The ZuSE-KI-Mobil AI Accelerator SoC: Overview and a Functional Safety Perspective

Author:

Kempf Fabian1,Hoefer Julian1,Harbaum Tanja1,Becker Juergen1,Fasfous Nael2,Frickenstein Alexander2,Voegel Hans-Joerg2,Friedrich Simon3,Wittig Robert3,Matúš Emil3,Fettweis Gerhard3,Lueders Matthias4,Blume Holger4,Benndorf Jens5,Grantz Darius5,Zeller Martin5,Engelke Dietmar5,Eickel Karl-Heinz5

Affiliation:

1. 1Karlsruhe Institute of Technology (KIT),Karlsruhe,Germany

2. Bayerische Motoren Werke Aktiengesellschaft (BMW AG),Munich,Germany

3. Technical University of Dresden (TUD),Dresden,Germany

4. Leibniz University Hannover (LUH),Hannover,Germany

5. Dream Chip Technologies GmbH,Hannover,Germany

Funder

German Federal Ministry of Education and Research (BMBF)

Publisher

IEEE

Reference15 articles.

1. Mind the Scaling Factors: Resilience Analysis of Quantized Adversarially Robust CNNs

2. Fast is better than free: Revisiting adversarial training;wong;ICLRE,2020

3. Runtime Adaptive Cache Checkpointing for RISC Multi-Core Processors

4. An Adaptive Lockstep Architecture for Mixed-Criticality Systems

5. Explaining and Harnessing Adversarial Examples;goodfellow;ICLRE,2015

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1. An Automotive Vision SoC Platform from IVI to AD Level 4;2023 IEEE 36th International System-on-Chip Conference (SOCC);2023-09-05

2. A Hardware-Aware Sampling Parameter Search for Efficient Probabilistic Object Detection;Lecture Notes in Computer Science;2023

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