Real time rut profile measurement in varying terrain types using digital image correlation

dc.contributor.authorBotha, Theunis R.
dc.contributor.authorJohnson, Devin K.
dc.contributor.authorEls, Pieter Schalk
dc.contributor.authorShoop, Sally
dc.date.accessioned2019-01-21T11:07:07Z
dc.date.issued2019-04
dc.description.abstractAn important parameter in terramechanics is the rut depth produced when a vehicle traverses deformable soil. The rut depth provides a measure of vehicle tractability as well as the impact on the environment. Rut depth is not uniform on natural terrain and typically only a few manual points are measured. Synchronizing rut depth with other measurements is also problematic. This paper investigates the feasibility of using cameras to measure 3D terrain profiles from which a single rut depth measurement is obtained. Tests were performed on different vehicles, for various dynamic vehicle manoeuvres, over varying terrains including sand, mud, grassland, snow and ice. Results were validated using the traditional stick ruler method. Measurement frequencies of 58 Hz were obtained using affordable commercially off the shelf computational hardware and dedicated software. Determining whether a vehicle can traverse a terrain can significantly improve the vehicle mobility. Therefore, real time measurements of rut depth can be used to determine the mobility of vehicles in off-road conditions that can change rapidly due to environmental conditions e.g. rain or snow. The techniques described can assist in gathering terrain and vehicle mobility data that can be used directly to assist the driver in making safety related decisions.en_ZA
dc.description.departmentMechanical and Aeronautical Engineeringen_ZA
dc.description.embargo2020-04-01
dc.description.librarianhj2019en_ZA
dc.description.librarianmi2025en
dc.description.sdgSDG-09: Industry, innovation and infrastructureen
dc.description.sdgSDG-11: Sustainable cities and communitiesen
dc.description.sdgSDG-13: Climate actionen
dc.description.sdgSDG-15: Life on landen
dc.description.urihttp://www.elsevier.com/locate/jterraen_ZA
dc.identifier.citationBotha, T., Johnson, D., Els, S. et al. 2019, 'Real time rut profile measurement in varying terrain types using digital image correlation', Journal of Terramechanics, vol. 82, pp. 53-61.en_ZA
dc.identifier.issn0022-4898 (print)
dc.identifier.issn1879-1204 (online)
dc.identifier.other10.1016/j.jterra.2018.12.003
dc.identifier.urihttp://hdl.handle.net/2263/68192
dc.language.isoenen_ZA
dc.publisherElsevieren_ZA
dc.rights© 2018 ISTVS. Published by Elsevier Ltd. All rights reserved. Notice : this is the author’s version of a work that was accepted for publication in Journal of Terramechanics. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. A definitive version was subsequently published in Journal of Terramechanics, vol. 82, pp. 53-61, 2019. doi : 10.1016/j.jterra.2018.12.003.en_ZA
dc.subjectReal timeen_ZA
dc.subjectRut depthen_ZA
dc.subjectStereoen_ZA
dc.subjectTerrain measurementen_ZA
dc.subjectLandformsen_ZA
dc.subjectSnowen_ZA
dc.subjectDigital image correlationsen_ZA
dc.subjectEnvironmental conditionsen_ZA
dc.subjectImpact on the environmenten_ZA
dc.subjectMeasurement frequenceen_ZA
dc.subjectOff road vehiclesen_ZA
dc.subject.otherEngineering, built environment and information technology articles SDG-09
dc.subject.otherSDG-09: Industry, innovation and infrastructure
dc.subject.otherEngineering, built environment and information technology articles SDG-11
dc.subject.otherSDG-11: Sustainable cities and communities
dc.subject.otherEngineering, built environment and information technology articles SDG-13
dc.subject.otherSDG-13: Climate action
dc.subject.otherEngineering, built environment and information technology articles SDG-15
dc.subject.otherSDG-15: Life on land
dc.titleReal time rut profile measurement in varying terrain types using digital image correlationen_ZA
dc.typePostprint Articleen_ZA

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