Systems and methods for detecting software interactions for individual autonomous vehicles

A computer-implemented method for analyzing data from a plurality of autonomous vehicles (“AVs”) relative to an individual AV that identifies potential performance outcomes and risks based on interactions associated with software onboard the AVs, the method implemented using an interaction and detection analysis (“IDA”) computing device including at least one processor in communication with at least one memory, the method comprising:

• receiving, from a remote computing device, AV data including software ecosystem data that represents a software ecosystem of the individual AV and hardware data that represents hardware installed on the individual AV;
• storing the received AV data in a data record in a database, wherein the data record is associated with the individual AV;
• comparing the stored software ecosystem data and hardware data for the individual AV to data associated with AVs having similar software ecosystems and hardware to the individual AV;
• identifying at least one performance outcome and risk associated therewith based on the data from the AVs having similar software ecosystems and hardware to the individual AV;
• and
• alerting a user of the individual AV of the at least one identified performance outcome and associated risk.

At least one non-transitory computer-readable media having computer-executable instructions thereon, wherein when executed by an interaction detection and analysis (“IDA”) computing device of an autonomous vehicle (“AV”), cause the at least one processor of the computing device to:

• receive, from a remote computing device, AV data including software ecosystem data that represents a software ecosystem of an individual AV and hardware ecosystem data that represents hardware installed on the individual AV;
• store the received AV data in a data record in a database, wherein the data record is associated with the individual AV;
• compare the stored software ecosystem data and hardware data for the individual AV to data associated with AVs having similar software ecosystems and hardware to the individual AV;
• identify at least one performance outcome and risk associated therewith based on the data from the AVs having similar software ecosystems and hardware to the individual AV;
• and
• alert a user of the individual AV of the at least one identified performance outcome and associated risk.