CORDIS provides links to public deliverables and publications of HORIZON projects.
Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .
Deliverables
A final report related SW of a compressed HD map representation that can cope with the seasonal changes and can be kept updated while excluding the dynamic objects.
Final KPI specifications (opens in new window)Update on the KPI specifications.
Evaluation of sensors in-situ (opens in new window)Report on robustness of shielded sensors based on data while driving in real-world harsh weather conditions, including possible mitigations such as design choices, filtering, and calibration.
Test plan regarding the most appropriate test method (opens in new window)Report defining how to test single components and integrated automated vehicle systems in virtual and real domains. It will consider specific uses-cases under extreme weather conditions.
Report on data privacy and storage (opens in new window)Data privacy and storage of the logged data.
Final readiness assessment of specific datasets (opens in new window)Final report on the quantitative evaluation of the ROADVIEW DRL method on public datasets and on the ROADVIEW dataset using enlarged feature sets.
Initial readiness assessment of specific datasets (opens in new window)Report on the quantitative evaluation of the ROADVIEW DRL method on public datasets using a limited feature size.
Interim impact report (opens in new window)Interim impact report on communication and dissemination activities, including those at the international level. An update of the DCP plan will be considered.
SW on Improved Localization Using High-density Map Updating - First report (opens in new window)A first report related SW of a compressed HD map representation that can cope with the seasonal changes and can be kept updated while excluding the dynamic objects.
SW on Collaborative Perception Solutions - Final report (opens in new window)A final report on improving vehicle perception with sharing information provided by sensors from other connected vehicles or VRUs and roadside infrastructure.
SW on Adaptive Sensor Fusion and Perception Solutions - Final report (opens in new window)A final report on algorithms and SW developed to detect weather-related physical conditions (e.g., heavy rain, fog, slush and snow), free space detection, object detection and tracking, and adaptive sensor fusion.
SW on Adaptive Sensor Fusion and Perception Solutions - First report (opens in new window)A first report on algorithms and SW developed to detect weather-related physical conditions (e.g., heavy rain, fog, slush and snow), free space detection, object detection and tracking, and adaptive sensor fusion.
Stakeholder report and strategy (opens in new window)Stakeholder report and strategy including detailed stakeholder mapping and strategies to reach key target audiences.
Environmental and weather condition state estimates (opens in new window)Report on the online state estimation method providing the reliable visibility range and weather conditions using camera, LiDAR, and RADAR sensor data.
Vehicle dynamics modelling methodology (opens in new window)A public report will be published along with any relevant publications on vehicle dynamics modelling methodologies. In addition, a representative library of vehicle dynamics models for a selection of vehicles available within the consortium will be delivered.
Definition of the complex environment conditions (opens in new window)An extended ODD taxonomy will be reported considering harsh weather conditions and complex urban/rural environments.
XAI design of perception solutions (opens in new window)Explainability requirement specifications, report and implementation of XAI design for AI models developed in Tasks 5.2 and 5.3.
SW on Collaborative Perception Solutions - First report (opens in new window)A first report on improving vehicle perception with sharing information provided by sensors from other connected vehicles or VRUs and roadside infrastructure.
Report on data annotation (opens in new window)Report on the categorisation and labelling of data.
Use cases and scenarios (opens in new window)A set of use cases with multiple scenarios will be reported based on the ODD taxonomy defined in Task 2.1.
Plan for the dissemination and communication activities (opens in new window)Plan for the dissemination and communication activities including defined strategy, tools, channels and (international) activities.
Initial KPI specifications (opens in new window)Report on the KPI specifications.
Relevant metrics to assert the validity of the simulation-assisted test methods (opens in new window)This report describes the relevant metrics for the validation of simulation-assisted methods in comparison to controlled environment/proving ground reference values.
A library of internal sensor noise models for the perception sensors selected for the project will be delivered. This will be accompanied by a report on noise modelling, the methodologies to combine multiple noise factor effects on the sensor outputs for different sensor technologies, and any significant corner cases or scenarios to test where compound noise could create significant degradation of sensor performance.
Library of validated physics-based parameterised noise models (opens in new window)A library of validated physics-based parameterised noise models for the selected perception sensor technologies with detailed report on implementation, validation methods and comparison of the generated models based on the agreed evaluation metrics.
Library of validated statistical noise models (opens in new window)A library of validated statistical noise models for the selected perception sensor technologies will be delivered with a detailed report on implementation and validation methods used.
Release of the source code for DRL.
Reference dataset of measured weather characteristics (opens in new window)Reference datasets for the controlled environment and real-world site weather characteristics will be delivered, with a detailed report on data collection methodology.
ROADVIEW website with dedicated areas for different stakeholder groups.
Report on the demonstration of early ROADVIEW system components implementations to be used in the subsequent demonstrations.
Publications
Author(s):
Letícia Cristófoli Duarte Silva, Maikol Funk Drechsler, Yuri Poledna, Werner Huber, Thiago Antonio Fiorentin
Published in:
2023 Third International Conference on Digital Data Processing (DDP), 2024, ISSN 2473-2001
Publisher:
IEEExplore
DOI:
10.1109/DDP60485.2023.00044
Author(s):
Tuomas Herranen, Erik Henriksson, Pak Hung Chan, Yuri Poledna, Pierre Duthon, Amine Ben-Daoued, Maikol Drechsler, Valentina Donzella
Published in:
Autonomous Systems for Security and Defence, 2024
Publisher:
SPIE
DOI:
10.1117/12.3031473
Author(s):
Tiago Cortinhal, Idriss Gouigah, Eren Erdal Aksoy
Published in:
2024 IEEE Intelligent Vehicles Symposium (IV), 2024
Publisher:
IEEE
DOI:
10.1109/IV55156.2024.10588782
Author(s):
Maikol Funk Drechsler, Yuri Poledna, Mattias Hjort, Sogol Kharrazi, Werner Huber
Published in:
2024 IEEE International Automated Vehicle Validation Conference (IAVVC), 2024
Publisher:
IEEE
DOI:
10.1109/IAVVC63304.2024.10786416
Author(s):
Yuri Poledna, Maikol Funk Drechsler, Valentina Donzella, Pak Hung Chan, Pierre Duthon, Werner Huber
Published in:
2024 IEEE Intelligent Vehicles Symposium (IV), 2024
Publisher:
IEEE
DOI:
10.1109/IV55156.2024.10588491
Author(s):
Raisuddin, Abu Mohammed; Cortinhal, Tiago; Holmblad, Jesper; Aksoy, Eren Erdal
Published in:
2024 IEEE Intelligent Vehicles Symposium (IV), 2024
Publisher:
IEEE
DOI:
10.36227/TECHRXIV.24297166.V1
Author(s):
Amine Ben-Daoued; Frédéric Bernardin; Pierre Duthon
Published in:
ATEC ITS Congress, 2023
Publisher:
HAL
Author(s):
Wang, Yiting, Zhao, Haonan, Debattista, Kurt and Donzella, Valentina
Published in:
26th IEEE International Conference on Intelligent Transportation Systems (ITSC 2023), 2023
Publisher:
WRAP Warwick
Author(s):
Pak Hung Chan, Kurt Debattista, Valentina Donzella
Published in:
2024 IEEE SENSORS, 2024
Publisher:
IEEE
DOI:
10.1109/SENSORS60989.2024.10784836
Author(s):
Pak Hung Chan; Sepeedeh Shahbeigi Roudposhti; Xinyi Ye; Valentina Donzella
Published in:
IEEE Sensors Journal, 2025, ISSN 1558-1748
Publisher:
IEEE
DOI:
10.36227/TECHRXIV.24517249
Author(s):
Pak Hung Chan, Chuheng Wei, Anthony Huggett, Valentina Donzella
Published in:
IEEE Access, Issue 13, 2025, ISSN 2169-3536
Publisher:
IEEE
DOI:
10.36227/TECHRXIV.23807499.V1
Author(s):
Chan, Pak Hung; Li, Boda; Baris, Gabriele; Sadiq, Qasim; Donzella, Valentina
Published in:
Data-Centric Engineering, 2024, ISSN 2632-6736
Publisher:
Cambridge University Press
DOI:
10.36227/TECHRXIV.170630689.97107789/V1
Author(s):
Sepeedeh Shahbeigi, Honahan Robinson, Valentina Donzella
Published in:
IEEE Transactions and Journals, 2024, ISSN 1803-7232
Publisher:
IEEE Xplore
DOI:
10.1109/ACCESS.2024.3359300
Author(s):
Gabriele Baris, Boda Li, Pak Hung Chan, Carlo Alberto Avizzano, Valentina Donzella
Published in:
IEEE Access, Issue 13, 2025, ISSN 2169-3536
Publisher:
Institute of Electrical and Electronics Engineers (IEEE)
DOI:
10.1109/ACCESS.2025.3544773
Author(s):
Amine Ben-Daoued; Frédéric Bernardin; Pierre Duthon
Published in:
Journal of Imaging, 2024, ISSN 3064-6936
Publisher:
MDPI
DOI:
10.3390/JIMAGING10120306
Author(s):
Valentina Donzella, Pak Hung Chan, Daniel Gummadi, Abu Mohammed Raisuddin, Eren Erdal Aksoy
Published in:
IEEE Sensors Journal, Issue 25, 2025, ISSN 1530-437X
Publisher:
Institute of Electrical and Electronics Engineers (IEEE)
DOI:
10.1109/JSEN.2025.3570478
Author(s):
Tiago Cortinhal, Eren Erdal Aksoy
Published in:
Robotics and Autonomous Systems, 2023, ISSN 0921-8890
Publisher:
Science Direct | Elsevier
DOI:
10.1016/j.robot.2023.104583
Author(s):
Amine Ben-Daoued; Pierre Duthon; Frédéric Bernardin
Published in:
Journal of Imaging, 2023, ISSN 2313-433X
Publisher:
MDPI
DOI:
10.3390/jimaging9020054
Author(s):
Pak Hung Chan, Anthony Huggett, Georgina Souvalioti, Paul Jennings, Valentina Donzella
Published in:
IEEE Transactions on Intelligent Transportation Systems, Issue 25, 2025, ISSN 1524-9050
Publisher:
Institute of Electrical and Electronics Engineers (IEEE)
DOI:
10.36227/TECHRXIV.19808566
Author(s):
Fredrik Warg; Valentina Donzella; Pak Hung Chan; Jonathan Robinson; Yuri Poledna; Sebastien Liandrat; Umut Cihan; Maytheewat Aramrattana; Graham Lee; Eren Erdal Aksoy
Published in:
Open Research Europe, 2024, ISSN 2732-5121
Publisher:
European Commission
DOI:
10.12688/OPENRESEUROPE.18592.1
Author(s):
Abu Mohammed Raisuddin, Tiago Cortinhal, Jesper Holmblad, Eren Erdal Aksoy
Published in:
TechRxiv, 2023
Publisher:
TechRxiv
DOI:
10.36227/techrxiv.24297166.v1
Author(s):
Tiago Cortinhal, Idriss Gouigah, Eren Erdal Aksoy
Published in:
arXiv, 2023
Publisher:
arXiv
DOI:
10.48550/arXiv.2309.08932
Author(s):
Pak Hung Chan, Chuheng Wei, Anthony Huggett, Valentina Donzella
Published in:
TechRxiv, 2023
Publisher:
TechRxiv
DOI:
10.36227/techrxiv.23807499.v1
Author(s):
Daniel Gummadi, Pak Hung Chan, Hetian Wang, Valentina Donzella
Published in:
TechRxiv, 2023
Publisher:
TechRxiv
DOI:
10.36227/techrxiv.24566371.v1
Author(s):
Gabriele Baris, Boda Li, Pak Hung Chan, Carlo Alberto Avizzano, Valentina Donzella
Published in:
TechRxiv, 2023
Publisher:
TechRxiv
DOI:
10.36227/techrxiv.23047412.v1
Author(s):
Mahmoud Alshaikh
Published in:
2025
Publisher:
n/a
Author(s):
Pak Hung Chan, Sepeedeh Shahbeigi Roudposhti, Xinyi Ye, Valentina Donzella
Published in:
TechRxiv, 2023
Publisher:
TechRxiv
DOI:
10.36227/techrxiv.24517249.v1
Author(s):
Julius Pesonen
Published in:
Machine Learning, Data Science and Artificial Intelligence, 2023
Publisher:
Aaltodoc publication archive
Author(s):
Jyri Maanpää, Julius Pesonen, Iaroslav Melekhov, Heikki Hyyti, Juha Hyyppä
Published in:
Lecture Notes in Computer Science, Image Analysis, 2025
Publisher:
Springer Nature Switzerland
DOI:
10.1007/978-3-031-95911-0_17
Author(s):
Jyri Maanpää, Julius Pesonen, Heikki Hyyti, Iaroslav Melekhov, Juho Kannala, Petri Manninen, Antero Kukko, Juha Hyyppä
Published in:
Lecture Notes in Computer Science, Pattern Recognition, 2024
Publisher:
Springer Nature Switzerland
DOI:
10.1007/978-3-031-78447-7_26
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