Ground plane detection for autonomous vehicle in rainforest terrain

Chee Way Teoh, Ching Seong Tan, Yong Chai Tan

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

3 Citations (Scopus)

Abstract

This paper presents the determination of the ground plane method for navigation in rainforest terrain using stereo vision. Ground plane detection plays an important role for obstacle detection task as it act as the reference plane of the scene. V-disparity image is widely used to detect the ground plane for on-road and off-road navigation. However, it relies on distinct road features such as lines and edges which may not exist in rainforest terrain. In this work, we attempted to use colour clustering method to extract possible ground profile even without using distinct road features.

Original languageEnglish
Title of host publicationIEEE Conference on Sustainable Utilization and Development in Engineering and Technology 2010, STUDENT 2010 - Conference Booklet
Pages7-12
Number of pages6
DOIs
Publication statusPublished - 2010
Externally publishedYes
EventIEEE Conference on Sustainable Utilization and Development in Engineering and Technology 2010, STUDENT 2010 - Kuala Lumpur, Malaysia
Duration: 20 Nov 201021 Nov 2010

Publication series

NameIEEE Conference on Sustainable Utilization and Development in Engineering and Technology 2010, STUDENT 2010 - Conference Booklet

Conference

ConferenceIEEE Conference on Sustainable Utilization and Development in Engineering and Technology 2010, STUDENT 2010
Country/TerritoryMalaysia
CityKuala Lumpur
Period20/11/1021/11/10

Keywords

  • Ground plane
  • Rainforest terrain
  • V-disparity image

ASJC Scopus subject areas

  • Renewable Energy, Sustainability and the Environment

Fingerprint

Dive into the research topics of 'Ground plane detection for autonomous vehicle in rainforest terrain'. Together they form a unique fingerprint.

Cite this