ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1709.02435
  4. Cited By
An Analysis of ISO 26262: Using Machine Learning Safely in Automotive
  Software

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

7 September 2017
Rick Salay
Rodrigo Queiroz
Krzysztof Czarnecki
ArXiv (abs)PDFHTML

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

43 / 43 papers shown
Periodic Online Testing for Sparse Systolic Tensor Arrays
Periodic Online Testing for Sparse Systolic Tensor ArraysInternational Conference on Modern Circuits and Systems Technologies (ICMCST), 2025
C. Peltekis
Chrysostomos Nicopoulos
G. Dimitrakopoulos
280
1
0
25 Apr 2025
CyberCortex.AI: An AI-based Operating System for Autonomous Robotics and
  Complex Automation
CyberCortex.AI: An AI-based Operating System for Autonomous Robotics and Complex Automation
Sorin Grigorescu
Mihai V. Zaha
216
8
0
02 Sep 2024
Towards Robust Training Datasets for Machine Learning with Ontologies: A
  Case Study for Emergency Road Vehicle Detection
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
292
0
0
21 Jun 2024
Safety Implications of Explainable Artificial Intelligence in End-to-End Autonomous Driving
Safety Implications of Explainable Artificial Intelligence in End-to-End Autonomous Driving
Shahin Atakishiyev
Mohammad Salameh
Randy Goebel
724
15
0
18 Mar 2024
Testing autonomous vehicles and AI: perspectives and challenges from
  cybersecurity, transparency, robustness and fairness
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
333
16
0
21 Feb 2024
Evaluation of Out-of-Distribution Detection Performance on Autonomous
  Driving Datasets
Evaluation of Out-of-Distribution Detection Performance on Autonomous Driving Datasets
Jens Henriksson
C. Berger
Stig Ursing
Markus Borg
OODD
257
5
0
30 Jan 2024
AGNES: Abstraction-guided Framework for Deep Neural Networks Security
AGNES: Abstraction-guided Framework for Deep Neural Networks SecurityInternational Conference on Verification, Model Checking and Abstract Interpretation (VMCAI), 2023
Akshay Dhonthi
Marcello Eiermann
E. M. Hahn
Vahid Hashemi
AAML
295
0
0
07 Nov 2023
Co-Design of Out-of-Distribution Detectors for Autonomous Emergency
  Braking Systems
Co-Design of Out-of-Distribution Detectors for Autonomous Emergency Braking Systems
Michael Yuhas
Arvind Easwaran
305
2
0
25 Jul 2023
Model Reporting for Certifiable AI: A Proposal from Merging EU
  Regulation into AI Development
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
290
18
0
21 Jul 2023
A DPLL(T) Framework for Verifying Deep Neural Networks
A DPLL(T) Framework for Verifying Deep Neural Networks
Hai V. Duong
Thanh-Dat Nguyen
Matthew B. Dwyer
459
23
0
17 Jul 2023
Timeseries-aware Uncertainty Wrappers for Uncertainty Quantification of
  Information-Fusion-Enhanced AI Models based on Machine Learning
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
201
2
0
24 May 2023
Trustworthy, responsible, ethical AI in manufacturing and supply chains:
  synthesis and emerging research questions
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
269
8
0
19 May 2023
A Meta-Summary of Challenges in Building Products with ML Components --
  Collecting Experiences from 4758+ Practitioners
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
Jane Hsieh
377
62
0
31 Mar 2023
An investigation of licensing of datasets for machine learning based on
  the GQM model
An investigation of licensing of datasets for machine learning based on the GQM model
Junyu Chen
Norihiro Yoshida
Hiroaki Takada
205
2
0
24 Mar 2023
Monitoring of Perception Systems: Deterministic, Probabilistic, and
  Learning-based Fault Detection and Identification
Monitoring of Perception Systems: Deterministic, Probabilistic, and Learning-based Fault Detection and IdentificationArtificial Intelligence (AIJ), 2022
Pasquale Antonante
Heath Nilsen
Luca Carlone
248
32
0
22 May 2022
Understanding the Impact of Edge Cases from Occluded Pedestrians for ML
  Systems
Understanding the Impact of Edge Cases from Occluded Pedestrians for ML SystemsEUROMICRO Conference on Software Engineering and Advanced Applications (SEAA), 2021
Jens Henriksson
C. Berger
Stig Ursing
168
3
0
26 Apr 2022
Performance Analysis of Out-of-Distribution Detection on Trained Neural
  Networks
Performance Analysis of Out-of-Distribution Detection on Trained Neural NetworksInformation and Software Technology (Inf. Softw. Technol.), 2021
Jens Henriksson
C. Berger
Markus Borg
Lars Tornberg
S. Sathyamoorthy
Cristofer Englund
OODD
226
21
0
26 Apr 2022
A causal model of safety assurance for machine learning
A causal model of safety assurance for machine learning
Simon Burton
CML
302
7
0
14 Jan 2022
Collaboration Challenges in Building ML-Enabled Systems: Communication,
  Documentation, Engineering, and Process
Collaboration Challenges in Building ML-Enabled Systems: Communication, Documentation, Engineering, and Process
Nadia Nahar
Shurui Zhou
Grace A. Lewis
Jane Hsieh
VLM
384
171
0
19 Oct 2021
Taxonomy of Machine Learning Safety: A Survey and Primer
Taxonomy of Machine Learning Safety: A Survey and PrimerACM Computing Surveys (CSUR), 2021
Sina Mohseni
Haotao Wang
Zhiding Yu
Chaowei Xiao
Zinan Lin
J. Yadawa
366
50
0
09 Jun 2021
Software Engineering for AI-Based Systems: A Survey
Software Engineering for AI-Based Systems: A SurveyACM Transactions on Software Engineering and Methodology (TOSEM), 2021
Luís Cruz
Justus Bogner
Xavier Franch
Marc Oriol
Julien Siebert
Adam Trendowicz
Anna Maria Vollmer
Stefan Wagner
334
298
0
05 May 2021
Performance Analysis of Out-of-Distribution Detection on Various Trained
  Neural Networks
Performance Analysis of Out-of-Distribution Detection on Various Trained Neural NetworksEUROMICRO Conference on Software Engineering and Advanced Applications (SEAA), 2019
Jens Henriksson
C. Berger
Markus Borg
Lars Tornberg
S. Sathyamoorthy
Cristofer Englund
OODD
199
19
0
29 Mar 2021
A Review of Testing Object-Based Environment Perception for Safe
  Automated Driving
A Review of Testing Object-Based Environment Perception for Safe Automated DrivingAutomotive Innovation (AI), 2021
Michael Hoss
Maike Scholtes
L. Eckstein
221
59
0
16 Feb 2021
Cloud2Edge Elastic AI Framework for Prototyping and Deployment of AI
  Inference Engines in Autonomous Vehicles
Cloud2Edge Elastic AI Framework for Prototyping and Deployment of AI Inference Engines in Autonomous VehiclesItalian National Conference on Sensors (INS), 2020
Sorin Grigorescu
Tiberiu T. Cocias
Bogdan Trasnea
Andrea Margheri
Federico Lombardi
Leonardo Aniello
238
17
0
23 Sep 2020
Safety design concepts for statistical machine learning components
  toward accordance with functional safety standards
Safety design concepts for statistical machine learning components toward accordance with functional safety standards
Akihisa Morikawa
Yamato Matsubara
137
3
0
04 Aug 2020
Autonomous Driving with Deep Learning: A Survey of State-of-Art
  Technologies
Autonomous Driving with Deep Learning: A Survey of State-of-Art Technologies
Yu Huang
Yue Chen
3DPC
627
95
0
10 Jun 2020
FT-CNN: Algorithm-Based Fault Tolerance for Convolutional Neural
  Networks
FT-CNN: Algorithm-Based Fault Tolerance for Convolutional Neural NetworksIEEE Transactions on Parallel and Distributed Systems (TPDS), 2020
Kai Zhao
Sheng Di
Sihuan Li
Xin Liang
Yujia Zhai
Jieyang Chen
Kaiming Ouyang
Franck Cappello
Zizhong Chen
316
101
0
27 Mar 2020
Sample-Specific Output Constraints for Neural Networks
Sample-Specific Output Constraints for Neural NetworksAAAI Conference on Artificial Intelligence (AAAI), 2020
Mathis Brosowsky
Olaf Dünkel
Daniel Slieter
Marius Zöllner
AILawPINN
250
12
0
23 Mar 2020
Towards Probability-based Safety Verification of Systems with Components
  from Machine Learning
Towards Probability-based Safety Verification of Systems with Components from Machine Learning
H. Kaindl
Stefan Kramer
288
1
0
02 Mar 2020
A Structured Approach to Trustworthy Autonomous/Cognitive Systems
A Structured Approach to Trustworthy Autonomous/Cognitive Systems
H. Putzer
Ernest Wozniak
104
3
0
19 Feb 2020
Importance-Driven Deep Learning System Testing
Importance-Driven Deep Learning System TestingInternational Conference on Software Engineering (ICSE), 2020
Simos Gerasimou
Hasan Ferit Eniser
A. Sen
Alper Çakan
AAMLVLM
214
103
0
09 Feb 2020
A Survey of Deep Learning Applications to Autonomous Vehicle Control
A Survey of Deep Learning Applications to Autonomous Vehicle Control
Sampo Kuutti
Richard Bowden
Yaochu Jin
P. Barber
Saber Fallah
324
670
0
23 Dec 2019
Practical Solutions for Machine Learning Safety in Autonomous Vehicles
Practical Solutions for Machine Learning Safety in Autonomous Vehicles
Sina Mohseni
Mandar Pitale
Vasu Singh
Zinan Lin
286
73
0
20 Dec 2019
Algorithmic decision-making in AVs: Understanding ethical and technical
  concerns for smart cities
Algorithmic decision-making in AVs: Understanding ethical and technical concerns for smart cities
H. S. M. Lim
Araz Taeihagh
193
99
0
29 Oct 2019
A Survey of Deep Learning Techniques for Autonomous Driving
A Survey of Deep Learning Techniques for Autonomous Driving
Sorin Grigorescu
Bogdan Trasnea
Tiberiu T. Cocias
G. Macesanu
3DPC
453
1,662
0
17 Oct 2019
Automotive Cybersecurity: Foundations for Next-Generation Vehicles
Automotive Cybersecurity: Foundations for Next-Generation VehiclesItalian Conference on Theoretical Computer Science (ITCS), 2019
Michele Scalas
Giorgio Giacinto
159
28
0
02 Oct 2019
Towards Safe Machine Learning for CPS: Infer Uncertainty from Training
  Data
Towards Safe Machine Learning for CPS: Infer Uncertainty from Training DataInternational Conference on Cyber-Physical Systems (ICCPS), 2019
Xiaozhe Gu
Arvind Easwaran
185
31
0
11 Sep 2019
Deep Learning in the Automotive Industry: Recent Advances and
  Application Examples
Deep Learning in the Automotive Industry: Recent Advances and Application Examples
Kanwar Bharat Singh
M. Arat
OOD
183
26
0
20 Jun 2019
Engineering problems in machine learning systems
Engineering problems in machine learning systems
Hiroshi Kuwajima
Hirotoshi Yasuoka
Toshihiro Nakae
315
3
0
01 Apr 2019
Towards Structured Evaluation of Deep Neural Network Supervisors
Towards Structured Evaluation of Deep Neural Network SupervisorsInternational Conference on Artificial Intelligence Testing (ICAIT), 2019
Jens Henriksson
C. Berger
Markus Borg
Lars Tornberg
Cristofer Englund
S. Sathyamoorthy
Stig Ursing
AAML
236
39
0
04 Mar 2019
DeepFault: Fault Localization for Deep Neural Networks
DeepFault: Fault Localization for Deep Neural Networks
Hasan Ferit Eniser
Simos Gerasimou
A. Sen
AAML
217
95
0
15 Feb 2019
Traceability of Deep Neural Networks
Traceability of Deep Neural Networks
Vincent Aravantinos
Frederik Diehl
218
12
0
17 Dec 2018
Towards Accountable AI: Hybrid Human-Machine Analyses for Characterizing
  System Failure
Towards Accountable AI: Hybrid Human-Machine Analyses for Characterizing System Failure
Besmira Nushi
Ece Kamar
Eric Horvitz
363
153
0
19 Sep 2018
1
Page 1 of 1