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Safety Decision of Running Speed Based on Real-time Weather
Tsinghua Univ, Boulder, CO 80305 USA..
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2022 (English)In: 2022 IEEE intelligent vehicles symposium (IV), Institute of Electrical and Electronics Engineers (IEEE) , 2022, p. 212-217Conference paper, Published paper (Refereed)
Abstract [en]

The safety of autonomous vehicles is hard to ensure in adverse weather since the sensors will degrade drastically. Setting a variable speed limit based on real-time weather condition is the most efficient method to make the vehicle safe. But most current speed limit methods are based on human visibility rather than the sensor, which is not suitable for autonomous vehicles. Thus, it is necessary to explore the performance of sensors in different weathers and propose a speed limit method based on sensor performance. Safety decisions will be made based on the calculated speed limit to ensure safety. This paper describes how to make safety decisions based on sensor performance and road conditions in real-time. The experiment explores the degradation of different sensors, and variable speed limit methods are proposed for rainy and foggy days. MPC controller is used to generate safety decisions.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE) , 2022. p. 212-217
Series
IEEE Intelligent Vehicles Symposium, ISSN 1931-0587
National Category
Vehicle Engineering
Identifiers
URN: urn:nbn:se:kth:diva-320510DOI: 10.1109/IV51971.2022.9827365ISI: 000854106700030Scopus ID: 2-s2.0-85135372012OAI: oai:DiVA.org:kth-320510DiVA, id: diva2:1705521
Conference
33rd IEEE Intelligent Vehicles Symposium (IEEE IV), JUN 05-09, 2022, Aachen, GERMANY
Note

Part of proceedings ISBN 978-1-6654-8821-1

QC 20221024

Available from: 2022-10-24 Created: 2022-10-24 Last updated: 2023-07-19Bibliographically approved

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf