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A Nodal Uncertainty Method to Detect Localized Events From Measured Terrain Surfaces

[+] Author Affiliations
Christopher M. Deasy, John B. Ferris

Virginia Tech, Blacksburg, VA

Tana Tjhung

Chrysler Group, Auburn Hills, MI

Emily Horn

Deere and Company, Moline, IL

Paper No. DSCC2014-6242, pp. V002T26A004; 7 pages
doi:10.1115/DSCC2014-6242
From:
  • ASME 2014 Dynamic Systems and Control Conference
  • Volume 2: Dynamic Modeling and Diagnostics in Biomedical Systems; Dynamics and Control of Wind Energy Systems; Vehicle Energy Management Optimization; Energy Storage, Optimization; Transportation and Grid Applications; Estimation and Identification Methods, Tracking, Detection, Alternative Propulsion Systems; Ground and Space Vehicle Dynamics; Intelligent Transportation Systems and Control; Energy Harvesting; Modeling and Control for Thermo-Fluid Applications, IC Engines, Manufacturing
  • San Antonio, Texas, USA, October 22–24, 2014
  • Conference Sponsors: Dynamic Systems and Control Division
  • ISBN: 978-0-7918-4619-3
  • Copyright © 2014 by ASME and Chrysler Group LLC

abstract

With the advent of terrain surface mapping capabilities comes the necessity to extract useful information from the copious data, particularly localized events. Digital image processing methods for edge detection are applied to road surfaces to locate localized road events. A novel method of edge detection is developed based on the Nodal Uncertainty in which the probability distribution of the nodal heights determines the edges of an event. An example demonstrates that the new method performs at least as well as the best digital image processing methods available. Future development of this work is planned for integration with event characterization and identification methods.

Copyright © 2014 by ASME and Chrysler Group LLC
Topics: Uncertainty

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