| CPC G06V 10/764 (2022.01) [G06T 7/62 (2017.01); G06T 7/70 (2017.01); G06T 17/00 (2013.01); G06V 10/28 (2022.01); G06T 2207/10024 (2013.01); G06T 2207/30242 (2013.01)] | 19 Claims |

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1. A method, comprising:
generating, by a sensing system, an image from a point cloud including data points in three dimensions, the data points being associated with at least three values, wherein the three dimensions are spatially correlated and include a radius in at least one of cylindrical coordinates or spherical coordinates, the image generated by mapping first and second values of a data point to first and second coordinates of a pixel of the image and a third value of the data point to an intensity of the pixel, wherein the mapping includes selecting the third value to correspond to a radius of the data point; and
invoking a machine learning model to process the image, wherein the machine learning model is trained for image processing.
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