Locating Intersections for Autonomous Vehicles: A Bayesian Network Approach

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. the causal relationship between events happening at intersections. Second, we construct a BN based on the analyzed causal relationship to successfully combine feature evidence extracted from a video sequence and evidence from a database to locate intersections robustly.