System and method for determination of quality label for probe data

A system comprising:

• at least one processor;
• and
• at least one memory including computer program code for one or more programs,
• the at least one memory and the computer program code configured to, with the at least one processor, cause the system to perform at least the following:
• obtain probe data associated with a road segment, wherein the probe data comprises of a set of probe data records;
• apply a machine learning (ML) model on the set of probe data records to determine an anomaly score for each probe data record of the set of probe data records, wherein the ML model is trained to detect a set of anomalies associated with the probe data and further assign an anomaly score to each probe data record of the set of probe data records based on the detected set of anomalies;
• and
• determine a quality label for the probe data based on the anomaly score.

A non-transitory computer-readable medium having stored thereon, computer-executable instructions that when executed by a processor of a system, causes the processor to execute operations, the operations comprising:

• obtain probe data associated with a road segment, wherein the probe data comprises of a set of probe data records;
• apply a machine learning (ML) model on the set of probe data records to determine an anomaly score for each probe data record of the set of probe data records, wherein the ML model is trained to detect a set of anomalies associated with the probe data and further assign an anomaly score to each probe data record of the set of probe data records based on the detected set of anomalies;
• and
• determine a quality label for the probe data based on the anomaly score.