An Asynchronous Peak Finding Approach for Neuromorphic Depth Sensing in Flash LiDAR

In this paper, we present a novel asynchronous peak detection method for Direct Time-of-Flight (dToF) flash LiDAR systems. The approach allows to adjust the exposure time in each pixel based on thresholding the maximum of the histogram with a statistical confidence level. By asynchronously reporting peak events instead of entire frames, our approach significantly reduces latency and enhances photon efficiency. Implemented on a Xilinx Kintex-7 FPGA and tested on a 128x64 SPAD array, the method demonstrates improved motion blur mitigation. This technique holds promise for applications such as autonomous vehicles and augmented reality, where rapid and accurate depth sensing is essential.