Image Segmentation Improvement with a 3-D Microwave Radar

  • A. Siebert
  • J. Ostertag
  • B. Radig
  • M. Rožmann
  • J. Detlefsen
  • J. Bernasch
Part of the Research Reports ESPRIT book series (ESPRIT, volume 1)

Abstract

Segmentation of intensity images is well known to be a complex problem. A single intensity image rarely provides all the information necessary for a correct segmentation. In this paper we describe how to improve segmentation results by fusing the intensity data with range data sensed by a microwave radar. The radar either gives a clue of where to partially repeat the segmentation process with different parameters or where to replace the intensity image segmentation data with the radar segmentation data. Practical results are obtained by applying the work to the vision system of an autonomous mobile robot where the goal is to identify and localize unknown objects.

Keywords

Microwave Radar Azimuth Sonar ECSC 

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Copyright information

© ECSC-EEC-EAEC, Brussels-Luxembourg 1993

Authors and Affiliations

  • A. Siebert
    • 1
  • J. Ostertag
    • 1
  • B. Radig
    • 1
  • M. Rožmann
    • 2
  • J. Detlefsen
    • 2
  • J. Bernasch
    • 3
  1. 1.Institut für InformatikTU MünchenGermany
  2. 2.Lehrstuhl für Hochfrequenztechnik (HFS)TU MünchenGermany
  3. 3.BMW AGMünchenGermany

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