Decision and feature fusion over the fractal inference network using camera and range sensors


Erkmen I. , Erkmen A. , Ucar E.

Conference on Sensor Fusion amd Decentralized Control in Robotic Systems, Massachusetts, United States Of America, 2 - 03 November 1998, vol.3523, pp.112-123 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Volume: 3523
  • Doi Number: 10.1117/12.326992
  • City: Massachusetts
  • Country: United States Of America
  • Page Numbers: pp.112-123

Abstract

The objective of the ongoing work is to fuse information from uncertain environmental data taken by cameras, short range sensors including infrared and ultrasound sensors for strategic target recognition and task specific action in Mobile Robot applications. Our present goal in this paper is to demonstrate target recognition for service robot in a simple office environment. It is proposed to fuse all sensory signals obtained from multiple sensors over a fully layer-connected sensor network system that provides an equal opportunity competitive environment for sensory data where those bearing less uncertainty, less complexity and less inconsistencies with the overall goal survive, while others fade out.