Jaekon Shin

Papers

Total Citations

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About

Jaekon Shin is a researcher specializing in active safety evaluation for advanced driver-assistance systems (ADAS) and autonomous vehicle technologies. His work centers on developing innovative testing methodologies and target robots that enable rigorous, real-world validation of ADAS functionalities. Shin’s most cited paper, "Target robot for active safety evaluation of ADAS vehicles" (2019), has garnered 13 citations, reflecting its foundational role in creating standardized, repeatable testing environments for collision avoidance and emergency braking systems. This contribution addresses a critical gap in automotive safety: the need for realistic, controllable test scenarios that accurately assess vehicle responses without endangering human subjects. By designing robotic targets that mimic pedestrians, cyclists, or other vehicles, Shin’s research helps manufacturers and regulators evaluate system reliability under diverse conditions. His work is particularly notable for bridging simulation and physical testing, ensuring that ADAS technologies perform safely before deployment. For students and researchers in automotive engineering, robotics, and traffic safety, Shin’s contributions offer a practical framework for advancing vehicle automation while prioritizing human safety.