Patent ID: 9728084
Date: 2017-08-08
CPC Classifications: G07C,G08G

Claim:
1. A method comprising: determining, by an apparatus, training sensor data collected during at least one driving operation of one or more vehicles, wherein one or more driving automation levels of the one or more vehicles are known; determining, by the apparatus, one or more sensor signatures for the one or more driving automation levels based, at least in part, on one or more values of one or more classification features extracted from the training sensor data, wherein the one or more classification features include one or more manually driving pattern features and one or more automatically driving pattern features, and the one or more manually driving pattern features include one or more driver physical movement features of manually driving; determining, by the apparatus, a classification of one or more other vehicles into the one or more driving automation levels based, at least in part, on a comparison of the one or more sensor signatures with sensor data collected during at least one driving operation of the one or more other vehicles and a comparison of the sensor data collected during at least one driving operation of the one or more other vehicles to the one or more manually driving pattern features and the one or more automatically driving pattern features; and adjusting, by the apparatus, power and bandwidth consumption by sampling additional sensor data from the one or more other vehicles at different frequencies based on the classification.