Fetching the paper…
Reading the bibliography…
Machine learning (ML) plays an ever-increasing role in advanced automotive functionality for driver assistance and autonomous operation; however, its adequacy from the perspective of safety certification remains controversial.
G. E. Peterson, “Foundation for neural network verification and validation,” in Optical Engineering and Photonics in Aerospace Sensing . International Society for Optics and Photonics, 1993, pp. 196–207
1993
Earlier work this paper cites.
D. Bedford, G. Morgan, and J. Austin, “Requirements for a standard certifying the use of artificial neural networks in safety critical applications,” in Proceedings of the international conference on artificial neural networks , 1996
1996
Earlier work this paper cites.
R. Parasuraman and V. Riley, “Humans and automation: Use, misuse, disuse, abuse,” Human Factors: The Journal of the Human Factors and Ergonomics Society , vol. 39, no. 2, pp. 230–253, 1997
1997
Earlier work this paper cites.
A. B. Tickle, R. Andrews, M. Golea, and J. Diederich, “The truth will come to light: Directions and challenges in extracting the knowledge embedded within trained artificial neural networks,” IEEE Transactions on Neural Networks , vol. 9, no. 6, pp. 1057–1068, 1998
1998
Earlier work this paper cites.
D. M. Rodvold, “A software development process model for artificial neural networks in critical applications,” in Neural Networks, 1999. IJCNN’99. International Joint Conference on , vol. 5. IEEE, 1999, pp. 3317–3322
1999
Earlier work this paper cites.
I. Takanami, M. Sato, and Y. P. Yang, “A fault-value injection approach for multiple-weight-fault tolerance of MNNs,” in Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks , vol. 3. IEEE, 2000, pp. 515–520
2000
Earlier work this paper cites.
K. A. Brookhuis, D. De Waard, and W. H. Janssen, “Behavioural impacts of advanced driver assistance systems–an overview,” EJTIR , vol. 1, no. 3, pp. 245–253, 2001
2001
Earlier work this paper cites.
T. J. Perkins and A. G. Barto, “Lyapunov design for safe reinforcement learning,” Journal of Machine Learning Research , vol. 3, no. Dec, pp. 803–832, 2002
2002
Earlier work this paper cites.
J. N. Rouder and R. Ratcliff, “Comparing exemplar and rule-based theories of categorization,” Current Directions in Psychological Science , vol. 15, no. 1, pp. 9–13, 2006
2006
Earlier work this paper cites.
L. L. Pullum, B. J. Taylor, and M. A. Darrah, Guidance for the Verification and Validation of Neural Networks . John Wiley & Sons, 2007, vol. 11
2007
Earlier work this paper cites.
Z. Kurd, T. Kelly, and J. Austin, “Developing artificial neural networks for safety critical systems,” Neural Computing and Applications , vol. 16, no. 1, pp. 11–19, 2007
2007
Cited alongside, same era.
M. A. Goodrich and A. C. Schultz, “Human-robot interaction: a survey,” Foundations and Trends in Human-Computer Interaction , vol. 1, no. 3, pp. 203–275, 2007
2007
Cited alongside, same era.
J. Schumann, P. Gupta, and Y. Liu, “Application of neural networks in high assurance systems: A survey,” in Applications of Neural Networks in High Assurance Systems . Springer, 2010, pp. 1–19
2010
Cited alongside, same era.
ISO 26262: Road Vehicles – Functional Safety , International Organization for Standardization, 2011, 1 st version
2011
Cited alongside, same era.
B. Spanfelner, D. Richter, S. Ebel, U. Wilhelm, W. Branz, and C. Patz, “Challenges in applying the ISO 26262 for driver assistance systems,” Tagung Fahrerassistenz, München , vol. 15, no. 16, p. 2012, 2012
L. A. Hendricks, Z. Akata, M. Rohrbach, J. Donahue, B. Schiele, and T. Darrell, “Generating visual explanations,” in European Conference on Computer Vision . Springer, 2016, pp. 3–19
2016
Later among the works it cites.
2016
Later among the works it cites.
J. M. Sullivan, M. J. Flannagan, A. K. Pradhan, and S. Bao, Literature Review of Behavioral Adaptations to Advanced Driver Assistance Systems . AAA Foundation for Traffic Safety, 2016
2016
Later among the works it cites.
2016
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
2012
Cited alongside, same era.
R. van den Brule, R. Dotsch, G. Bijlstra, D. H. Wigboldus, and P. Haselager, “Do robot performance and behavioral style affect human trust?” International Journal of Social Robotics , vol. 6, no. 4, pp. 519–531, 2014
2014
Cited alongside, same era.
S. Bhattacharyya, D. Cofer, D. Musliner, J. Mueller, and E. Engstrom, “Certification considerations for adaptive systems,” in Unmanned Aircraft Systems (ICUAS), 2015 International Conference on . IEEE, 2015, pp. 270–279
2015
Cited alongside, same era.
P. Koopman and M. Wagner, “Challenges in autonomous vehicle testing and validation,” SAE International Journal of Transportation Safety , vol. 4, no. 2016-01-0128, pp. 15–24, 2016
2016
Cited alongside, same era.
K. R. Varshney, “Engineering safety in machine learning,” arXiv preprint arXiv:1601.04126 , 2016
2016
Cited alongside, same era.
2016
Cited alongside, same era.
ISO/AWI PAS 21448: Road Vehicles – Safety of the Intended Functionality , International Organization for Standardization, (under development)
Cited in the paper.
2016
Later among the works it cites.
2016
Later among the works it cites.
2016
Later among the works it cites.
2017
Closest in time.
H. Martin, K. Tschabuschnig, O. Bridal, and D. Watzenig, “Functional Safety of Automated Driving Systems: Does ISO 26262 Meet the Challenges?” in Automated Driving . Springer, 2017, pp. 387–416
2017
Closest in time.
M. Henzel, H. Winner, and B. Lattke, “Herausforderungen in der Absicherung von Fahrerassistenzsystemen bei der Benutzung maschinell gelernter und lernenden Algorithmen,” in Proceedings of 11th Workshop Fahrerassistenzsysteme und automatisiertes Fahren (FAS) , 2017, pp. 136–148
2017
Closest in time.