Keith Cunningham
University of Alaska Fairbanks
12 Papers
77 Citations
Keith Cunningham is an academic researcher from University of Alaska Fairbanks. The author has contributed to research in topics: Slope stability & Rockfall. The author has an hindex of 5, co-authored 12 publications.
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Papers
Unmanned aerial vehicle inspection of the Placer River Trail Bridge through image-based 3D modelling
TL;DR: In this article, an integrated combination of a UAV and computer vision can decrease costs, expedite inspections, and increase the efficiency of bridge inspections. But, the UAVs are not suitable for high-altitude bridge inspection.
203
To Fill or Not to Fill: Sensitivity Analysis of the Influence of Resolution and Hole Filling on Point Cloud Surface Modeling and Individual Rockfall Event Detection
Michael J. Olsen,Joseph Wartman,Martha McAlister,Hamid Mahmoudabadi,Matthew S. O’Banion,Lisa Dunham,Keith Cunningham +6 more
TL;DR: Improved processing of TLS data to model complex topography and fill holes and an advance in the automated interpretation of the surface model in such a way that a magnitude and frequency relationship of rockfall events can be quantified can be used to assess maintenance strategies and forecast costs.
Rockfall Activity Index (RAI): A lidar-derived, morphology-based method for hazard assessment
TL;DR: In this article, the authors introduce the Rockfall Activity Index (RAI), a point cloud-derived, high-resolution, morphology-based approach for assessing rockfall hazards, quantifying the estimated annual kinetic energy produced by rockfall along 1-m length segments of a slope face.
35
Patent
Validating and calibrating a forecast model
Keith Cunningham,Peter Webley +1 more
- 10 Feb 2014
TL;DR: In this article, the authors present methods and systems of rapidly validating accuracy in particle cloud forecast transport and dispersion models, including accessing a forecast model of a volcanic ash cloud and refining the forecast model based on the determined accuracy.
23
Suitability of structure from motion for rock‐slope assessment
TL;DR: In this article, the authors evaluated the suitability of Structure from Motion (SfM) and multi-view stereo (MVS) photogrammetric techniques for unstable rock-slopes.
21