Hanning Mai

About

Hanning Mai is a leading innovator in advanced imaging and sensing technologies, with a primary focus on direct time-of-flight (ToF) image sensors and 3D flash LIDAR systems. His most-cited work, "A Direct Time-of-Flight Image Sensor With In-Pixel Surface Detection and Dynamic Vision" (2023, 35 citations), introduces a groundbreaking approach to compact, solid-state depth imaging. By integrating in-pixel surface detection and dynamic vision capabilities, Mai’s design overcomes key limitations of traditional scanning LIDAR—eliminating moving parts while enabling precise, real-time 3D depth mapping. This innovation has significant implications for autonomous vehicles, robotics, and augmented reality, where robust, high-speed depth perception is critical. His contributions advance the field of single-photon direct ToF sensors, pushing the boundaries of efficiency and accuracy in challenging environments. With a growing citation impact, Mai’s work is recognized for bridging the gap between theoretical sensor design and practical, high-performance applications. His research continues to inspire new directions in compact, reliable 3D imaging systems, making him a notable figure in the evolution of next-generation vision technologies for both industrial and consumer use.

Research Focus

Key Achievements

Top Papers

1. 1
   A Direct Time-of-Flight Image Sensor With In-Pixel Surface Detection and Dynamic Vision

   35 citations · 2023

Key Collaborators

Contact & Links