Model-Free Automated Reversing of Articulated Heavy Goods Vehicles

Shammi Rahman, Timothy Gordon, Leon Henderson, Yangyan Gao, Sonya Coleman, Dermot Kerr

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

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Abstract

This paper presents a technique for automated reversing control of articulated vehicles. Reversing articulated Heavy Goods Vehicles (HGVs) can be a challenging and time consuming task for a human driver, sometimes requiring multiple forward and backward motions to reduce errors. Here, the aim is to automate the task to provide high levels of precision using Artificial Flow Guidance (AFG). AFG uses simple geometry to define a spatially distributed motion reference, requiring only short-range error corrections and possessing global convergence properties. AFG has previously been applied to rigid and articulated vehicles in forward motion, with demonstrable benefits in terms of tracking precision and robustness. Here results focus on the tractor-semitrailer, but the AFG approach is equally applicable to the reversing of longer combination vehicles.
Original languageEnglish
Title of host publication16th International Symposium on Advanced Vehicle Control (AVEC 2024)
EditorsGiampiero Mastinu, Francesco Braghin, Federico Cheli, Matteo Corno, Sergio M. Savaresi
PublisherSpringer Cham
Pages116-122
Number of pages6
ISBN (Electronic)978-3-031-70392-8
ISBN (Print)978-3-031-70391-1
DOIs
Publication statusPublished (in print/issue) - 2024

Publication series

NameLecture Notes in Mechanical Engineering
ISSN (Print)2195-4356
ISSN (Electronic)2195-4364

Bibliographical note

Publisher Copyright:
© The Author(s) 2024.

Keywords

  • Artificial Flow Guidance
  • Automated reversing

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