Object Recognition Using 2D Sensors and Autonomous Vehicle Navigation Issues

Abstract

This research deals with the problem of extracting features from an image using wavelets and then using these features to recognize objects present in the image. This technique is applied to recognition of Unexploded Ordnance (UXO) objects. However, the concepts described here can be extended to recognition of other objects such as ships, missiles and aircraft. This work is performed as part of an ongoing effort to develop an autonomous vehicle capable of detecting UXOs.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1997
Accession Number
ADA341146

Entities

People

  • Jader Gomes
  • Silva Filbo

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • C4I

DTIC Thesaurus Topics

  • Aircrafts
  • Artificial Intelligence
  • Autonomous Vehicles
  • Cameras
  • Collision Avoidance
  • Computational Science
  • Computer Science
  • Computer Vision
  • Data Processing
  • Feature Extraction
  • Identification
  • Image Recognition
  • Lisp Programming Language
  • Neural Networks
  • Pattern Recognition
  • Recognition
  • Unexploded Ammunition

Fields of Study

  • Computer science

Readers

  • Image Processing and Computer Vision.
  • Military/Explosive Ordnance Disposal (EOD) Technology
  • Sensor Fusion and Tracking Systems.

Technology Areas

  • Autonomy