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Geospatial Virtual Reality for Cyberlearning in the Field of Topographic Surveying

Moving Towards a Cost-Effective Mobile Solution

Bibliographic Data

ID22033253
AuthorsEugene Levin (0000-0002-8127-3208, Michigan Technological University, corresponding author), Roman Shults (0000-0003-2581-517X, Kyiv National University of Construction and Architecture), Reza Habibi (0000-0001-8268-0326, Michigan Technological University), Zhongming An (0000-0001-9918-1734, Michigan Technological University), William Roland (Michigan Technological University)
Year2020
Volume9
Issue7
Pages433
Publication date2020-07-10
Open AccessYes
TypeARTICLE
VenueISPRS International Journal of Geo-Information (JOURNAL)
Journal identifiersISSN: 2220-9964 • E-ISSN: 2220-9964
PublisherMDPI AG (PUBLISHER • IT)
DOI10.3390/ijgi9070433
OpenAlexW3041676962
LanguageEN
Citations received3
References cited11

In spite of the tremendous success in artificial intelligence technology and a high level of automation in geospatial data obtaining processes, there is still a need for topographical field data collection by professional surveyors. Understanding terrain topology and topography is a cognitive skill set that has to be demonstrated by geospatial Subject Matter Experts (SME) for the productive work in the topographic surveying field. For training of the mentioned above skillset, one has to be exposed to the theory and must also practice with surveying instruments in field conditions. The challenge of any surveying/geospatial engineering workforce training is to expose students to field conditions which might be limited due to equipment expenses and meteorological conditions that prevent good data collection. To meet this challenge, the Integrated Geospatial Technology research group is working on a geospatial virtual reality (VR) project which encompasses the following components: (a) immersive visualization of terrain; (b) virtual total station instrument; (c) virtual surveyor with reflector installed on the virtual rod. The application scenario of the technology we are working with has the following stages: (1) student is installing total station on the optimal location; (2) students move virtual surveyor on the sampling points they consider to be important (3) contours are generated and displayed in 3D being superimposed on 3D terrain; (4) accuracy of terrain modeling is observable and measurable by comparing the sampling model with initial one

Cartography · Data science · Geography · Geomatics · Geospatial analysis · Human–computer interaction · Remote sensing · Surveyor · Terrain · Total station · Virtual reality · Augmented Reality Applications · Computer Science · Educational Games and Gamification · Robotics and Sensor-Based Localization

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Citations per year0.5
Citation span2020 - 2021 (2)
Highly citedNo

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Open DOIOpen Access
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