Papers
Topics
Authors
Recent
Detailed Answer
Quick Answer
Concise responses based on abstracts only
Detailed Answer
Well-researched responses based on abstracts and relevant paper content.
Custom Instructions Pro
Preferences or requirements that you'd like Emergent Mind to consider when generating responses
Gemini 2.5 Flash
Gemini 2.5 Flash 28 tok/s
Gemini 2.5 Pro 40 tok/s Pro
GPT-5 Medium 16 tok/s Pro
GPT-5 High 13 tok/s Pro
GPT-4o 103 tok/s Pro
Kimi K2 197 tok/s Pro
GPT OSS 120B 471 tok/s Pro
Claude Sonnet 4 38 tok/s Pro
2000 character limit reached

Run-Time Risk Mitigation in Automated Vehicles: A Model for Studying Preparatory Steps (1709.02560v1)

Published 8 Sep 2017 in cs.SY, cs.RO, and cs.SE

Abstract: We assume that autonomous or highly automated driving (AD) will be accompanied by tough assurance obligations exceeding the requirements of even recent revisions of ISO 26262 or SOTIF. Hence, automotive control and safety engineers have to (i) comprehensively analyze the driving process and its control loop, (ii) identify relevant hazards stemming from this loop, (iii) establish feasible automated measures for the effective mitigation of these hazards or the alleviation of their consequences. By studying an example, this article investigates some achievements in the modeling for the steps (i), (ii), and (iii), amenable to formal verification of desired properties derived from potential assurance obligations such as the global existence of an effective mitigation strategy. In addition, the proposed approach is meant for step-wise refinement towards the automated synthesis of AD safety controllers implementing such properties.

Citations (4)
List To Do Tasks Checklist Streamline Icon: https://streamlinehq.com

Collections

Sign up for free to add this paper to one or more collections.

Summary

We haven't generated a summary for this paper yet.

Dice Question Streamline Icon: https://streamlinehq.com

Follow-Up Questions

We haven't generated follow-up questions for this paper yet.

Authors (1)