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The Controllability of Planning, Responsibility, and Security in Automatic Driving Technology

arXiv 2102.00617 ↗First posted 1 Feb 2021cs.AIcited by 0

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Abstract (arXiv)

People hope automated driving technology is always in a stable and controllable state; specifically, it can be divided into controllable planning, controllable responsibility, and controllable information. When this controllability is undermined, it brings about the problems, e.g., trolley dilemma, responsibility attribution, information leakage, and security. This article discusses these three types of issues separately and clarifies the misunderstandings.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 3 of its 16 references that are in the map. First posted on arXiv 1 Feb 2021.

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3 of 16 references.

References · 3

  1. 2017Mitigating Adversarial Effects Through Randomizationcited by 382
  2. 2015The social dilemma of autonomous vehiclescited by 47
  3. 2018Deep Learning for Signal Authentication and Security in Massive Internet of Things Systemscited by 6

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