Accession Number:

ADA282506

Title:

Outdoor Landmark Recognition Using Hybrid Fractal Vision System and Neural Networks

Descriptive Note:

Corporate Author:

NORTH CAROLINA STATE UNIV AT RALEIGH

Personal Author(s):

Report Date:

1994-07-01

Pagination or Media Count:

5.0

Abstract:

Landmarks are useful cues for autonomous mobile robot navigation. Due to the changing imaging conditions, the appearance of the landmarks is varying in outdoor environments. We will develop a novel system to detect and recognize the landmarks. The developed system will be able to overcome changes in scale, lighting, etc. The proposed approach is based on a two-step method, using both fractal based object classifier and neural network based object identifier. Since fractals are inherently scale invariant over a finite range of scales, they make good models for outdoor scene objects. Since neural networks have fast recognition capabilities, they are a good choice in real time mobile robot applications.

Subject Categories:

  • Cybernetics
  • Land and Riverine Navigation and Guidance

Distribution Statement:

APPROVED FOR PUBLIC RELEASE