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Meng Chen 0008
Person information
- affiliation (PhD 2021): University of Ulm, Germany
- affiliation: Daimler AG, Sindelfingen, Functional Safety, Germany
Other persons with the same name
- Meng Chen — disambiguation page
- Meng Chen 0001 (aka: Chen Meng 0001) — Xiangtan University, Hunan Key Laboratory for Computation and Simulation in Science and Engineering, School of Mathematics and Computational Science, China
- Meng Chen 0002 — North China Electric Power University, State Key Laboratory for Alternate Electrical Power System with Renewable Energy Source, Beijing, China
- Meng Chen 0003 — York University, School of Information Technology, Toronto, Canada (and 1 more)
- Meng Chen 0004 — Institute of Aerospace System Engineering, Shanghai, China (and 1 more)
- Meng Chen 0005 — Tsinghua University, Department of Computer Science and Technology, Beijing, China
- Meng Chen 0006 — JD AI, Beijing, China
- Meng Chen 0007 — City University of Hong Kong, Shenzhen Research Institute, Department of Mechanical Engineering, China
- Meng Chen 0009 — University of Science and Technology of China, School of Management, International Institute of Finance, School of Management, Hefei, China (and 1 more)
- Meng Chen 0010 — Nanchang University, Institute of Mathematics and Interdisciplinary Sciences, China (and 1 more)
- Meng Chen 0011 — Zhejiang University, School of Cyber Science and Technology, College of Computer Science and Technology, China
- Meng Chen 0012 — Webster University, Wien, Austria (and 2 more)
- Meng Chen 0013 — Ningbo University of Technology, School of Cyber Science and Engineering, China
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Books and Theses
- 2021
- [b1]Meng Chen:
Causal modeling and reasoning for identifying functional deficiencies of automated driving systems. University of Ulm, Germany, 2021
Conference and Workshop Papers
- 2018
- [c2]Meng Chen, Andreas Knapp, Klaus Dietmayer:
Possibilistic Causal Reasoning Approach to Functional Deficiency Diagnosis of Automated Driving System. ICSRS 2018: 333-339 - [c1]Meng Chen, Andreas Knapp, Martin Pohl, Klaus Dietmayer:
Taming Functional Deficiencies of Automated Driving Systems: a Methodology Framework toward Safety Validation. Intelligent Vehicles Symposium 2018: 1918-1924
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