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

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Bayesian networks
Sensors

Keywords

  • Bayesian network
  • ITS
  • Navigation
  • Telematics

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Computer Networks and Communications

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.

Locating intersections for autonomous vehicles : A Bayesian network approach. / Choi, Kyoung Ho; Joo, Sung-Kwan; Cho, Seong Ik; Park, Jong Hyun.

In: ETRI Journal, Vol. 29, No. 2, 01.04.2007, p. 249-251.

Research output: Contribution to journalArticle

Choi, KH, Joo, S-K, Cho, SI & Park, JH 2007, 'Locating intersections for autonomous vehicles: A Bayesian network approach', ETRI Journal, vol. 29, no. 2, pp. 249-251.
Choi, Kyoung Ho ; Joo, Sung-Kwan ; Cho, Seong Ik ; Park, Jong Hyun. / Locating intersections for autonomous vehicles : A Bayesian network approach. In: ETRI Journal. 2007 ; Vol. 29, No. 2. pp. 249-251.
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