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About

Young-Woo Seo is a leading researcher in autonomous vehicle navigation, specializing in perception systems, mapping, and self-supervised learning for urban and unstructured environments. His work addresses critical challenges in enabling robotic vehicles to safely traverse complex settings, such as intersections and parking lots, where traditional sensor coverage is limited. Seo’s major contributions include developing a perception mechanism for autonomous intersection handling, which equips vehicles with the environmental knowledge needed to comply with traffic rules—a foundational study with 20 citations. He also pioneered self-supervised aerial image analysis to extract parking lot structure, reducing reliance on manually annotated road networks, and introduced lane-graph construction for autonomous parking, creating structured maps from unmarked lots. His research on augmenting cartographic resources and assessing roadway state further advances vehicle navigation by integrating dynamic environmental cues. With a cumulative citation impact exceeding 44 across his most-cited works, Seo’s innovations have significantly influenced the design of robust, map-guided autonomous systems, making him a notable figure in the field of intelligent transportation and robotics.