Processor architecture for road extraction based on projective transformation

Sunggae Lee, Masanori Hariyama, Michitaka Kameyama

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)


This paper presents a processor architecture for a robust road-extraction algorithm using stereo images. The road-extraction method estimates a projective-transformation matrix H that represents the geometrical features of road regions. The road region can be robustly extracted using Sum of Absolute Differences (SAD) between one image and a transformed image of the other one. To accelerate the projective transformation, dedicated multipliers are employed. A dynamically reconfigurable architecture for robust estimation and SAD-based extraction is presented. For image size 720 × 480, the execution time on the proposed processor is 0.05 seconds whereas that on a microprocessor is 2.5 seconds.

Original languageEnglish
Title of host publication2006 SICE-ICASE International Joint Conference
Number of pages5
Publication statusPublished - 2006 Dec 1
Event2006 SICE-ICASE International Joint Conference - Busan, Korea, Republic of
Duration: 2006 Oct 182006 Oct 21

Publication series

Name2006 SICE-ICASE International Joint Conference


Other2006 SICE-ICASE International Joint Conference
Country/TerritoryKorea, Republic of


  • Dynamically reconfigurable processor
  • Homography
  • Projective transformation
  • SAD

ASJC Scopus subject areas

  • Computer Science Applications
  • Control and Systems Engineering
  • Electrical and Electronic Engineering


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