Provably-Safe Cooperative Driving via Invariably Safe Sets

Edmond Irani Liu, Christian Pek, Matthias Althoff

Research output: Contribution to conferencePaperpeer-review

4 Scopus citations

Abstract

We address the problem of provably-safe cooperative driving for a group of vehicles that operate in mixed traffic scenarios, where both autonomous and human-driven vehicles are present. Our method is based on Invariably Safe Sets (ISSs), which are sets of states that let each of the cooperative vehicles remain safe for an infinite time horizon. The potential conflicts between the ISSs of a group of cooperative vehicles are resolved by examining and negotiating their Safe Maneuver Corridors. As a result, each vehicle obtains its negotiated ISS, which is used as target sets for motion planning. We demonstrate the applicability and benefits of our method on various traffic scenarios from the CommonRoad benchmark suite.

Original languageEnglish
Pages516-523
Number of pages8
DOIs
StatePublished - 2020
Event31st IEEE Intelligent Vehicles Symposium, IV 2020 - Virtual, Las Vegas, United States
Duration: 19 Oct 202013 Nov 2020

Conference

Conference31st IEEE Intelligent Vehicles Symposium, IV 2020
Country/TerritoryUnited States
CityVirtual, Las Vegas
Period19/10/2013/11/20

Fingerprint

Dive into the research topics of 'Provably-Safe Cooperative Driving via Invariably Safe Sets'. Together they form a unique fingerprint.

Cite this