We present methods enabling rapid non-uniformity and range walk error correction of 3D flash LiDAR imagers that exhibit electronic crosstalk caused by simultaneously triggering too many detectors. This additional electronic crosstalk is referred to as simultaneous ranging crosstalk noise (SRCN). Using a method in which the 3D flash LiDAR imager views a checkerboard target downrange, the SRCN is largely mitigated. Additionally, processing techniques for computing the non-uniformity correction (NUC) and range walk error correction are described; these include an in-situ thermally compensated dark-frame non-uniformity correction, image processing and filtering techniques for the creation of a photo-response non-uniformity correction, and characterization and correction of the range walk error using data collected across the full focal plane array without the need for sampling or windowing. These methods result in the ability to correct noisy test validation data to a range precision of 8.04 cm and a range accuracy of 1.73 cm and to improve the signal-to-noise ratio of the intensity return by 15 to 49 dB. Visualization of a 3D scene corrected by this process is additionally presented.

中文翻译：

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3D Flash LiDAR 成像器的快照校正

我们提出了能够对 3D 闪光 LiDAR 成像器进行快速非均匀性和测距误差校正的方法，这些成像器表现出由同时触发过多探测器引起的电子串扰。这种额外的电子串扰称为同步测距串扰噪声 (SRCN)。使用 3D 闪光 LiDAR 成像器查看棋盘格目标向下范围的方法，SRCN 得到了很大程度的缓解。此外，还描述了用于计算非均匀性校正 (NUC) 和范围游动误差校正的处理技术；这些包括原位热补偿暗帧非均匀性校正、图像处理和滤波技术，用于创建光响应非均匀性校正，使用在整个焦平面阵列上收集的数据来表征和校正距离游走误差，而无需采样或开窗。这些方法能够将有噪声的测试验证数据校正到 8.04 厘米的距离精度和 1.73 厘米的距离精度，并将强度返回的信噪比提高 15 到 49 dB。另外呈现了通过该过程校正的 3D 场景的可视化。