Legislating autonomous vehicles against the backdrop of adversarial machine learning findings

研究成果: Chapter in Book/Report/Conference proceedingConference contribution

抜粋

Recent studies on adversarial machine learning1 made Michael Grossman, a Texas-based injury lawyer, skeptical of the viability of autonomous vehicles.2 These studies had pointed out that adversarial attacks or perturbations on pictures makes it difficult for the algorithm to correctly classify the content of that picture. If this is applied to traffic sign recognition, simple graffiti on the sign could mislead the algorithm that is analyzing the picture of the traffic sign captured by the camera. 3 Rather than recognizing the traffic sign for what it is, the algorithm could attribute a different meaning to the traffic sign. The consequences could be disastrous, especially if, for example, a stop sign would be read as a speeding sign.4 When rational car manufacturers know this defect, they will not proceed with the marketing of autonomous vehicles.

元の言語英語
ホスト出版物のタイトル2019 8th IEEE International Conference on Connected Vehicles and Expo, ICCVE 2019 - Proceedings
出版者Institute of Electrical and Electronics Engineers Inc.
ISBN(電子版)9781728101422
DOI
出版物ステータス出版済み - 11 2019
イベント8th IEEE International Conference on Connected Vehicles and Expo, ICCVE 2019 - Graz, オーストリア
継続期間: 11 4 201911 8 2019

出版物シリーズ

名前2019 8th IEEE International Conference on Connected Vehicles and Expo, ICCVE 2019 - Proceedings

会議

会議8th IEEE International Conference on Connected Vehicles and Expo, ICCVE 2019
オーストリア
Graz
期間11/4/1911/8/19

All Science Journal Classification (ASJC) codes

  • Control and Optimization
  • Transportation
  • Computer Networks and Communications
  • Automotive Engineering

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  • これを引用

    Van Uytsel, S. (2019). Legislating autonomous vehicles against the backdrop of adversarial machine learning findings. : 2019 8th IEEE International Conference on Connected Vehicles and Expo, ICCVE 2019 - Proceedings [8965002] (2019 8th IEEE International Conference on Connected Vehicles and Expo, ICCVE 2019 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCVE45908.2019.8965002