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Steven Peters
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2020 – today
- 2024
- [j6]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:
PRORETA 5 - building blocks for automated urban driving enhancing city road safety. Autom. 72(4): 293-307 (2024) - [j5]Ken T. Mori, Steven Peters:
SHARD: Safety and Human Performance Analysis for Requirements in Detection. IEEE Trans. Intell. Veh. 9(1): 3010-3021 (2024) - [i8]Anton Kuznietsov, Balint Gyevnar, Cheng Wang, Steven Peters, Stefano V. Albrecht:
Explainable AI for Safe and Trustworthy Autonomous Driving: A Systematic Review. CoRR abs/2402.10086 (2024) - [i7]Johannes Betz, Melina Lutwitzi, Steven Peters:
A new Taxonomy for Automated Driving: Structuring Applications based on their Operational Design Domain, Level of Automation and Automation Readiness. CoRR abs/2404.17044 (2024) - 2023
- [c3]Ken T. Mori, Trent Brown, Steven Peters:
Towards Establishing Systematic Classification Requirements for Automated Driving. IV 2023: 1-8 - [c2]Ken Mori, Kai Storms, Steven Peters:
Conservative Estimation of Perception Relevance of Dynamic Objects for Safe Trajectories in Automotive Scenarios. MOST 2023: 83-95 - [i6]Ken Mori, Kai Storms, Steven Peters:
Conservative Estimation of Perception Relevance of Dynamic Objects for Safe Trajectories in Automotive Scenarios. CoRR abs/2307.10873 (2023) - [i5]Ken T. Mori, Trent Brown, Steven Peters:
Towards Establishing Systematic Classification Requirements for Automated Driving. CoRR abs/2307.14058 (2023) - [i4]Kai Storms, Ken Mori, Steven Peters:
SURE-Val: Safe Urban Relevance Extension and Validation. CoRR abs/2308.02266 (2023) - [i3]Sarah Schwindt-Drews, Kai Storms, Steven Peters, Bettina Abendroth:
Acceptance and Trust: Drivers' First Contact with Released Automated Vehicles in Naturalistic Traffic. CoRR abs/2312.08957 (2023) - 2022
- [j4]Ken T. Mori, Xu Liang, Lukas Elster, Steven Peters:
The Inadequacy of Discrete Scenarios in Assessing Deep Neural Networks. IEEE Access 10: 118236-118242 (2022) - [j3]Gerd Gaiselmann, Stefan Altenburg, Stefan Studer, Steven Peters:
Deep reinforcement learning for gearshift controllers in automatic transmissions. Array 15: 100235 (2022) - [i2]Mabel M. Zhang, Woen-Sug Choi, Jessica Herman, Duane Davis, Carson Vogt, Michael McCarrin, Yadunund Vijay, Dharini Dutia, William Lew, Steven Peters, Brian Bingham:
DAVE Aquatic Virtual Environment: Toward a General Underwater Robotics Simulator. CoRR abs/2209.02862 (2022) - 2021
- [j2]Stefan Studer, Thanh Binh Bui, Christian Drescher, Alexander Hanuschkin, Ludwig Winkler, Steven Peters, Klaus-Robert Müller:
Towards CRISP-ML(Q): A Machine Learning Process Model with Quality Assurance Methodology. Mach. Learn. Knowl. Extr. 3(2): 392-413 (2021) - 2020
- [i1]Stefan Studer, Thanh Binh Bui, Christian Drescher, Alexander Hanuschkin, Ludwig Winkler, Steven Peters, Klaus-Robert Müller:
Towards CRISP-ML(Q): A Machine Learning Process Model with Quality Assurance Methodology. CoRR abs/2003.05155 (2020)
2010 – 2019
- 2015
- [j1]Steven Peters:
A readiness level model for new manufacturing technologies. Prod. Eng. 9(5-6): 647-654 (2015) - 2013
- [c1]Gisela Lanza, Adrian Koelmel, Steven Peters, Anna Sauer, Stefan Stockey:
Automated optical detection of particles and defects on a Li-Ion-cell surface using a single-point analysis. CASE 2013: 675-680
Coauthor Index
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