Cited by 21Vehicle Dynamics and Control SystemsControl and Dynamics of Mobile RobotsDynamics and Control of Mechanical Systems

The DOI matches its Crossref record.

Constrained Backward Path Tracking Control using a Plug-in Jackknife Prevention System for Autonomous Tractor-Trailers

Hejase, Mohammad, Jing, Junbo, Maroli, John M., Bin Salamah, Yasser, Fiorentini, Lisa, Ozguner, Umit·2018·2018 21st International Conference on Intelligent Transportation Systems (ITSC)

Abstract

Jackknifing during tractor-trailer reverse driving presents a major challenge in control system design. In this paper, maneuverability conditions were explicitly derived for tractor-trailer systems that are hitched off-axle. A control safety governor was designed and constructed to guarantee that the system stays within the derived maneuverability conditions under steering rate constraints using any controller. The control safety governor is decoupled from the controller so that it can be used in a plug-in fashion with minimal interference. The performance of the designed system was tested for a neural network controller on an increasingly rigorous path with introduced discontinuities. Results show that the system was able to successfully track the path without jackknifing. The novelty of this work lies in providing a solution that is capable of guaranteeing jackknife prevention for any reverse path tracking controller for tractor-trailer systems.

Overview

Integrity signals

Registry

Crossref · 10.1109/itsc.2018.8569262

Cites

Statistics

Recomputing p-values needs the paper’s full text.

Verification

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Citations

Cites

No references could be resolved yet.

Research works printed but not linked: 18

  1. 10.1109/TIE.2013.2240631 · DOI
  2. 10.1109/WCICA.2010.5554359 · DOI
  3. 10.1016/j.compag.2011.12.009 · DOI
  4. 10.1109/WCICA.2012.6358234 · DOI
  5. bin yang, 2012, Look-ahead path information based receding horizon control for backing-up tractor-trailer systems, Proceedings of the 31st Chinese Control Conference CCC, 4201
  6. 10.1109/IJCNN.1992.227324 · DOI
  7. 10.1109/ICEC.1994.349969 · DOI
  8. 10.1109/IROS.2010.5650489 · DOI
  9. özgüner, 2011, Autonomous Ground Vehicles
  10. 10.1109/TRA.2003.820928 · DOI
  11. 10.1109/TMECH.2013.2261534 · DOI · Paper page
  12. nilsson, 0, Trailer Parking Assist
  13. 10.1177/0278364908097588 · DOI
  14. cheng, 2017, Backward path tracking control for mobile robot with three trailers, International Conference on Neural Information Processing, 32
  15. 10.1109/FSKD.2009.325 · DOI
  16. 10.1109/ICRA.2011.5979918 · DOI
  17. 10.1109/TIE.2015.2455016 · DOI
  18. 10.1007/978-3-540-75404-6_45 · DOI

Cited by

Sorted by citations

See all 21

Metadata

Authors
Hejase, M., Jing, J., Maroli, J. M., Bin Salamah, Y., Fiorentini, L., & Ozguner, U.
Affiliations
The Ohio State University (US)
Venue
2018 21st International Conference on Intelligent Transportation Systems (ITSC)
Publisher
IEEE
Published
2018-11
Pages
2012-2017
OpenAlex
W2904099029
Cited by
21
References
0
Citations by year
2026: 1 · 2025: 2 · 2024: 4 · 2023: 3 · 2022: 1 · 2021: 6 · 2020: 3 · 2019: 1
FWCI
2.56
Type
conference paper
Language
en
Open access
closed
Locations
IEEE International Conference on Intelligent Transportation Systems (ITSC) (publishedVersion)
Topics
  • Physical Sciences › Engineering › Automotive Engineering › Vehicle Dynamics and Control Systems
  • Physical Sciences › Engineering › Control and Systems Engineering › Control and Dynamics of Mobile Robots
  • Physical Sciences › Engineering › Control and Systems Engineering › Dynamics and Control of Mechanical Systems
Keywords
tractor-trailers, autonomous vehicles, neural network controller, trajectory tracking

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Constrained Backward Path Tracking Control using a Plug-in Jackknife Prevention System for Autonomous Tractor-Trailers. https://app.cochat.ai/papers/10.1109/itsc.2018.8569262
The paper
Hejase, M., Jing, J., Maroli, J. M., Bin Salamah, Y., Fiorentini, L., & Ozguner, U. (2018). Constrained Backward Path Tracking Control using a Plug-in Jackknife Prevention System for Autonomous Tractor-Trailers. 2018 21st International Conference on Intelligent Transportation Systems (ITSC). https://doi.org/10.1109/itsc.2018.8569262