ReliablE in-Vehicle pErception and decisioN-making in complex environmenTal conditionS

Project Information

EVENTS

Grant agreement ID: 101069614

DOI

10.3030/101069614

Project closed

EC signature date 3 June 2022

Start date 1 September 2022

End date 28 February 2026

Funded under

• Climate, Energy and Mobility

Total cost

€ 6 812 764,66

EU contribution

€ 5 534 448,00

Coordinated by

EREVNITIKO PANEPISTIMIAKO INSTITOUTO SYSTIMATON EPIKOINONION KAI YPOLOGISTON
Greece

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

Other (2)

Initial version of motion planning and behavioural decision-making components

This deliverable includes the initial version of motion planning algorithms (T4.1) and behavioural decision-making strategies (T4.2).

Perception Components Methods

Description of the various component methods for data acquisition and adaptation (T3.1), semantic scene analysis and precise localisation (T3.2), environment state estimation and motion prediction (T3.3) and augmented perception by V2X (T3.4).

Documents, reports (6)

EVENTS Communication, Dissemination, and social awareness

The dissemination and communication plan as well as initial social awareness activities will be documented in the first version of this deliverable (M06). An updated version of this deliverable will be available in the mid-term of the project (M18), while the final version of this deliverable (M36) will include all the activities performed throughout the project. The communication and dissemination activities will be performed in T7.1, whereas the social innovation and awareness activities will be part of T7.4.

Full Stack Architecture & Interfaces

EVENTS system architecture and relevant interfaces will be included here. This is the outcome of T2.3 dealing with architectural aspects.

Quality and Risk Management Plan

Establishes a quality control strategy and sets the quality objectives for EVENTS, it includes the Risk Management section with the methodology to identify, evaluate and manage project risks. This is the outcome of T1.3 which deals with quality and risk management procedures.

User and system requirements for selected use cases

The requirements and specification of the EVENTS system will be detailed in this deliverable. This will include the outcome of the use cases specification in T2.1 and the user and system requirements in T2.2.

Intermediate EVENTS Communication, Dissemination, and social awareness

This deliverable will be an updated version of deliverable D7.1.

Vehicle System Hazard Analysis & Risk Assessment

The outcome of the HARA for the vehicle system will be reported in this deliverable. This is actually the outcome of T2.4 dealing with HARA in the vehicle system.

Publications

Conference proceedings (29)

Towards Collective Perception Hybrid Testing in a Roundabout Scenario with AVs

Author(s): Markos Antonopoulos, Anastasia Bolovinou, Bill Roungas, Asier Arizala, Angelos Amditis
Published in: Lecture Notes in Mobility, Transport Transitions: Advancing Sustainable and Inclusive Mobility, 2025
Publisher: Springer Nature Switzerland
DOI: 10.1007/978-3-032-06763-0_103

Conflict Handling in Time-Dependent Subjective Networks

Author(s): Thomas Wodtko, Thomas Griebel, Alexander Scheible, Michael Buchholz
Published in: 2024 27th International Conference on Information Fusion (FUSION), 2024
Publisher: IEEE
DOI: 10.23919/FUSION59988.2024.10706464

A Graph Neural Network Approach for Solving the Ranked Assignment Problem in Multi-Object Tracking

Author(s): Robin Dehler, Martin Herrmann, Jan Strohbeck, Michael Buchholz
Publisher: 2024 IEEE Intelligent Vehicles Symposium (IV)
DOI: 10.48550/ARXIV.2604.01696

Online Performance Assessment of Multi-Sensor Kalman Filters Based on Subjective Logic

Author(s): Thomas Griebel, Jonas Heinzler, Michael Buchholz, and Klaus Dietmayer
Published in: 2023
Publisher: 023 26th International Conference on Information Fusion (FUSION)
DOI: 10.18725/OPARU-51054

Enhancing Motion Prediction by a Cooperative Framework

Author(s): Javier Araluce, Alberto Justo, Asier Arizala, Leonardo González, Sergio Díaz
Published in: 2024 IEEE Intelligent Vehicles Symposium (IV), 2024
Publisher: IEEE
DOI: 10.1109/IV55156.2024.10588440

Adaptive Kalman Filtering Based on Subjective Logic Self-Assessment

Author(s): Thomas Griebel, Johannes Müller, Michael Buchholz, Klaus Dietmayer
Published in: 2024 27th International Conference on Information Fusion (FUSION), 2024
Publisher: IEEE
DOI: 10.23919/FUSION59988.2024.10706328

The Fast Product Multi-Sensor Labeled Multi-Bernoulli Filter

Author(s): Charlotte Hermann, Martin Herrmann, Thomas Griebel, Michael Buchholz, and Klaus Dietmayer
Published in: 2023
Publisher: 023 26th International Conference on Information Fusion (FUSION)
DOI: 10.18725/OPARU-51053

LFF-V2V: A Late Fusion Cooperative Framework in V2V Scenarios

Author(s): Alberto Justo, Javier Araluce, Mario Rodriguez-Arozamena, Leonardo Gonzalez, Luis M. Bergasa
Published in: 2025 IEEE Intelligent Vehicles Symposium (IV), 2025
Publisher: IEEE
DOI: 10.1109/IV64158.2025.11097375

ADUULM-TTB: A Scalable, Generic, and Efficient Multi-Sensor Multi-Object Tracking Toolbox

Author(s): Alexander Scheible, Charlotte Hermann, Thomas Griebel, Michael Buchholz, Klaus Dietmayer
Published in: 2025 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI), 2025
Publisher: IEEE
DOI: 10.1109/MFI67357.2025.11259402

Self-Monitored Detection Probability Estimation for the Labeled Multi-Bernoulli Filter

Author(s): Alexander Scheible, Thomas Griebel, Michael Buchholz
Published in: 2024 IEEE 27th International Conference on Intelligent Transportation Systems (ITSC), 2025
Publisher: IEEE
DOI: 10.1109/ITSC58415.2024.10920041

Self-Monitored Clutter Rate Estimation for the Labeled Multi-Bernoulli Filter

Author(s): Alexander Scheible, Thomas Griebel, Michael Buchholz
Published in: 2024 27th International Conference on Information Fusion (FUSION), 2024
Publisher: IEEE
DOI: 10.23919/FUSION59988.2024.10706463

Topology-Driven Parallel Trajectory Optimization in Dynamic Environments

Author(s): Oscar de Groot, Laura Ferranti, Dariu M. Gavrila, Javier Alonso-Mora
Published in: IEEE Transactions on Robotics, Issue 41, 2026, ISSN 1552-3098
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/TRO.2024.3475047

Pedestrian Environment Model for Automated Driving

Author(s): Holzbock, Adrian; Tsaregorodtsev, Alexander; Belagiannis, Vasileios
Published in: Crossref, 2023
Publisher: 26th IEEE International Conference on Intelligent Transportation Systems -ITSC 2023
DOI: 10.48550/arxiv.2308.09080

SAM-Maps: Road Map Generation for Automated Vehicles in Urban Areas

Author(s): Matthijs P. van Andel, Hidde J-H. Boekema, Dariu M. Gavrila
Published in: 2025 IEEE Intelligent Vehicles Symposium (IV), 2025
Publisher: IEEE
DOI: 10.1109/IV64158.2025.11097443

A Vehicle System for Navigating among Vulnerable Road Users Including Remote Operation

Author(s): O. De Groot, A. Bertipaglia, H. Boekema, V. Jain, M. Kegl, V. Kotian, T. Lentsch, Y. Lin, C. Messiou, E. Schippers, F. Tajdari, S. Wang, Z. Xia, M. Zaffar, R. Ensing, M. Garzón-Oviedo, J. Alonso-Mora, H. Caesar, L. Ferranti, R Happee, J.F.P. Kooij, G. Pap
Publisher: IEEE 36th Intelligent Vehicles Symposium (IV)
DOI: 10.48550/ARXIV.2505.04982FOCUSTOLEARNMORE

SimBusters: Bridging Simulation Gaps in Intelligent Vehicles Perception

Author(s): Alberto Justo, Javier Araluce, Javier Romera, Mario Rodriguez-Arozamena, Leonardo González, Sergio Díaz
Published in: 2024 IEEE Intelligent Vehicles Symposium (IV), 2024
Publisher: IEEE
DOI: 10.1109/IV55156.2024.10588580

Deep Learning-Based Covariance Estimation for Relative Pose Measurements

Author(s): Alireza Ahrabian, Quan Nguyen, Nikos Toulios, Anthony Ohazulike
Published in: 2024 IEEE 27th International Conference on Intelligent Transportation Systems (ITSC), 2025
Publisher: IEEE
DOI: 10.1109/ITSC58415.2024.10919973

Towards an Advanced Self-Monitoring Tracking Module: Leveraging Statistical Hypothesis Tests and Subjective Logic Reasoning

Author(s): Thomas Griebel, Alexander Scheible, Michael Buchholz, Klaus Dietmayer
Published in: 2024 IEEE 27th International Conference on Intelligent Transportation Systems (ITSC), 2025
Publisher: IEEE
DOI: 10.1109/ITSC58415.2024.10920240

Run-time Monitoring of 3D Object Detection in Automated Driving Systems Using Early Layer Neural Activation Patterns

Author(s): Hakan Yekta Yatbaz, Mehrdad Dianati, Konstantinos Koufos, Roger Woodman
Published in: 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2024
Publisher: IEEE
DOI: 10.1109/CVPRW63382.2024.00356

Adaptive Patched Grid Mapping

Author(s): Wodtko, Thomas; Griebel, Thomas; Buchholz, Michael
Published in: Crossref, 2023
Publisher: 26th IEEE International Conference on Intelligent Transportation Systems -ITSC 2023
DOI: 10.48550/arxiv.2308.03416

Self-Assessment for Multi-Object Tracking Based on Subjective Logic

Author(s): Thomas Griebel, Nikolas Dehler, Alexander Scheible, Michael Buchholz, Klaus Dietmayer
Published in: 2024 IEEE Intelligent Vehicles Symposium (IV), 2024
Publisher: IEEE
DOI: 10.1109/IV55156.2024.10588720

Introspection of 2D Object Detection using Processed Neural Activation Patterns in Automated Driving Systems

Author(s): Hakan Yekta Yatbaz, Mehrdad Dianati, Konstantinos Koufos and Roger Woodman
Published in: 2023
Publisher: International Conference on Computer Vision-ICCV, IEEE Computer Society
DOI: 10.1109/ICCVW60793.2023.00437

Track Classification for Random Finite Set Based Multi-Sensor Multi-Object Tracking

Author(s): Alexander Scheible, Thomas Griebel, Martin Herrmann, Charlotte Hermann, Michael Buchholz
Publisher: Combined SDF and IEEE MFI Conference
DOI: 10.18725/OPARU-51867

A Unified SelfAssessment Framework for Autonomous Driving Stacks Using Subjective Logic

Author(s): Thomas Wodtko, Thomas Griebel, Michael Buchholz and Klaus Dietmayer
Publisher: Uni-DAS e.V. Workshop Fahrerassistenz und automatisiertes Fahren
DOI: 10.18725/OPARU-56012

Integrity Monitoring of 3D Object Detection in Automated Driving Systems using Raw Activation Patterns and Spatial Filtering

Author(s): Hakan Yekta Yatbaz, Mehrdad Dianati, Konstantinos Koufos, Roger Woodman
Published in: 2024 IEEE 27th International Conference on Intelligent Transportation Systems (ITSC), 2025
Publisher: IEEE
DOI: 10.1109/ITSC58415.2024.10920125

UNION: Unsupervised 3D Object Detection using Object Appearancebased PseudoClasses

Author(s): Ted Lentsch, Holger Caesar, Dariu M. Gavrila
Publisher: NeurIPS 2024
DOI: 10.48550/ARXIV.2405.15688FOCUSTOLEARNMORE

eSLIM++ - An Efficient Subjective Logic Implementation in C++ Providing Easy-to-Use Python Interfaces

Author(s): Thomas Wodtko, Thomas Griebel, Michael Buchholz
Published in: 2025 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI), 2025
Publisher: IEEE
DOI: 10.1109/MFI67357.2025.11259193

Self-Assessment and Monitoring Module for Tracking Algorithms in the Stone Soup Framework

Author(s): Thomas Griebel, Thomas Wodtko, Michael Buchholz, Klaus Dietmayer
Published in: 2025 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI), 2025
Publisher: IEEE
DOI: 10.1109/MFI67357.2025.11259162

Fuzzy logic based decision-making for urban platooning on urban roundabout scenarios

Author(s): Asier Arizala, Gorka Alonso, Joshue Perez, Asier Zubizarreta
Published in: 2023
Publisher: ROBOT 2023

Peer reviewed articles (2)

Multi-Layer Self-Assessment with Filtering for 3D Object Detection in Autonomous Vehicles

Author(s): Hakan Yekta Yatbaz, Konstantinos Koufos, Mehrdad Dianati, Roger Woodman
Published in: ACM Transactions on Intelligent Systems and Technology, Issue 17, 2025, ISSN 2157-6904
Publisher: Association for Computing Machinery (ACM)
DOI: 10.1145/3776551

Run-time Introspection of 2D Object Detection in Automated Driving Systems Using Learning Representations

Author(s): Hakan Yekta Yatbaz, Mehrdad Dianati, Konstantinos Koufos and Roger Woodman
Published in: IEEE Transactions on Intelligent Vehicles, 2024, ISSN 2379-8904
Publisher: IEEE Transactions on Intelligent Vehicles
DOI: 10.48550/arXiv.2403.01172