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About

Yan-Jiun Chen is a leading researcher in automotive radar systems and intelligent transportation technologies, with a particular focus on surround-view radar architectures for autonomous and connected vehicles. His seminal work, "Toward Automotive Surround-View Radars" (2019), which has garnered 34 citations, provides a foundational framework for integrating radar sensors into a 360-degree perception system, enabling vehicles to detect obstacles, pedestrians, and other road users in complex environments. This contribution is critical to advancing the safety and reliability of self-driving cars, especially in scenarios where cameras and LiDAR may be limited by weather or lighting conditions. Chen’s research addresses the convergence of wireless connectivity, clean energy, and secure transactions in future mobility, exploring how ownership models—whether human-driven or fully autonomous—will evolve with these technologies. His work is highly regarded for bridging practical engineering challenges with visionary concepts of service-based transportation. For students and researchers in autonomous systems, Chen’s publications offer essential insights into the next generation of vehicular perception and the infrastructure needed to support it.