EykholtK.EvtimovI.FernandesE.LiB.RahmatiA.XiaoC.PrakashA.KohnoT.SongD. (2018). Robust physical-world attacks on deep learning visual classification. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (pp. 1625–1634).
2.
HoffK. A.BashirM. (2015). Trust in automation: Integrating empirical evidence on factors that influence trust. Human Factors, 57, 407–434. https://doi.org/10.1177/0018720814547570
3.
KyriakidisM.HappeeR.De WinterJ. C. F. (2015). Public opinion on automated driving: Results of an international questionnaire among 5000 respondents. Transportation Research Part F: Traffic Psychology and Behaviour, 32, 127–140. https://doi.org/10.1016/j.trf.2015.04.014
SAE. (2016). Taxonomy and Definitions for Terms Related to Driving Automation Systems for On-Road Motor Vehicles. In SAE International (Vol. J3016, pp. 1–12). https://doi.org/10.4271/J3016_201609
6.
TenhundfeldN. L.de VisserE. J.RiesA. J.FinomoreV. S.TossellC. C. (2020). Trust and Distrust of Automated Parking in a Tesla Model X. Human Factors, 62, 194–210. https://doi.org/10.1177/0018720819865412