D5.1: System integration in the virtual testing setup

This document presents the outcomes of Task T5.1 within Work Package 5 (WP5) of the EVENTS project, focusing on integrating automated driving components into virtual environments. The task addressed diverse scenarios, including urban navigation, highway manoeuvres, vulnerable road user (VRU) interactions, and adverse weather conditions. High-fidelity simulation technologies—open-source, commercial, and tailored solutions—were leveraged to replicate real-world complexities and test developments from WP3 (Perception and V2X Communication) and WP4 (Decision-Making and Control). Progressive integration enabled iterative testing loops, ensuring continuous evaluation and refinement of perception systems, control strategies, and decision-making algorithms. Special attention was given to challenges like multi-agent coordination, VRU safety, and dynamic obstacle avoidance through technologies such as model predictive control, machine learning-based prediction, and sensor integration. The virtual environments established in T5.1 provide a scalable, safe, and cost-effective testing foundation, supporting hybrid testing and real-world deployment in the next phases of WP5 and advancing autonomous driving system capabilities.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-27
DOI
https://doi.org/10.5281/zenodo.15291120
Primary Topic
Autonomous Vehicle Technology and Safety
Type
article
Field-Weighted Citation Impact
0.00
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article

D5.1: System integration in the virtual testing setup

Zenodo (CERN European Organization for Nuclear Research)
Autonomous Vehicle Technology and Safety
article

D5.1: System integration in the virtual testing setup

article en

Abstract

This document presents the outcomes of Task T5.1 within Work Package 5 (WP5) of the EVENTS project, focusing on integrating automated driving components into virtual environments. The task addressed diverse scenarios, including urban navigation, highway manoeuvres, vulnerable road user (VRU) interactions, and adverse weather conditions. High-fidelity simulation technologies—open-source, commercial, and tailored solutions—were leveraged to replicate real-world complexities and test developments from WP3 (Perception and V2X Communication) and WP4 (Decision-Making and Control). Progressive integration enabled iterative testing loops, ensuring continuous evaluation and refinement of perception systems, control strategies, and decision-making algorithms. Special attention was given to challenges like multi-agent coordination, VRU safety, and dynamic obstacle avoidance through technologies such as model predictive control, machine learning-based prediction, and sensor integration. The virtual environments established in T5.1 provide a scalable, safe, and cost-effective testing foundation, supporting hybrid testing and real-world deployment in the next phases of WP5 and advancing autonomous driving system capabilities.

Zenodo (CERN European Organization for Nuclear Research)
Sustainable cities and communities
Openalex Percentile: Top 53%
Autonomous Vehicle Technology and Safety
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