Tao Xia
Papers
1
Total Citations
11
H-Index
1
About
Tao Xia is a leading figure in the field of advanced 3D sensing and LiDAR systems, with a primary focus on solid-state direct Time-of-Flight (dToF) technology. His major contributions center on developing high-performance, integrated LiDAR transceivers that push the boundaries of spatial resolution and power efficiency. In his most cited work, Xia introduced an eight-channel addressable transmitter delivering 20W per channel, paired with a 128x128 SPAD receiver array. This system features an innovative SNR-based pixel binning and resolution upscaling technique, enabling robust 3D imaging for applications ranging from secure facial authentication and augmented reality occlusion to robotic vision, SLAM, and autonomous driving. With 11 citations since 2022, this paper underscores his impact in making solid-state LiDAR more practical for real-world, high-speed environments. Xia’s work is notable for bridging the gap between cutting-edge photodetector design and system-level integration, directly addressing the growing demand for compact, reliable, and high-resolution depth sensing. His achievements position him as a key contributor to the next generation of 3D-sensing technologies that are transforming how machines perceive and interact with the physical world.
Research Focus
Key Achievements
Top Papers
- 1