An Analysis of ISO 26262: Using Machine Learning Safely in Automotive Software

7 September 2017

Papers citing "An Analysis of ISO 26262: Using Machine Learning Safely in Automotive Software"

43 / 43 papers shown

Title
Periodic Online Testing for Sparse Systolic Tensor Arrays C. Peltekis Chrysostomos Nicopoulos G. Dimitrakopoulos 71 0 0 25 Apr 2025
CyberCortex.AI: An AI-based Operating System for Autonomous Robotics and Complex Automation Sorin Grigorescu Mihai V. Zaha 39 5 0 02 Sep 2024
Towards Robust Training Datasets for Machine Learning with Ontologies: A Case Study for Emergency Road Vehicle Detection Lynn Vonderhaar Timothy Elvira T. Procko Omar Ochoa 85 0 0 21 Jun 2024
Safety Implications of Explainable Artificial Intelligence in End-to-End Autonomous Driving Shahin Atakishiyev Mohammad Salameh Randy Goebel 239 6 0 18 Mar 2024
Testing autonomous vehicles and AI: perspectives and challenges from cybersecurity, transparency, robustness and fairness David Fernández Llorca Ronan Hamon Henrik Junklewitz Kathrin Grosse Lars Kunze ... Nick Reed Alexandre Alahi Emilia Gómez Ignacio E. Sánchez Á. Kriston 92 5 0 21 Feb 2024
Evaluation of Out-of-Distribution Detection Performance on Autonomous Driving Datasets Jens Henriksson C. Berger Stig Ursing Markus Borg OODD 54 2 0 30 Jan 2024
AGNES: Abstraction-guided Framework for Deep Neural Networks Security Akshay Dhonthi Marcello Eiermann E. M. Hahn Vahid Hashemi AAML 69 0 0 07 Nov 2023
Co-Design of Out-of-Distribution Detectors for Autonomous Emergency Braking Systems Michael Yuhas Arvind Easwaran 106 1 0 25 Jul 2023
Model Reporting for Certifiable AI: A Proposal from Merging EU Regulation into AI Development Danilo Brajovic Niclas Renner Vincent Philipp Goebels Philipp Wagner Benjamin Frész M. Biller Mara Klaeb Janika Kutz Jens Neuhuettler Marco F. Huber 67 10 0 21 Jul 2023
A DPLL(T) Framework for Verifying Deep Neural Networks Hai V. Duong Thanh-Dat Nguyen Matthew B. Dwyer 81 10 0 17 Jul 2023
Timeseries-aware Uncertainty Wrappers for Uncertainty Quantification of Information-Fusion-Enhanced AI Models based on Machine Learning Janek Groß Michael Kläs Lisa Jöckel Pascal Gerber 25 2 0 24 May 2023
Trustworthy, responsible, ethical AI in manufacturing and supply chains: synthesis and emerging research questions Alexandra Brintrup George Baryannis Ashutosh Tiwari S. Ratchev Giovanna Martínez-Arellano Jatinder Singh 66 3 0 19 May 2023
A Meta-Summary of Challenges in Building Products with ML Components -- Collecting Experiences from 4758+ Practitioners Nadia Nahar Haoran Zhang Grace A. Lewis Shurui Zhou Christian Kastner 102 38 0 31 Mar 2023
An investigation of licensing of datasets for machine learning based on the GQM model Junyu Chen Norihiro Yoshida Hiroaki Takada 57 2 0 24 Mar 2023
Monitoring of Perception Systems: Deterministic, Probabilistic, and Learning-based Fault Detection and Identification Pasquale Antonante Heath Nilsen Luca Carlone 89 25 0 22 May 2022
Understanding the Impact of Edge Cases from Occluded Pedestrians for ML Systems Jens Henriksson C. Berger Stig Ursing 59 3 0 26 Apr 2022
Performance Analysis of Out-of-Distribution Detection on Trained Neural Networks Jens Henriksson C. Berger Markus Borg Lars Tornberg S. Sathyamoorthy Cristofer Englund OODD 62 20 0 26 Apr 2022
A causal model of safety assurance for machine learning Simon Burton CML 75 5 0 14 Jan 2022
Collaboration Challenges in Building ML-Enabled Systems: Communication, Documentation, Engineering, and Process Nadia Nahar Shurui Zhou Grace A. Lewis Christian Kastner VLM 112 131 0 19 Oct 2021
Taxonomy of Machine Learning Safety: A Survey and Primer Sina Mohseni Haotao Wang Zhiding Yu Chaowei Xiao Zhangyang Wang J. Yadawa 84 32 0 09 Jun 2021
Software Engineering for AI-Based Systems: A Survey Silverio Martínez-Fernández Justus Bogner Xavier Franch Marc Oriol Julien Siebert Adam Trendowicz Anna Maria Vollmer Stefan Wagner 107 231 0 05 May 2021
Performance Analysis of Out-of-Distribution Detection on Various Trained Neural Networks Jens Henriksson C. Berger Markus Borg Lars Tornberg S. Sathyamoorthy Cristofer Englund OODD 83 17 0 29 Mar 2021
A Review of Testing Object-Based Environment Perception for Safe Automated Driving Michael Hoss Maike Scholtes L. Eckstein 74 49 0 16 Feb 2021
Cloud2Edge Elastic AI Framework for Prototyping and Deployment of AI Inference Engines in Autonomous Vehicles Sorin Grigorescu Tiberiu T. Cocias Bogdan Trasnea Andrea Margheri Federico Lombardi Leonardo Aniello 51 15 0 23 Sep 2020
Safety design concepts for statistical machine learning components toward accordance with functional safety standards Akihisa Morikawa Yamato Matsubara 24 3 0 04 Aug 2020
Autonomous Driving with Deep Learning: A Survey of State-of-Art Technologies Yu Huang Yue Chen 3DPC 166 85 0 10 Jun 2020
FT-CNN: Algorithm-Based Fault Tolerance for Convolutional Neural Networks Kai Zhao Sheng Di Sihuan Li Xin Liang Yujia Zhai Jieyang Chen Kaiming Ouyang Franck Cappello Zizhong Chen 83 81 0 27 Mar 2020
Sample-Specific Output Constraints for Neural Networks Mathis Brosowsky Olaf Dünkel Daniel Slieter Marius Zöllner AILaw PINN 66 10 0 23 Mar 2020
Towards Probability-based Safety Verification of Systems with Components from Machine Learning H. Kaindl Stefan Kramer 47 1 0 02 Mar 2020
A Structured Approach to Trustworthy Autonomous/Cognitive Systems H. Putzer Ernest Wozniak 12 3 0 19 Feb 2020
Importance-Driven Deep Learning System Testing Simos Gerasimou Hasan Ferit Eniser A. Sen Alper Çakan AAML VLM 91 98 0 09 Feb 2020
A Survey of Deep Learning Applications to Autonomous Vehicle Control Sampo Kuutti Richard Bowden Yaochu Jin P. Barber Saber Fallah 111 522 0 23 Dec 2019
Practical Solutions for Machine Learning Safety in Autonomous Vehicles Sina Mohseni Mandar Pitale Vasu Singh Zhangyang Wang 84 68 0 20 Dec 2019
Algorithmic decision-making in AVs: Understanding ethical and technical concerns for smart cities H. S. M. Lim Araz Taeihagh 66 83 0 29 Oct 2019
A Survey of Deep Learning Techniques for Autonomous Driving Sorin Grigorescu Bogdan Trasnea Tiberiu T. Cocias G. Macesanu 3DPC 107 1,408 0 17 Oct 2019
Automotive Cybersecurity: Foundations for Next-Generation Vehicles Michele Scalas Giorgio Giacinto 22 23 0 02 Oct 2019
Towards Safe Machine Learning for CPS: Infer Uncertainty from Training Data Xiaozhe Gu Arvind Easwaran 54 30 0 11 Sep 2019
Deep Learning in the Automotive Industry: Recent Advances and Application Examples Kanwar Bharat Singh M. Arat OOD 33 19 0 20 Jun 2019
Engineering problems in machine learning systems Hiroshi Kuwajima Hirotoshi Yasuoka Toshihiro Nakae 32 3 0 01 Apr 2019
Towards Structured Evaluation of Deep Neural Network Supervisors Jens Henriksson C. Berger Markus Borg Lars Tornberg Cristofer Englund S. Sathyamoorthy Stig Ursing AAML 49 37 0 04 Mar 2019
DeepFault: Fault Localization for Deep Neural Networks Hasan Ferit Eniser Simos Gerasimou A. Sen AAML 76 87 0 15 Feb 2019
Traceability of Deep Neural Networks Vincent Aravantinos Frederik Diehl 47 12 0 17 Dec 2018
Towards Accountable AI: Hybrid Human-Machine Analyses for Characterizing System Failure Besmira Nushi Ece Kamar Eric Horvitz 58 141 0 19 Sep 2018