Dynamic Vision for Control

Abstract

The on-going goal of this project is to develop analytical tools and computational models for vision to be used as a sensor for the purpose of control. Vision, as in remote passive distributed sensing, whether in the visible or other spectra, is a flexible, powerful and cheap sensory modality for unmanned vehicles to interact with complex, unknown, uncertain and dynamic environments. To that end, algorithms and models must be developed to causally infer geometric (shape), photometric (reflectance) and dynamic (motion) properties of objects and scenes.

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Document Details

Document Type
Technical Report
Publication Date
Feb 05, 2009
Accession Number
ADA495410

Entities

People

  • Stefano Soatto

Organizations

  • University of California, Los Angeles

Tags

Communities of Interest

  • Autonomy
  • C4I
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Algorithms
  • Computer Science
  • Computer Vision
  • Contrast
  • Department Of Defense
  • Gaussian Processes
  • Guidance
  • Identification
  • Image Processing
  • Inertial Navigation
  • Information Science
  • Measurement
  • Navigation
  • Recognition
  • Reflectance
  • Statistics
  • Unmanned Vehicles

Readers

  • Computer Vision.
  • Robotics and Automation.
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • Autonomy
  • Autonomy - Autonomous System Control