SPATIOTEMPORAL SEGMENTATION OF RANGE IMAGE SEQUENCES INTO PLANAR SURFACES FOR COLLISION AVOIDANCE

This paper presents a spatiotemporal segmentation algorithm for range image sequences of traffic scenes. The technique uses an optical range camera that leads to segmenting the range image sequences into planar surfaces. Vehicle and road recognition can be performed by applying perceptual grouping strategies to merge the detected planar surfaces into objects. Results of the algorithm are shown for two types of range data.

• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/oclc/37652064
• Supplemental Notes:
  • Publication Date: 1997 Published By: Automotive Automation, Ltd., Croydon, England
• Corporate Authors:

  Universitat Bern

  ,    

  Universite de Geneve

  ,    

  University of Iowa, Iowa City

  102 Church Street
  Iowa City, IA  United States  52242

  Vrije Universiteit

  Faculteit der Economische
  Amsterdam,   Netherlands 

  Universita di Parma

  ,    
• Authors:
  • Sobottka, K
  • Jiang, X-Y
  • Bunke, H
• Conference:
  • International Symposium on Automotive Technology and Automation (30th : 1997 : Florence, Italy). Proceedings for the dedicated conference on robotics, motion and machine vision in the automotive industries
• Publication Date: 1997

Language

• English

Media Info

• Pagination: p. 69-76

Subject/Index Terms

• TRT Terms: Computer algorithms; Crash avoidance systems; Image processing; Rangefinders

Filing Info

• Accession Number: 00777095
• Record Type: Publication
• Source Agency: UC Berkeley Transportation Library
• Files: PATH
• Created Date: Nov 17 1999 12:00AM