Steven Peters

According to our database, Steven Peters authored at least 18 papers between 2013 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Improving AEBS Validation Through Objective Intervention Classification Leveraging the Prediction Divergence Principle.

Daniel Betschinske, Steven Peters

CoRR, July, 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, Bassam Alrifaee, Marco Pavone, Johannes Betz

CoRR, June, 2025

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, June, 2025

2024

Explainable AI for Safe and Trustworthy Autonomous Driving: A Systematic Review.

Anton Kuznietsov, Balint Gyevnar, Cheng Wang, Steven Peters, Stefano V. Albrecht

IEEE Trans. Intell. Transp. Syst., December, 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., November, 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, Joachim Clemens, Jürgen Adamy, Maxim Arbitmann, Florin Leon, Steven Peters, Kerstin Schill, Sighard Schräbler, Hermann Winner

Autom., April, 2024

SHARD: Safety and Human Performance Analysis for Requirements in Detection.

Ken T. Mori, Steven Peters

IEEE Trans. Intell. Veh., January, 2024

Methodology for a Statistical Analysis of Influencing Factors on 3D Object Detection Performance.

Anton Kuznietsov, Dirk Schweickard, Steven Peters

CoRR, 2024

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

2023

SURE-Val: Safe Urban Relevance Extension and Validation.

Kai Storms, Ken Mori, Steven Peters

CoRR, 2023

Conservative Estimation of Perception Relevance of Dynamic Objects for Safe Trajectories in Automotive Scenarios.

Ken Mori, Kai Storms, Steven Peters

Proceedings of the IEEE International Conference on Mobility, 2023

Towards Establishing Systematic Classification Requirements for Automated Driving.

Ken T. Mori, Trent Brown, Steven Peters

Proceedings of the IEEE Intelligent Vehicles Symposium, 2023

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

Deep reinforcement learning for gearshift controllers in automatic transmissions.

Gerd Gaiselmann, Stefan Altenburg, Stefan Studer, Steven Peters

Array, 2022

The Inadequacy of Discrete Scenarios in Assessing Deep Neural Networks.

Ken T. Mori, Xu Liang, Lukas Elster, Steven Peters

IEEE Access, 2022

2021

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

2015

A readiness level model for new manufacturing technologies.

Steven Peters

Prod. Eng., 2015

2013

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

Proceedings of the 2013 IEEE International Conference on Automation Science and Engineering, 2013