Autonomous Vehicle Safety: An Interdisciplinary Challenge
By P. Koopman, Michael D. Wagner. IEEE Intelligent Transportation Systems Magazine, 2017
612 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Automotive Engineering, Software
View Paper: https://www.semanticscholar.org/paper/f5182bf3b13bc2bb18074933acc9c198efe102c8
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In Artificial Intelligence
In Automotive Engineering
In Software
Citations in the corpus
- Trustworthy artificial intelligence (2020, background): “…non-maleficence principle especially investigated means for the development and deployment of safe and secure AI in the areas of autonomous driving (Koopman and Wagner 2017) and medicine (Wiens et al. 2019), the non-maleficence principle is highly important for electronic markets due to the…”
- Autonomous Cars: Research Results, Issues, and Future Challenges (2019, methodology): “[146] and Koopman and Wagner [147] argued for novel methods for safety validation for the autonomous car system.”
- A Survey on the Internet of Things (IoT) Forensics: Challenges, Approaches, and Open Issues (2020, background): “After all, the social acceptance of autonomous vehicles lies on the premise that autonomous vehicles will, on the whole, be safer drivers than people [149].”