15. A non-transitory computer-readable medium having stored therein instructions executable by a computing device to cause the computing device to perform functions comprising: receiving data about a surrounding environment of a vehicle from one or more sensors of the vehicle, wherein the data comprises point cloud data; determining one or more portions of the point cloud data that are representative of an object; determining a particular type of the object based at least on features extracted from the one or more portions of the point cloud data and parameters associated with a machine learning classifier; determining a confidence level associated with the determination of the particular type of the object based on a relationship between the features extracted from the one or more portions of the point cloud data and expected characteristics of features for the particular type of object; and responsive to determining that the confidence level is below a threshold, requesting via a display interface of the vehicle feedback from a user of the vehicle regarding the determination of the particular type of the object.
15. A non-transitory computer-readable medium having stored therein instructions executable by a computing device to cause the computing device to perform functions comprising: receiving data about a surrounding environment of a vehicle from one or more sensors of the vehicle, wherein the data comprises point cloud data; determining one or more portions of the point cloud data that are representative of an object; determining a particular type of the object based at least on features extracted from the one or more portions of the point cloud data and parameters associated with a machine learning classifier; determining a confidence level associated with the determination of the particular type of the object based on a relationship between the features extracted from the one or more portions of the point cloud data and expected characteristics of features for the particular type of object; and responsive to determining that the confidence level is below a threshold, requesting via a display interface of the vehicle feedback from a user of the vehicle regarding the determination of the particular type of the object. 18. The non-transitory computer-readable medium of claim 15 , wherein the machine learning classifier comprises a decision tree classifier.