anders L. Madsen, Galia Weidl
Publicado en: 2025 IEEE Intelligent Vehicles Symposium (IV), 2025
Editor: IEEE
DOI: 10.1109/IV64158.2025.11097350

Naturalistic Driving Studies Data Analysis Based on a Convolutional Neural Network (se abrirá en una nueva ventana)

Autores: Jamal Raiyn, Galia Weidl
Publicado en: Proceedings of the 9th International Conference on Vehicle Technology and Intelligent Transport Systems, 2023
Editor: SCITEPRESS - Science and Technology Publications
DOI: 10.5220/0011839600003479

Rule-Compliant Multi-Agent Driving Corridor Generation using Reachable Sets and Combinatorial Negotiations (se abrirá en una nueva ventana)

Autores: Tobias Mascetta, Edmond Irani Liu, Matthias Althoff
Publicado en: 2024 IEEE Intelligent Vehicles Symposium (IV), 2024
Editor: IEEE
DOI: 10.1109/IV55156.2024.10588548

Analyse the effect of fog on the perception

Autores: Chaar, Mohamad Mofeed, Galia Weidl, and Jamal Raiyn
Publicado en: 9th International Symposium on Transportation Data & Modelling (ISTDM2023), 2023
Editor: ResearchGate

Simplifying Sim-to-Real Transfer in Autonomous Driving: Coupling Autoware with the CommonRoad Motion Planning Framework (se abrirá en una nueva ventana)

Autores: Gerald Würsching, Tobias Mascetta, Yuanfei Lin, Matthias Althoff
Publicado en: 2024 IEEE Intelligent Vehicles Symposium (IV), 2024
Editor: IEEE
DOI: 10.1109/IV55156.2024.10588748

Enhanced Traffic Rule Monitoring Using Model-Predictive and Duration-Aware Robustness (se abrirá en una nueva ventana)

Autores: Florian Finkeldei, Michael Wolf, Jan-Niklas Weghorn, Alexander Pretschner, Matthias Althoff
Publicado en: 2025 IEEE 28th International Conference on Intelligent Transportation Systems (ITSC), 2026
Editor: IEEE
DOI: 10.1109/ITSC60802.2025.11423597

Improving Autonomous Vehicle Reasoning with Non-Monotonic Logic: Advancing Safety and Performance in Complex Environments (se abrirá en una nueva ventana)

Autores: Jamal Raiyn, Galia Weidl
Publicado en: 2023 IEEE International Smart Cities Conference (ISC2), 2023
Editor: IEEE
DOI: 10.1109/ISC257844.2023.10293463

CommonRoad Global Planner: A Toolbox for Global Motion Planning on Roads (se abrirá en una nueva ventana)

Autores: Tobias Mascetta, Kilian Northoff, Matthias Althoff
Publicado en: 2025 IEEE Intelligent Vehicles Symposium (IV), 2025
Editor: IEEE
DOI: 10.1109/IV64158.2025.11097682

Falsification-Driven Reinforcement Learning for Maritime Motion Planning

Autores: Müller, M. and Finkeldei, F. and Krasowski, H. and Althoff, M.
Editor: arXive

Systematic Derivation of Generic Scenarios for Cooperative Perception Systems (se abrirá en una nueva ventana)

Autores: Christopher Stang, Julian Hay, Klaus Bogenberger, Galia Weidl
Publicado en: 2025 IEEE Intelligent Vehicles Symposium (IV), 2025
Editor: IEEE
DOI: 10.1109/IV64158.2025.11097453

Does a livable city profit from a shared CCAM Shuttle Bus on demand?.

Autores: Weidl, G., Berres, S. and Raiyn, J.,
Publicado en: International Symposium on Transportation Data & Modelling (ISTDM2023), 2023
Editor: ResearchGate

Non-driving related activities and their complicated relationship with attention

Autores: Ahlström, C., Kircher, K., Johansson, F., Andersson, A., & Olstam, J
Publicado en: Road Safety on Five Continents – RS5C , 2025
Editor: VTI

Covert attentional requirements are more challenging for drivers than overt requirements

Autores: Kircher, K., Ahlström, C., Andersson, A., Johansson, F., & Olstam, J. (2025
Publicado en: Road Safety on Five Continents – RS5C , 2025
Editor: VTI

Synthesizing Traffic Scenarios from Formal Specifications Using Reachability Analysis (se abrirá en una nueva ventana)

Autores: Florian Finkeldei, Matthias Althoff
Publicado en: 2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC), 2024
Editor: IEEE
DOI: 10.1109/ITSC57777.2023.10422092

Social Interactions on Multi-Lane Motorways: Towards a Theory of Impacts (se abrirá en una nueva ventana)

Autores: Wouter Schakel, Victor Knoop, Mehdi Keyvan-Ekbatani, Hans van Lint
Publicado en: 2023, ISSN 2662-9992
Editor: MDPI AG
DOI: 10.20944/PREPRINTS202305.0193.V1

i4Driving: evaluating road safety in traffic simulation - acontroversial topic and a paradox

Autores: Papadoulis, A.
Publicado en: 2023
Editor: Aimsum

Buscando datos de OpenAIRE...

Se ha producido un error en la búsqueda de datos de OpenAIRE

No hay resultados disponibles

Mi folleto 0 0