S
Steven Scheding
Researcher at University of Sydney
Publications - 47
Citations - 636
Steven Scheding is an academic researcher from University of Sydney. The author has contributed to research in topics: Navigation system & Sensor fusion. The author has an hindex of 12, co-authored 47 publications receiving 542 citations.
Papers
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Proceedings ArticleDOI
Towards reliable perception for Unmanned Ground Vehicles in challenging conditions
TL;DR: In this paper, a comprehensive UGV system, comprising many different exteroceptive and proprioceptive sensors has been built to promote reliability and integrity in autonomous perceptual systems, with a focus on outdoor UGV autonomy.
Journal IssueDOI
Error modeling and calibration of exteroceptive sensors for accurate mapping applications
TL;DR: The mathematical derivations at the core of this model are not particularly novel or complicated, but the rigorous analysis and application to field robotics seems to be largely absent from the literature to date.
Journal Article
Towards reliable perception for unmanned ground vehicles in challenging conditions
TL;DR: A large, accurately calibrated and synchronised, multi-modal data-set, gathered in controlled environmental conditions, including the presence of dust, smoke and rain, is used to analyse the effects of such challenging conditions on perception and to identify common perceptual failures.
Journal ArticleDOI
Automated coal seam detection using a modulated specific energy measure in a monitor-while-drilling context
Raymond Leung,Steven Scheding +1 more
TL;DR: In this article, a measure called Modulated Specific Energy (SEM) was developed for the purpose of characterizing drilled material in open-pit coal mining, which utilizes a hypothesized link between a derived drill performance indicator (the rotation-to-thrust power ratio) and geomechanical properties of sedimentary rock strata (shear and compressive strengths) to increase the coal discriminative power of SEM relative to Teale's specific energy measure.
Journal ArticleDOI
Drill monitoring results reveal geological conditions in blasthole drilling
TL;DR: In this paper, monitor-while-drilling and geophysical logging data have been acquired for blast holes in an open cut coal mine and comparison of results show that MWD results respond to the variations in geology revealed by the geophysical logs.