Dynamic calibration of 3D acquisition systems

A processor readable non-transitory storage media that includes instructions that are configured to enable calibration of sensors, wherein execution of the instructions, by one or more processors on one or more network computers, causes performance of actions, comprising:

• detecting a plurality of signals, by two or more sensors, for one or more signal beams that are reflected by an object, wherein the one or more signal beams are scanned over a plurality of paths across the object;
• determining a plurality of events associated with the two or more sensors based on the plurality of detected signals and the plurality of paths;
• determining a plurality of crossing points for each sensor based on one or more intersections of the plurality of paths with the scanned object and a time of the intersection, wherein one or more events associated with each sensor are associated with the plurality of crossing points for each sensor;
• comparing each crossing point of each sensor to each correspondent crossing point of each other sensor based on one or more event metrics;
• and
• determining one or more actual crossing points by performing further actions, comprising:
• determining a time associated with each crossing point for each sensor based on the plurality of events and the one or event metrics;
• determining one or more absolute time offsets between each sensor based on the time associated with each crossing point for each sensor;
• and
• employing the one or more absolute time offsets to synchronize the crossing points across the two or more sensors.

A network computer for calibrating sensors, comprising:

• a memory that stores at least instructions;
• and
• one or more processors that are configured to execute instructions that are configured to cause performance of actions, including:
• detecting a plurality of signals, by two or more sensors, for one or more signal beams that are reflected by an object, wherein the one or more signal beams are scanned over a plurality of paths across the object;
• determining a plurality of events associated with the two or more sensors based on the plurality of detected signals and the plurality of paths;
• determining a plurality of crossing points for each sensor based on one or more intersections of the plurality of paths with the scanned object and a time of the intersection, wherein one or more events associated with each sensor are associated with the plurality of crossing points for each sensor;
• comparing each crossing point of each sensor to each correspondent crossing point of each other sensor based on one or more event metrics;
• and
• determining one or more actual crossing points by performing further actions, comprising:
• determining a time associated with each crossing point for each sensor based on the plurality of events and the one or event metrics;
• determining one or more absolute time offsets between each sensor based on the time associated with each crossing point for each sensor;
• and
• employing the one or more absolute time offsets to synchronize the crossing points across the two or more sensors.