Shenglong Zhuo

Fudan University

Papers

1

Total Citations

11

H-Index

1

About

Shenglong Zhuo is a leading researcher in the field of solid-state LiDAR and advanced 3D sensing technologies, with a focus on time-of-flight (ToF) systems. His major contributions center on the development of high-performance, scalable LiDAR architectures that bridge the gap between cutting-edge research and practical deployment. Notably, his work on an eight-channel addressable transmitter delivering 20W per channel, paired with a 128x128 SPAD receiver, introduces innovative SNR-based pixel binning and resolution upscaling techniques. This design enables robust depth sensing in challenging environments, directly addressing critical needs in secure facial authentication, augmented reality occlusion, robotic vision, SLAM, autonomous driving, and 3D reconstruction. His most-cited paper, published in 2022, has already garnered 11 citations, reflecting its timely impact on the rapidly evolving field of 3D imaging. Through his research, Zhuo is helping to make high-resolution, solid-state LiDAR more accessible and reliable, advancing the state of the art for both industrial and consumer applications.

Research Focus

Key Achievements

1
H-Index
1
Papers
11
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
Solid-State dToF LiDAR System Using an Eight-Channel Addressable, 20W/Ch Transmitter, and a 128x128 SPAD Receiver with SNR-Based Pixel Binning and Resolution Upscaling
11 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 17
🏛 Institutions: Fudan University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago