A Driving Assist System for Path Tracking via Active Rear-wheel Steering

Yufeng Hong, Junqiu Li*, Weichen Wang, Jianwen Chen, Ruichuan Wei

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In this paper, we propose a framework for shared control to assist driving by using an active rear-wheel steering system. In this framework, the active rear-wheel steering is used to correct improper operation and improve driving performance on path tracking for the driver. An adaptive model-predictive control (AMPC) method is adopted to balance the tracking performance and the influence of unnecessary intervention from the controller. We describe the solution of the rear wheel angle as an optimization problem in a moving horizon, which enables the rear-wheel system to provide timely help without excessive intervention.

Original languageEnglish
Title of host publicationProceedings of the 33rd Chinese Control and Decision Conference, CCDC 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1104-1109
Number of pages6
ISBN (Electronic)9781665440899
DOIs
Publication statusPublished - 2021
Event33rd Chinese Control and Decision Conference, CCDC 2021 - Kunming, China
Duration: 22 May 202124 May 2021

Publication series

NameProceedings of the 33rd Chinese Control and Decision Conference, CCDC 2021

Conference

Conference33rd Chinese Control and Decision Conference, CCDC 2021
Country/TerritoryChina
CityKunming
Period22/05/2124/05/21

Keywords

  • Active rear-wheel steering
  • Model-predictive control
  • Path tracking
  • Shared control

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