Systems and methods for intelligently calibrating infrastructure devices using onboard sensors of an autonomous agent

A method for determining a calibration error associated with an infrastructure device of a set of infrastructure devices, the method comprising:

• receiving, at the remote computing system:
• a first stream of observation data associated with a first set of timestamps, wherein the first stream of observation data is received from a set of one or more infrastructure sensors onboard the infrastructure device;
• a second stream of observation data associated with a second set of timestamps, wherein the second stream of observation data is received from a set of one or more agent sensors onboard an autonomous agent, wherein the autonomous agent is arranged with a field of sensing of the infrastructure device;
• associating the first stream of observation data with the second stream of observation data based on an overlap between the first and second sets of timestamps, wherein associating the first and second streams of observation data comprises determining a set of mutually optimal observation data, wherein the mutually optimal observation data comprises at least:
• a portion of the first stream of observation data, wherein the portion of the first stream of observation data comprises information associated with the autonomous agent;
• and
• a portion of the second stream of observation data, wherein the portion of the second stream of observation data comprises information associated with the infrastructure device;
• identifying a dissonance parameter between the first and second streams of observation data based on the mutually optimal observation data;
• determining a calibration error based on the dissonance parameter;
• and
• updating the state of calibration of the infrastructure device based on the calibration error.