Hierarchical behavior learning

A hierarchical vehicular anomaly detection system, comprising:

• one or more manager devices, each manager device being associated with a certain geographic area;
• and
• an ego vehicle communicable connected to the one or more manager devices,
• wherein the one or more manager devices is configured to execute instructions to:
• collect first vehicle data of driving behavior of vehicles in a first set of environmental conditions;
• identify first repetitive driving behavior and first contrasting driving behavior with respect to driving behavior in the first set of environmental conditions based on the first vehicle data;
• collect second vehicle data of driving behavior of vehicles in a second set of environmental conditions;
• and
• identify second repetitive driving behavior and second contrasting driving behavior with respect to driving behavior in the second set of environmental conditions based on the second vehicle data,
• wherein one of the ego vehicle and the one or more manager devices is configured to execute instructions to:
• detect one or more driving variabilities by comparing the second repetitive driving behavior and second contrasting driving behavior to the first repetitive driving behavior and first contrasting driving behavior to identify deviated driving behavior;
• and
• update first anomalous driving detection results from an anomalous driving detection model based on the detected driving variabilities.

A server, comprising:

• a memory storing instructions;
• and
• at least one processor communicably coupled to the memory and configured to execute the instructions to:
• detect a vehicle in a first set of environmental conditions, the first set of environmental conditions comprising a first geographic area associated with the server;
• obtain first driving variability data for the first set of environmental conditions, the first driving variability data based on vehicle data of driving behavior of vehicles in the first set of environmental condition;
• obtain second driving variability data for a second set of environmental conditions that differ from the first set of environmental conditions, the second driving variability data based on vehicle data of driving behavior of vehicles in the second set of environmental condition;
• identify one or more driving variabilities based on a comparison between the first and second driving variability data;
• and
• operate the vehicle based on the identified one or more driving variabilities.