Rui Bai

Papers

1

Total Citations

11

H-Index

1

About

Rui Bai is a researcher specializing in solid-state LiDAR systems and advanced 3D-sensing technologies, with a focus on the intersection of photonics, integrated circuit design, and spatial computing. His most notable work, published in 2022, presents a cutting-edge solid-state direct Time-of-Flight (dToF) LiDAR system that represents a significant leap forward in depth-sensing capability. This system features an eight-channel addressable transmitter delivering 20W per channel, paired with a high-resolution 128×128 Single-Photon Avalanche Diode (SPAD) receiver array — a combination that addresses critical challenges in signal-to-noise performance and spatial resolution. His innovative SNR-based pixel binning and resolution upscaling techniques demonstrate a sophisticated understanding of how hardware constraints can be overcome through intelligent signal processing. The applications underpinning his research are far-reaching, spanning secure facial authentication, augmented reality, autonomous driving, robotic vision, SLAM, and 3D reconstruction. With his 2022 paper already accumulating 11 citations shortly after publication, Bai's contributions are gaining recognition within the LiDAR and sensing communities, positioning him as an emerging voice in next-generation perception systems for both consumer and autonomous vehicle 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

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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