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About

Weishow Hsu is a leading researcher in automotive radar systems, with a particular focus on surround-view radar technology for advanced driver-assistance systems (ADAS) and autonomous driving. His most-cited work, "Toward Automotive Surround-View Radars" (2019, 34 citations), addresses the critical challenge of achieving 360-degree environmental perception using radar—a key sensor for all-weather, long-range detection in self-driving vehicles. Hsu’s contributions lie in conceptualizing and advancing radar architectures that enable seamless, high-resolution imaging around the vehicle, moving beyond traditional forward-facing systems. His research explores how radar can complement cameras and LiDAR, especially in adverse weather conditions, and integrates with emerging trends like wireless connectivity, electrification, and secure vehicle-to-everything (V2X) communications. By tackling the practical hurdles of radar-based surround sensing—such as interference mitigation, data fusion, and cost-effective deployment—Hsu has helped pave the way for safer, more reliable autonomous mobility. His work is particularly notable for bridging the gap between current production vehicles and future fully autonomous fleets, whether human-driven or robotic.