Dynamic Vision for Control

Abstract

The goal of this project was to develop analytical and computational tools to make vision a viable sensor for the purpose of control. In order for unmanned vehicles to interact with a complex, unknown, uncertain and dynamic environment, they must be able to sense its shape (geometry), its reflectance properties (photometry) and its motion relative to the platform, along with the motion of independently moving objects and targets within (dynamics).

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Document Details

Document Type
Technical Report
Publication Date
Jul 27, 2006
Accession Number
ADA452025

Entities

People

  • Stefano Soatto

Organizations

  • University of California, Los Angeles

Tags

Communities of Interest

  • Autonomy
  • Human Systems

DTIC Thesaurus Topics

  • Algorithms
  • Autonomous Navigation
  • Computer Vision
  • Differential Equations
  • Dynamics
  • Equations
  • Geometry
  • Identification
  • Information Processing
  • Optical Properties
  • Partial Differential Equations
  • Photometry
  • Recognition
  • Reflectance
  • Statistics
  • Unmanned Vehicles
  • Vehicles

Fields of Study

  • Physics

Readers

  • Control Systems Engineering.
  • Distributed Systems and Data Platform Development
  • Spectroscopy.

Technology Areas

  • Autonomy
  • Autonomy - Autonomous System Control