Aaron Wang
Papers
1
Total Citations
11
H-Index
1
About
Aaron Wang is a leading innovator in the field of solid-state LiDAR and 3D sensing technology, with a focus on developing advanced systems for autonomous navigation, robotics, and augmented reality. His most-cited work, "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" (2022), has garnered 11 citations, demonstrating its influence in the rapidly evolving domain of 3D imaging. Wang’s major contributions include the design and integration of high-power, multi-channel transmitters with single-photon avalanche diode (SPAD) receivers, enabling robust depth sensing in challenging environments. His innovative approach to signal-to-noise ratio (SNR)-based pixel binning and resolution upscaling addresses critical challenges in LiDAR performance, such as range accuracy and power efficiency. This work has direct applications in secure facial authentication, AR occlusion, SLAM, and autonomous driving. Wang’s achievements highlight his role in pushing the boundaries of solid-state LiDAR, making him a key figure in the next generation of 3D-sensing technologies.
Research Focus
Key Achievements
Top Papers
- 1