ETRI Journal
- Volume 29 Issue 2
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- Pages.249-251
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- 2007
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- 1225-6463(pISSN)
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- 2233-7326(eISSN)
Locating Intersections for Autonomous Vehicles: A Bayesian Network Approach
- Choi, Kyoung-Ho (Department of Electronics Engineering, Mokpo National University) ;
-
Joo, Sung-Kwan
(School of Electrical Engineering, Korea University)
;
- Cho, Seong-Ik (Telematics & USN Research Division, ETRI) ;
- Park, Jong-Hyun (Telematics & USN Research Division, ETRI)
- Received : 2006.09.16
- Published : 2007.04.30
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.