Max Robotics — Global Service Robot Directory + US Certification

About

Chao-Ching Hung is a leading researcher in advanced automotive radar systems, with a particular focus on surround-view radar technologies for next-generation vehicles. His most-cited work, "Toward Automotive Surround-View Radars" (2019), has garnered 34 citations and addresses a critical challenge in autonomous driving: creating comprehensive, real-time environmental sensing without relying solely on expensive LiDAR or camera systems. Hung’s contributions center on developing radar architectures that can provide 360-degree situational awareness, enabling safer navigation for both human-driven and autonomous vehicles. His research bridges the gap between current automotive radar limitations and the robust sensing requirements for Level 4 and Level 5 autonomy. By exploring how radar can be integrated with wireless connectivity and other sensor modalities, Hung is helping to shape a future where vehicles are not only mobile but also intelligent, connected, and secure. His work is particularly relevant as the automotive industry transitions toward service-based ownership models and robodriving, making his contributions foundational to the next generation of transportation technology.