Locating intersections for autonomous vehicles: A Bayesian network approach

Kyoung Ho Choi, Sung-Kwan Joo, Seong Ik Cho, Jong Hyun Park

Research output: Contribution to journalArticle

7 Citations (Scopus)

Abstract

A novel idea is presented to locate intersections in a video sequence captured from a moving vehicle. More specifically, we propose a Bayesian network approach to combine evidence extracted from a video sequence and evidence from a database, maximizing evidence from various sensors in a systematic manner and locating intersections robustly.

Original languageEnglish
Pages (from-to)249-251
Number of pages3
JournalETRI Journal
Volume29
Issue number2
Publication statusPublished - 2007 Apr 1

Keywords

  • Bayesian network
  • ITS
  • Navigation
  • Telematics

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Computer Networks and Communications

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  • Cite this

    Choi, K. H., Joo, S-K., Cho, S. I., & Park, J. H. (2007). Locating intersections for autonomous vehicles: A Bayesian network approach. ETRI Journal, 29(2), 249-251.