Chill Wang

Fudan University

Papers

1

Total Citations

11

H-Index

1

About

Chill Wang is a leading innovator in the field of solid-state LiDAR and 3D sensing, with a primary focus on developing high-performance, scalable systems for applications ranging from autonomous driving and robotics to augmented reality. His most impactful work centers on the design and integration of advanced SPAD (Single Photon Avalanche Diode) receivers and high-power VCSEL transmitters for direct Time-of-Flight (dToF) imaging. In his landmark 2022 paper, Wang introduced a complete solid-state dToF LiDAR system featuring an eight-channel, 20W/ch transmitter paired with a 128x128 SPAD receiver. A key contribution was the implementation of SNR-based pixel binning and resolution upscaling, a technique that dynamically balances signal-to-noise ratio with spatial resolution to improve performance in challenging lighting conditions. This work, which has garnered 11 citations, directly addresses the critical need for compact, reliable, and high-resolution depth sensing in real-world environments. Wang’s research is pivotal in pushing LiDAR technology beyond traditional mechanical systems, enabling the next generation of robust, solid-state solutions for machine vision and spatial computing.

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 · 11 days ago