Heterogeneous Sensor Webs for Automated Target Recognition and Tracking in Urban Terrain

Abstract

The HSN MURI program has been organized in the past six years to address several challenging fundamental issues in sensor fusion and integration, automatic target recognition and tracking, and 3-D reconstruction of urban models based on heterogeneous sensor networks. We are pleased to report that the team has had great success in our research endeavors, as evidenced numerically by the number of peer reviewed papers as well as a significant number of honors and best paper awards received by our team members. In this final scientific report, we summarize the key contributions in this program.

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Document Details

Document Type
Technical Report
Publication Date
Apr 09, 2012
Accession Number
ADA571211

Entities

People

  • S. Shankar Sastry

Organizations

  • University of California, Berkeley

Tags

Communities of Interest

  • Biomedical
  • Energy and Power Technologies
  • Materials and Manufacturing Processes
  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Automated Target Recognition
  • Compressed Sensing
  • Computational Science
  • Computer Vision
  • Detectors
  • Dimensionality Reduction
  • Electrical Engineering
  • Information Processing
  • Information Systems
  • Information Theory
  • Machine Learning
  • Mobile Phones
  • Sensor Networks
  • Signal Processing
  • Target Recognition
  • Wireless Communications
  • Wireless Sensor Networks

Readers

  • Distributed Systems and Data Platform Development
  • Sensor Fusion and Tracking Systems.
  • Systems Analysis and Design