METHOD FOR CHARACTERIZING LIDAR POINT CLOUD QUALITY

Systems, methods, and computer-readable media are disclosed for characterizing LIDAR point cloud quality. An example method may involve capturing a first point cloud for a test target including a retroreflective object, the first point cloud including a first region. The example method may also invo...

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Bibliographische Detailangaben
Hauptverfasser:	SCHOUTEN-EVERS, Laurens M, MORELLI, Michael V
Format:	Patent
Sprache:	eng ; fre ; ger
Schlagworte:	ANALOGOUS ARRANGEMENTS USING OTHER WAVES CALCULATING COMPUTING COUNTING DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES IMAGE DATA PROCESSING OR GENERATION, IN GENERAL LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION ORRERADIATION OF RADIO WAVES MEASURING PHYSICS RADIO DIRECTION-FINDING RADIO NAVIGATION TESTING
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Beschreibung
Zusammenfassung:	Systems, methods, and computer-readable media are disclosed for characterizing LIDAR point cloud quality. An example method may involve capturing a first point cloud for a test target including a retroreflective object, the first point cloud including a first region. The example method may also involve capturing, by a LIDAR system, a second point cloud for the test target. The example method may also involve applying a penalty function to a first point in the second point cloud, wherein the first point is within an acceptable error threshold based on the first region. The example method may also involve applying a penalty function to a second point in the second point cloud, wherein the second point is outside of the acceptable error threshold based on the first region. The example method may also involve generating a first score for the first point and a second score for the second point based on the penalty function. The example method may also involve combining the first score and the second score to produce a point cloud quality metric for the second point cloud. The example method may also involve calibrating, based on the point cloud quality metric, the LIDAR system for the retroreflective object.