Automated optical detection of particles and defects on a Li-Ion-cell surface using a single-point analysis. - Gisela Lanza; Adrian Koelmel; Steven Peters; Anna Sauer; Stefan Stockey (CASE, 2013)

A readiness level model for new manufacturing technologies. - Steven Peters (Prod. Eng., 2015)

Towards CRISP-ML(Q): A Machine Learning Process Model with Quality Assurance Methodology. - Stefan Studer; Thanh Binh Bui; Christian Drescher; Alexander Hanuschkin; Ludwig Winkler; Steven Peters; Klaus-Robert Müller (Mach. Learn. Knowl. Extr., 2021)

The Inadequacy of Discrete Scenarios in Assessing Deep Neural Networks. - Ken T. Mori; Xu Liang; Lukas Elster; Steven Peters (IEEE Access, 2022)

Deep reinforcement learning for gearshift controllers in automatic transmissions. - Gerd Gaiselmann; Stefan Altenburg; Stefan Studer; Steven Peters (Array, 2022)

DAVE Aquatic Virtual Environment: Toward a General Underwater Robotics Simulator. - Mabel M. Zhang; Woen-Sug Choi; Jessica Herman; Duane Davis; Carson Vogt; Michael McCarrin; Yadunund Vijay; Dharini Dutia; William Lew; Steven Peters; Brian Bingham (CoRR, 2022)

Towards Establishing Systematic Classification Requirements for Automated Driving. - Ken T. Mori; Trent Brown; Steven Peters (IV, 2023)

Conservative Estimation of Perception Relevance of Dynamic Objects for Safe Trajectories in Automotive Scenarios. - Ken Mori; Kai Storms; Steven Peters (MOST, 2023)

SURE-Val: Safe Urban Relevance Extension and Validation. - Kai Storms; Ken Mori; Steven Peters (CoRR, 2023)

A new Taxonomy for Automated Driving: Structuring Applications based on their Operational Design Domain, Level of Automation and Automation Readiness. - Johannes Betz; Melina Lutwitzi; Steven Peters (CoRR, 2024)

Methodology for a Statistical Analysis of Influencing Factors on 3D Object Detection Performance. - Anton Kuznietsov; Dirk Schweickard; Steven Peters (CoRR, 2024)

SHARD: Safety and Human Performance Analysis for Requirements in Detection. - Ken T. Mori; Steven Peters (IEEE Trans. Intell. Veh., 2024)

PRORETA 5 - building blocks for automated urban driving enhancing city road safety. - Christoph Popp; Andreas Serov; Felix Glatzki; Christoph Ziegler; Andreea-Iulia Olaru; Jaime Maldonado 001; Joachim Clemens; Jürgen Adamy; Maxim Arbitmann; Florin Leon; Steven Peters; Kerstin Schill; et al. (Autom., 2024)

Acceptance and Trust: Drivers' First Contact With Released Automated Vehicles in Naturalistic Traffic. - Sarah Schwindt-Drews; Kai Storms; Steven Peters; Bettina Abendroth (IEEE Trans. Intell. Transp. Syst., 2024)

Explainable AI for Safe and Trustworthy Autonomous Driving: A Systematic Review. - Anton Kuznietsov; Balint Gyevnar; Cheng Wang 023; Steven Peters; Stefano V. Albrecht (IEEE Trans. Intell. Transp. Syst., 2024)

Towards more efficient quantitative safety validation of residual risk for assisted and automated driving. - Daniel Betschinske; Malte Schrimpf; Steven Peters; Kamil Klonecki; Jan Peter Karch; Moritz Lippert (CoRR, 2025)

Foundation Models in Autonomous Driving: A Survey on Scenario Generation and Scenario Analysis. - Yuan Gao; Mattia Piccinini; Yuchen Zhang; Dingrui Wang; Korbinian Möller; Roberto Brusnicki; Baha Zarrouki; Alessio Gambi; Jan Frederik Totz; Kai Storms; Steven Peters; Andrea Stocco 001; et al. (CoRR, 2025)

Improving AEBS Validation Through Objective Intervention Classification Leveraging the Prediction Divergence Principle. - Daniel Betschinske; Steven Peters (CoRR, 2025)