Estimation of trailer off-tracking using visual odometry
View / Open Files
Authors
de Saxe, Christopher Charles
Cebon, D
Publication Date
2019Journal Title
Vehicle System Dynamics
ISSN
1744-5159
Publisher
Taylor & Francis
Type
Article
This Version
VoR
Metadata
Show full item recordCitation
de Saxe, C. C., & Cebon, D. (2019). Estimation of trailer off-tracking using visual odometry. Vehicle System Dynamics https://doi.org/10.1080/00423114.2018.1484498
Abstract
High Capacity Vehicles (HCVs) have been shown to be highly effective in reducing emissions associated with road freight transport. However, the reduced manoeuvrability of long vehicles often necessitates the use of active trailer steering. Path-following trailer steering systems are very effective in this regard, but are currently limited to on-highway applications due to the manner in which trailer off-tracking is estimated. In this work, a novel trailer off- tracking measurement concept is introduced which is independent of wheel slip and ground surface conditions, and requires no additional sensor measurements or parameter data from the tractor. The concept utilises a stereo camera pair affixed to the trailer and a visual odometry-based algorithm to calculate off-tracking. The concept was evaluated in detailed simulation and full-scale vehicle tests, demonstrating its feasibility and highlighting some important characteristics. RMS measurement errors of 0.11-0.12 m (3.3-3.6%) were obtained in a challenging visual environment.
Keywords
Off-tracking; Trailer steering; Visual odometry; Stereo vision; Articulated vehicles
Relationships
Is supplemented by: https://doi.org/10.17863/CAM.24098
Sponsorship
CSIR, South Africa;
Cambridge Commonwealth, European and International Trust, UK;
Cambridge Vehicle Dynamics Consortium.
Funder references
Engineering and Physical Sciences Research Council (EP/D004152/1)
Engineering and Physical Sciences Research Council (EP/K00915X/1)
Engineering and Physical Sciences Research Council (EP/R035199/1)
Identifiers
External DOI: https://doi.org/10.1080/00423114.2018.1484498
This record's URL: https://www.repository.cam.ac.uk/handle/1810/277247
Statistics
Total file downloads (since January 2020). For more information on metrics see the
IRUS guide.
Recommended or similar items
The current recommendation prototype on the Apollo Repository will be turned off on 03 February 2023. Although the pilot has been fruitful for both parties, the service provider IKVA is focusing on horizon scanning products and so the recommender service can no longer be supported. We recognise the importance of recommender services in supporting research discovery and are evaluating offerings from other service providers. If you would like to offer feedback on this decision please contact us on: support@repository.cam.ac.uk
The following licence files are associated with this item: