Safety assessment of autonomous cars using verification techniques

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34 Scopus citations

Abstract

A common requirement for autonomous cars is a safe locomotion which is evaluated by the method of hybrid verification applied online. The approach checks avoidance of static obstacles and dynamic traffic participants, which are described by imprecise data on their positions and velocities. The nonlinear dynamics of the autonomous car and other traffic participants is conservatively abstracted to Markov chains, which allows the efficient computation of their future positions probabilistically. The result is the probability of a crash for a given time horizon, showing if a given control strategy may lead to unsafe situations.

Original languageEnglish
Title of host publicationProceedings of the 2007 American Control Conference, ACC
Pages4154-4159
Number of pages6
DOIs
StatePublished - 2007
Event2007 American Control Conference, ACC - New York, NY, United States
Duration: 9 Jul 200713 Jul 2007

Publication series

NameProceedings of the American Control Conference
ISSN (Print)0743-1619

Conference

Conference2007 American Control Conference, ACC
Country/TerritoryUnited States
CityNew York, NY
Period9/07/0713/07/07

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