Controllable Planning, Responsibility, and Information in Automatic Driving Technology

TL;DR

This paper discusses the importance of controllability, responsibility, and information management in automated driving to ensure safety, accountability, and security, addressing common misunderstandings in these areas.

Contribution

It provides a detailed analysis of controllable planning, responsibility, and information issues in autonomous driving, clarifying misconceptions and highlighting key challenges.

Findings

Identifies core issues in controllable planning, responsibility, and information in autonomous driving.

Clarifies misunderstandings related to safety and security in automated driving.

Highlights the importance of addressing these issues for reliable and responsible autonomous vehicles.

Abstract

People hope automated driving technology should be always in a stable and controllable state, accurately, which can be divided into controllable planning, responsibility, and information. Otherwise, it would bring about the problems of tram dilemma, responsibility attribution, information leakage, and security. This article discusses these three types of issues separately and clarifies some misunderstandings.