Drivable Area Detection Method Capable of Distinguishing Vegetation Area on Country Road

Sangjae Lee, Byungin Moon

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations

Abstract

The v-disparity method is one of the most widely used algorithms for detecting the drivable area based on stereo vision. However, it mistakes vegetation of county roads as the drivable area. Thus, this paper proposes the drivable area detection method that addresses the problem of treating the roadside vegetation as the drivable area. The experimental results show that the proposed method is approximately 6.86% more accurate than the previous v-disparity method.

Original languageEnglish
Title of host publicationProceedings - International SoC Design Conference 2018, ISOCC 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages80-81
Number of pages2
ISBN (Electronic)9781538679609
DOIs
StatePublished - 2 Jul 2018
Event15th International SoC Design Conference, ISOCC 2018 - Daegu, Korea, Republic of
Duration: 12 Nov 201815 Nov 2018

Publication series

NameProceedings - International SoC Design Conference 2018, ISOCC 2018

Conference

Conference15th International SoC Design Conference, ISOCC 2018
Country/TerritoryKorea, Republic of
CityDaegu
Period12/11/1815/11/18

Keywords

  • Drivable area detection
  • Free space
  • V-disparity
  • Vegetation area

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