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Active lane change for safety enhanced autonomous driving

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conference contribution
posted on 2023-07-06, 10:49 authored by Chengyuan LiuChengyuan Liu, Yang Wang, Fan Mo, Xuefang Li, Jingjing JiangJingjing Jiang

This paper proposed an active lane change algorithm for autonomous vehicles using safety-critical model predictive control method. By incorporating safety-critical constraints into the algorithm, the safety hazard caused by surrounding vehicles are addressed. The proposed algorithm can actively react to mandatory lane change requirement. This has been evaluated in random generated driving scenarios. A safety hazard caused by merging surrounding vehicle is highlighted to demonstrate the effectiveness of the control algorithm.

History

School

  • Aeronautical, Automotive, Chemical and Materials Engineering

Department

  • Aeronautical and Automotive Engineering

Published in

2023 7th International Conference on Automation, Control and Robots (ICACR)

Pages

180 - 184

Source

7th International Conference on Automation, Control and Robots (ICACR 2023)

Publisher

IEEE

Version

  • AM (Accepted Manuscript)

Rights holder

© IEEE

Publisher statement

© 2023 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Acceptance date

2023-06-20

Publication date

2023-11-15

Copyright date

2023

ISBN

9798350302882; 9798350302875; 9798350302899

Language

  • en

Location

Kuala Lumpur, Malaysia

Event dates

4th August 2023 - 6th August 2023

Depositor

Dr Chengyuan Liu. Deposit date: 4 July 2023

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