A control subsystem of an autonomous vehicle AV , the control subsystem comprising processing circuitry configured to: receive one or more signals from one or more sensors carried by the AV; evaluate signal characteristics of the one or more signals to identify one or more signals having signal characteristics indicative of an abnormal operational state; in an instance one or more abnormal operational states are identified, cause a rescue signal to be provided; and perform a safety maneuver within a time window with respect to a safety location, wherein the processing circuitry is further configured to: process the one or more signals from the one or more sensors, using one or more image processing models, to determine one or more detected objects on a road segment; compare the one or more detected objects to one or more expected objects, wherein the one or more expected objects are based at least in part on a stored operational defined domain; in an instance one or more discrepancies are detected between the one or more detected objects and the one or more expected objects, determine whether the one or more discrepancies are defined in the stored operational defined domain as relating to an abnormal operational state; and in an instance the one or more discrepancies relate to an abnormal operational state, identify the abnormal operational state. receive one or more signals from one or more sensors carried by the AV; evaluate signal characteristics of the one or more signals to identify one or more signals having signal characteristics indicative of an abnormal operational state; in an instance one or more abnormal operational states are identified, cause a rescue signal to be provided; and perform a safety maneuver within a time window with respect to a safety location, wherein the processing circuitry is further configured to: process the one or more signals from the one or more sensors, using one or more image processing models, to determine one or more detected objects on a road segment; compare the one or more detected objects to one or more expected objects, wherein the one or more expected objects are based at least in part on a stored operational defined domain; in an instance one or more discrepancies are detected between the one or more detected objects and the one or more expected objects, determine whether the one or more discrepancies are defined in the stored operational defined domain as relating to an abnormal operational state; and in an instance the one or more discrepancies relate to an abnormal operational state, identify the abnormal operational state. process the one or more signals from the one or more sensors, using one or more image processing models, to determine one or more detected objects on a road segment; compare the one or more detected objects to one or more expected objects, wherein the one or more expected objects are based at least in part on a stored operational defined domain; in an instance one or more discrepancies are detected between the one or more detected objects and the one or more expected objects, determine whether the one or more discrepancies are defined in the stored operational defined domain as relating to an abnormal operational state; and in an instance the one or more discrepancies relate to an abnormal operational state, identify the abnormal operational state. <EOS>