We present experimental methods and results for photo-response non-uniformity correction (PRNUC) in range for a 3D flash LiDAR camera from non-optimal static-scene calibration data. Range walk is also corrected. This method breaks up the camera’s focal plane array (FPA) into 16 × 16 windowed regions of interest that are incrementally captured and stitched together in post-processing across the entire FPA. The illumination was not uniform, thus requiring additional methods described by our paper to create an acceptable correction. We present the results from a full non-uniformity correction and range walk error correction processed for a set of independently collected validation frames; these validation frames used identical experimental conditions and the same target as was collected for the corrections. We will show that this experimental approach improves range accuracy and range precision of the corrected validation frames despite the sub-optimal conditions of the data used to compute the corrections; the single shot range precision is corrected to 33 cm, as compared to a modeled precision of 15.65 cm, while the accuracy is corrected to 252 cm. This method has implications for simplification of characterization of non-uniformity and range walk error, and its subsequent correction, in 3D flash LiDAR cameras.

中文翻译：

---

3D闪存LiDAR相机的窗口化感兴趣区域非均匀性校正和距离行走误差校正

我们从非最佳静态场景校准数据中为3D闪光灯LiDAR相机提供了范围内的光响应非均匀性校正（PRNUC）的实验方法和结果。范围步行也得到纠正。这种方法将相机的焦平面阵列（FPA）分解为16×16的窗口感兴趣区域，这些区域在整个FPA的后期处理中被增量捕获并缝合在一起。照明不均匀，因此需要本文描述的其他方法来创建可接受的校正。我们提供了针对一组独立收集的验证帧进行的完全非均匀性校正和距离行走误差校正的结果；这些验证框架使用相同的实验条件和与校正所收集的目标相同的目标。我们将证明，尽管用于计算校正的数据处于次优条件，该实验方法仍可提高校正后验证帧的范围精度和范围精度；与15.65厘米的模型化精度相比，单次射程的精度被校正为33厘米，而精度则被校正为252厘米。此方法对于简化3D闪存LiDAR相机中非均匀性和距离游走误差的表征及其后续校正具有影响。