Distributed Systems for Problems in Robust Control and Visual Tracking

Abstract

The objectives of this research grant have been development of new theory and algorithms for the analysis and synthesis of robust controllers for nonlinear and possibly distributed feedback systems. A key application is in controlled active vision, including visual tracking, the control of autonomous vehicles, motion planning, and the utilization of visual information in guidance and control. The PI has been employing methods from differential geometry, geometry-driven flows, computational algebraic geometry, as well as interpolation theory and functional analysis. For tracking, the PI has been using a new model of deformable contours based on geodesics and minimal surfaces. He has been combining this local information with more global statistical information (employing Bayesian models) for more powerful region/boundary based models capable of detecting and tracking motion much better. Work was also done for object recognition using differential invariants.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2000
Accession Number
ADA391299

Entities

People

  • Allen R. Tannenbaum

Organizations

  • Georgia Tech

Tags

Communities of Interest

  • Biomedical
  • Weapons Technologies

DTIC Thesaurus Topics

  • Algebraic Geometry
  • Algorithms
  • Artificial Intelligence
  • Computational Science
  • Computer Graphics
  • Computer Vision
  • Differential Equations
  • Differential Geometry
  • Functional Analysis
  • Geometry
  • Image Processing
  • Information Science
  • Motion Planning
  • Object Recognition
  • Pattern Recognition
  • Recognition
  • Target Recognition

Readers

  • Computer Vision.
  • Robotics and Automation.

Technology Areas

  • AI & ML
  • AI & ML - Machine Learning Algorithms
  • Autonomy
  • Autonomy - Autonomous System Control