Open AccessLocating Intersections for Autonomous Vehicles: A Bayesian Network Approach
Author(s) -
Choi KyoungHo,
Joo Sungkwan,
Cho Seong Ik,
Park JongHyun
Publication year - 2007
Publication title -
etri journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.295
H-Index - 46
eISSN - 2233-7326
pISSN - 1225-6463
DOI - 10.4218/etrij.07.0206.0178
Subject(s) - sequence (biology) , computer science , bayesian network , bayesian probability , artificial intelligence , dynamic bayesian network , computer vision , data mining , genetics , biology
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.