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

Informazioni relative al progetto

EVENTS

ID dell’accordo di sovvenzione: 101069614

DOI

10.3030/101069614

Progetto chiuso

Data della firma CE 3 Giugno 2022

Data di avvio 1 Settembre 2022

Data di completamento 28 Febbraio 2026

Finanziato da

• Climate, Energy and Mobility

Costo totale

€ 6 812 764,66

Contributo UE

€ 5 534 448,00

Coordinato da

EREVNITIKO PANEPISTIMIAKO INSTITOUTO SYSTIMATON EPIKOINONION KAI YPOLOGISTON
Greece

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

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.

Pubblicazioni

Conference proceedings (29)

Towards Collective Perception Hybrid Testing in a Roundabout Scenario with AVs

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

Conflict Handling in Time-Dependent Subjective Networks

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

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

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

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

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

Enhancing Motion Prediction by a Cooperative Framework

Autori: Javier Araluce, Alberto Justo, Asier Arizala, Leonardo González, Sergio Díaz
Pubblicato in: 2024 IEEE Intelligent Vehicles Symposium (IV), 2024
Editore: IEEE
DOI: 10.1109/IV55156.2024.10588440

Adaptive Kalman Filtering Based on Subjective Logic Self-Assessment

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

The Fast Product Multi-Sensor Labeled Multi-Bernoulli Filter

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

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

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

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

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

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

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

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

Autori: Alexander Scheible, Thomas Griebel, Michael Buchholz
Pubblicato in: 2024 27th International Conference on Information Fusion (FUSION), 2024
Editore: IEEE
DOI: 10.23919/FUSION59988.2024.10706463

Topology-Driven Parallel Trajectory Optimization in Dynamic Environments

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

Pedestrian Environment Model for Automated Driving

Autori: Holzbock, Adrian; Tsaregorodtsev, Alexander; Belagiannis, Vasileios
Pubblicato in: Crossref, 2023
Editore: 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

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

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

Autori: 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
Editore: IEEE 36th Intelligent Vehicles Symposium (IV)
DOI: 10.48550/ARXIV.2505.04982FOCUSTOLEARNMORE

SimBusters: Bridging Simulation Gaps in Intelligent Vehicles Perception

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

Deep Learning-Based Covariance Estimation for Relative Pose Measurements

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

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

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

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

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

Adaptive Patched Grid Mapping

Autori: Wodtko, Thomas; Griebel, Thomas; Buchholz, Michael
Pubblicato in: Crossref, 2023
Editore: 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

Autori: Thomas Griebel, Nikolas Dehler, Alexander Scheible, Michael Buchholz, Klaus Dietmayer
Pubblicato in: 2024 IEEE Intelligent Vehicles Symposium (IV), 2024
Editore: IEEE
DOI: 10.1109/IV55156.2024.10588720

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

Autori: Hakan Yekta Yatbaz, Mehrdad Dianati, Konstantinos Koufos and Roger Woodman
Pubblicato in: 2023
Editore: 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

Autori: Alexander Scheible, Thomas Griebel, Martin Herrmann, Charlotte Hermann, Michael Buchholz
Editore: Combined SDF and IEEE MFI Conference
DOI: 10.18725/OPARU-51867

A Unified SelfAssessment Framework for Autonomous Driving Stacks Using Subjective Logic

Autori: Thomas Wodtko, Thomas Griebel, Michael Buchholz and Klaus Dietmayer
Editore: 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

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

UNION: Unsupervised 3D Object Detection using Object Appearancebased PseudoClasses

Autori: Ted Lentsch, Holger Caesar, Dariu M. Gavrila
Editore: NeurIPS 2024
DOI: 10.48550/ARXIV.2405.15688FOCUSTOLEARNMORE

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

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

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

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

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

Autori: Asier Arizala, Gorka Alonso, Joshue Perez, Asier Zubizarreta
Pubblicato in: 2023
Editore: ROBOT 2023

Peer reviewed articles (2)

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

Autori: Hakan Yekta Yatbaz, Konstantinos Koufos, Mehrdad Dianati, Roger Woodman
Pubblicato in: ACM Transactions on Intelligent Systems and Technology, Numero 17, 2025, ISSN 2157-6904
Editore: Association for Computing Machinery (ACM)
DOI: 10.1145/3776551

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

Autori: Hakan Yekta Yatbaz, Mehrdad Dianati, Konstantinos Koufos and Roger Woodman
Pubblicato in: IEEE Transactions on Intelligent Vehicles, 2024, ISSN 2379-8904
Editore: IEEE Transactions on Intelligent Vehicles
DOI: 10.48550/arXiv.2403.01172