Using online verification to prevent autonomous vehicles from causing accidents

Christian Pek*, Stefanie Manzinger, Markus Koschi, Matthias Althoff

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

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Abstract

Ensuring that autonomous vehicles do not cause accidents remains a challenge. We present a formal verification technique for guaranteeing legal safety in arbitrary urban traffic situations. Legal safety means that autonomous vehicles never cause accidents although other traffic participants are allowed to perform any behaviour in accordance with traffic rules. Our technique serves as a safety layer for existing motion planning frameworks that provide intended trajectories for autonomous vehicles. We verify whether intended trajectories comply with legal safety and provide fallback solutions in safety-critical situations. The benefits of our verification technique are demonstrated in critical urban scenarios, which have been recorded in real traffic. The autonomous vehicle executed only safe trajectories, even when using an intended trajectory planner that was not aware of other traffic participants. Our results indicate that our online verification technique can drastically reduce the number of traffic accidents.

Original languageEnglish
Pages (from-to)518-528
JournalNature Machine Intelligence
Volume2
Issue number9
DOIs
Publication statusPublished - 2020
Externally publishedYes

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