Systems and methods for convolutional high resolution lidar imaging

A system, comprising:

• a processor;
• a non-transitory computer-readable storage medium comprising programming instructions that are configured to cause the processor to implement a method for operating a lidar system, wherein the programming instructions comprise instructions to:
• cause each of a plurality of photodetectors to facilitate measurements of an intensity of a light signal reflected off an object external to the lidar system;
• receive result values from the plurality of photodetectors that indicate measured reflected intensities of the light signal;
• perform at least one convolutional algorithm to combine different sets of the result values to produce a plurality of feature values, wherein the different sets of the result values partially overlap with each other;
• generate at least one depth image or point cloud comprising a plurality of super pixels having values respectively set to the feature values;
• and
• perform post processing operations for correcting an edge effect of the at least one depth image, wherein the edge effect results from the performing of the at least one convolutional algorithm.

A non-transitory computer-readable medium that stores instructions that are configured to, when executed by at least one computing device, cause the at least one computing device to perform operations comprising:

• causing a plurality of photodetectors to facilitate measurements of an intensity of a light signal reflected off an object external to a lidar system;
• receiving result values from the photodetectors that indicate measured reflected intensities of the light signal;
• performing at least one convolutional algorithm to combine different sets of the result values to produce a plurality of feature values, wherein the different sets of the result values partially overlap with each other;
• generating at least one depth image or point cloud comprising a plurality of super pixels having values respectively set to the feature values;
• and
• perform post processing operations for correcting an edge effect of the at least one depth image, wherein the edge effect results from the performing of the at least one convolutional algorithm.