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

Informacje na temat projektu

EVENTS

Identyfikator umowy o grant: 101069614

DOI

10.3030/101069614

Projekt został zamknięty

Data podpisania przez KE 3 Czerwca 2022

Data rozpoczęcia 1 Września 2022

Data zakończenia 28 Lutego 2026

Finansowanie w ramach

• Climate, Energy and Mobility

Koszt całkowity

€ 6 812 764,66

Wkład UE

€ 5 534 448,00

Koordynowany przez

EREVNITIKO PANEPISTIMIAKO INSTITOUTO SYSTIMATON EPIKOINONION KAI YPOLOGISTON
Greece

CORDIS oferuje możliwość skorzystania z odnośników do publicznie dostępnych publikacji i rezultatów projektów realizowanych w ramach programów ramowych HORYZONT.

Odnośniki do rezultatów i publikacji związanych z poszczególnymi projektami 7PR, a także odnośniki do niektórych konkretnych kategorii wyników, takich jak zbiory danych i oprogramowanie, są dynamicznie pobierane z systemu OpenAIRE .

Rezultaty

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.

Publikacje

Conference proceedings (29)

Towards Collective Perception Hybrid Testing in a Roundabout Scenario with AVs

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

Conflict Handling in Time-Dependent Subjective Networks

Autorzy: Thomas Wodtko, Thomas Griebel, Alexander Scheible, Michael Buchholz
Opublikowane w: 2024 27th International Conference on Information Fusion (FUSION), 2024
Wydawca: IEEE
DOI: 10.23919/FUSION59988.2024.10706464

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

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

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

Autorzy: Thomas Griebel, Jonas Heinzler, Michael Buchholz, and Klaus Dietmayer
Opublikowane w: 2023
Wydawca: 023 26th International Conference on Information Fusion (FUSION)
DOI: 10.18725/OPARU-51054

Enhancing Motion Prediction by a Cooperative Framework

Autorzy: Javier Araluce, Alberto Justo, Asier Arizala, Leonardo González, Sergio Díaz
Opublikowane w: 2024 IEEE Intelligent Vehicles Symposium (IV), 2024
Wydawca: IEEE
DOI: 10.1109/IV55156.2024.10588440

Adaptive Kalman Filtering Based on Subjective Logic Self-Assessment

Autorzy: Thomas Griebel, Johannes Müller, Michael Buchholz, Klaus Dietmayer
Opublikowane w: 2024 27th International Conference on Information Fusion (FUSION), 2024
Wydawca: IEEE
DOI: 10.23919/FUSION59988.2024.10706328

The Fast Product Multi-Sensor Labeled Multi-Bernoulli Filter

Autorzy: Charlotte Hermann, Martin Herrmann, Thomas Griebel, Michael Buchholz, and Klaus Dietmayer
Opublikowane w: 2023
Wydawca: 023 26th International Conference on Information Fusion (FUSION)
DOI: 10.18725/OPARU-51053

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

Autorzy: Alberto Justo, Javier Araluce, Mario Rodriguez-Arozamena, Leonardo Gonzalez, Luis M. Bergasa
Opublikowane w: 2025 IEEE Intelligent Vehicles Symposium (IV), 2025
Wydawca: IEEE
DOI: 10.1109/IV64158.2025.11097375

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

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

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

Autorzy: Alexander Scheible, Thomas Griebel, Michael Buchholz
Opublikowane w: 2024 IEEE 27th International Conference on Intelligent Transportation Systems (ITSC), 2025
Wydawca: IEEE
DOI: 10.1109/ITSC58415.2024.10920041

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

Autorzy: Alexander Scheible, Thomas Griebel, Michael Buchholz
Opublikowane w: 2024 27th International Conference on Information Fusion (FUSION), 2024
Wydawca: IEEE
DOI: 10.23919/FUSION59988.2024.10706463

Topology-Driven Parallel Trajectory Optimization in Dynamic Environments

Autorzy: Oscar de Groot, Laura Ferranti, Dariu M. Gavrila, Javier Alonso-Mora
Opublikowane w: IEEE Transactions on Robotics, Numer 41, 2026, ISSN 1552-3098
Wydawca: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/TRO.2024.3475047

Pedestrian Environment Model for Automated Driving

Autorzy: Holzbock, Adrian; Tsaregorodtsev, Alexander; Belagiannis, Vasileios
Opublikowane w: Crossref, 2023
Wydawca: 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

Autorzy: Matthijs P. van Andel, Hidde J-H. Boekema, Dariu M. Gavrila
Opublikowane w: 2025 IEEE Intelligent Vehicles Symposium (IV), 2025
Wydawca: IEEE
DOI: 10.1109/IV64158.2025.11097443

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

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

SimBusters: Bridging Simulation Gaps in Intelligent Vehicles Perception

Autorzy: Alberto Justo, Javier Araluce, Javier Romera, Mario Rodriguez-Arozamena, Leonardo González, Sergio Díaz
Opublikowane w: 2024 IEEE Intelligent Vehicles Symposium (IV), 2024
Wydawca: IEEE
DOI: 10.1109/IV55156.2024.10588580

Deep Learning-Based Covariance Estimation for Relative Pose Measurements

Autorzy: Alireza Ahrabian, Quan Nguyen, Nikos Toulios, Anthony Ohazulike
Opublikowane w: 2024 IEEE 27th International Conference on Intelligent Transportation Systems (ITSC), 2025
Wydawca: IEEE
DOI: 10.1109/ITSC58415.2024.10919973

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

Autorzy: Thomas Griebel, Alexander Scheible, Michael Buchholz, Klaus Dietmayer
Opublikowane w: 2024 IEEE 27th International Conference on Intelligent Transportation Systems (ITSC), 2025
Wydawca: IEEE
DOI: 10.1109/ITSC58415.2024.10920240

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

Autorzy: Hakan Yekta Yatbaz, Mehrdad Dianati, Konstantinos Koufos, Roger Woodman
Opublikowane w: 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2024
Wydawca: IEEE
DOI: 10.1109/CVPRW63382.2024.00356

Adaptive Patched Grid Mapping

Autorzy: Wodtko, Thomas; Griebel, Thomas; Buchholz, Michael
Opublikowane w: Crossref, 2023
Wydawca: 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

Autorzy: Thomas Griebel, Nikolas Dehler, Alexander Scheible, Michael Buchholz, Klaus Dietmayer
Opublikowane w: 2024 IEEE Intelligent Vehicles Symposium (IV), 2024
Wydawca: IEEE
DOI: 10.1109/IV55156.2024.10588720

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

Autorzy: Hakan Yekta Yatbaz, Mehrdad Dianati, Konstantinos Koufos and Roger Woodman
Opublikowane w: 2023
Wydawca: 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

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

A Unified SelfAssessment Framework for Autonomous Driving Stacks Using Subjective Logic

Autorzy: Thomas Wodtko, Thomas Griebel, Michael Buchholz and Klaus Dietmayer
Wydawca: 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

Autorzy: Hakan Yekta Yatbaz, Mehrdad Dianati, Konstantinos Koufos, Roger Woodman
Opublikowane w: 2024 IEEE 27th International Conference on Intelligent Transportation Systems (ITSC), 2025
Wydawca: IEEE
DOI: 10.1109/ITSC58415.2024.10920125

UNION: Unsupervised 3D Object Detection using Object Appearancebased PseudoClasses

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

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

Autorzy: Thomas Wodtko, Thomas Griebel, Michael Buchholz
Opublikowane w: 2025 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI), 2025
Wydawca: IEEE
DOI: 10.1109/MFI67357.2025.11259193

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

Autorzy: Thomas Griebel, Thomas Wodtko, Michael Buchholz, Klaus Dietmayer
Opublikowane w: 2025 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI), 2025
Wydawca: IEEE
DOI: 10.1109/MFI67357.2025.11259162

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

Autorzy: Asier Arizala, Gorka Alonso, Joshue Perez, Asier Zubizarreta
Opublikowane w: 2023
Wydawca: ROBOT 2023

Peer reviewed articles (2)

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

Autorzy: Hakan Yekta Yatbaz, Konstantinos Koufos, Mehrdad Dianati, Roger Woodman
Opublikowane w: ACM Transactions on Intelligent Systems and Technology, Numer 17, 2025, ISSN 2157-6904
Wydawca: Association for Computing Machinery (ACM)
DOI: 10.1145/3776551

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

Autorzy: Hakan Yekta Yatbaz, Mehrdad Dianati, Konstantinos Koufos and Roger Woodman
Opublikowane w: IEEE Transactions on Intelligent Vehicles, 2024, ISSN 2379-8904
Wydawca: IEEE Transactions on Intelligent Vehicles
DOI: 10.48550/arXiv.2403.01172