Young Ho Shin

Papers

Total Citations

H-Index

About

Young Ho Shin is a researcher specializing in autonomous systems, robotics, and intelligent vehicle navigation. His work centers on the development and refinement of unmanned ground vehicles, with a particular focus on integrating advanced software architectures and intelligence algorithms to enable reliable autonomous operation in competitive real-world environments. Shin's most notable contributions stem from his work on "Q," an autonomous ground vehicle developed by the Trinity College Robot Study Team for the Intelligent Ground Vehicle Competition (IGVC). His 2011 paper introduced a parallelized software architecture alongside an enhanced vision processing system and improved power management, representing a meaningful step forward in modular, scalable robot design. Building on this foundation, his 2012 work advanced Q's onboard intelligence algorithms, improving its capacity for autonomous navigation in dynamic and unpredictable settings. While Shin's citation counts remain modest — reflecting the specialized and emerging nature of competitive robotics research at the time — his contributions demonstrate a hands-on, iterative approach to autonomous systems engineering. His work offers valuable insights for students and researchers exploring the intersection of embedded systems, computer vision, and artificial intelligence in the context of real-world autonomous vehicle development.