Lab Environments for Increasing the Technological Readiness of Safety Assurance Methods in AD

Exploring and evaluating the applicability of Safety Assurance Methods (SAMs) on full-scale systems requires high cost, extensive time investments, and significant resource commitment. Thus, the development and validation of SAMs for Automated Driving Systems (ADSs) face significant challenges. As a result, while ADSs continuously mature to higher Technology Readiness Levels (TRLs), novel SAMs emerging from academia struggle to surpass TRL2. In this paper, we propose the concept of a Methods Exploration Laboratory (MEL) using a scaled system as a less resourceintensive alternative for an initial application of novel SAMs to address these challenges and enable TRL3-4. This approach facilitates rapid prototyping and iteration of SAMs while maintaining essential features necessary for comprehensive validation. Requirements for the MEL are outlined, ensuring the applicability and evaluation of SAMs currently being developed to efficiently provide meaningful feedback for method developers. A feedback cycle is proposed, allowing iterative refinement of SAMs by comparing performance against state-of-the-art reference SAMs. The potential benefits of the MEL are discussed and weighted against the inherent limitations of using a laboratory environment. While shortcomings of SAMs can be identified and corrected, the MEL may not capture all potential failure modes or edge cases encountered by using the relevant environment of a full-scale ADS for SAM evaluation. However, despite identified constraints, the MEL poses a novel type of tool to enable feedback in early stages of the development process. In conclusion, the proposed concept represents a significant advancement in SAM development, offering a more accessible, controllable, and resource-efficient tool to reach the next intermediary step for the technological readiness of SAMs. Future research is required for the realization of the MEL to explore the adaptability to different types of SAMs and ADS configurations.

Authors

Institutions

Publication Details

Published
2025-09-30
DOI
https://doi.org/10.1109/iavvc61942.2025.11219489
Primary Topic
Safety Systems Engineering in Autonomy
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Lab Environments for Increasing the Technological Readiness of Safety Assurance Methods in AD

Steven Peters, Kai Storms, Alexander Blödel
Safety Systems Engineering in Autonomy
article

Lab Environments for Increasing the Technological Readiness of Safety Assurance Methods in AD

Steven Peters, Kai Storms, Alexander Blödel
article en

Abstract

Exploring and evaluating the applicability of Safety Assurance Methods (SAMs) on full-scale systems requires high cost, extensive time investments, and significant resource commitment. Thus, the development and validation of SAMs for Automated Driving Systems (ADSs) face significant challenges. As a result, while ADSs continuously mature to higher Technology Readiness Levels (TRLs), novel SAMs emerging from academia struggle to surpass TRL2. In this paper, we propose the concept of a Methods Exploration Laboratory (MEL) using a scaled system as a less resourceintensive alternative for an initial application of novel SAMs to address these challenges and enable TRL3-4. This approach facilitates rapid prototyping and iteration of SAMs while maintaining essential features necessary for comprehensive validation. Requirements for the MEL are outlined, ensuring the applicability and evaluation of SAMs currently being developed to efficiently provide meaningful feedback for method developers. A feedback cycle is proposed, allowing iterative refinement of SAMs by comparing performance against state-of-the-art reference SAMs. The potential benefits of the MEL are discussed and weighted against the inherent limitations of using a laboratory environment. While shortcomings of SAMs can be identified and corrected, the MEL may not capture all potential failure modes or edge cases encountered by using the relevant environment of a full-scale ADS for SAM evaluation. However, despite identified constraints, the MEL poses a novel type of tool to enable feedback in early stages of the development process. In conclusion, the proposed concept represents a significant advancement in SAM development, offering a more accessible, controllable, and resource-efficient tool to reach the next intermediary step for the technological readiness of SAMs. Future research is required for the realization of the MEL to explore the adaptability to different types of SAMs and ADS configurations.

Technische Universität Darmstadt (DE)
Openalex Percentile: Top 59%
Safety Systems Engineering in Autonomy
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Lab Environments for Increasing the Technological Readiness of Safety Assurance Methods in AD — Steven Peters, Kai Storms, et al. · (2025) | TGRS Research Map | TGRS