Jiqing Xu

Fudan University

Papers

1

Total Citations

11

H-Index

1

About

Jiqing Xu is a leading innovator in solid-state LiDAR and 3D sensing technologies, with a focus on developing high-performance, scalable systems for autonomous navigation, robotics, and augmented reality. His most cited work, a 2022 paper on a solid-state direct time-of-flight (dToF) LiDAR system, introduces an eight-channel addressable transmitter delivering 20W per channel paired with a 128x128 single-photon avalanche diode (SPAD) receiver. This system achieves significant advances in depth resolution and power efficiency through SNR-based pixel binning and resolution upscaling—critical for applications like SLAM, facial authentication, and 3D reconstruction. With 11 citations, this work underscores Xu’s impact on bridging the gap between high-performance LiDAR and practical, compact designs. His contributions are shaping the next generation of 3D sensors, enabling more reliable and precise spatial awareness in real-world environments. Xu’s research continues to push boundaries in solid-state LiDAR, making him a key figure in the evolution of autonomous and interactive systems.

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