Abstract: This application relates to the automated driving field, and discloses a method for identifying abnormal driving behavior, a system, and a vehicle including the system. The method for identifying abnormal driving behavior includes: obtaining vehicle driving behavior data, and determining, based on the vehicle driving behavior data, whether a vehicle is in a state of suspicious abnormal driving behavior; obtaining current vehicle driving scenario data if the vehicle is in the state of suspicious abnormal driving behavior; and determining, based on the vehicle driving behavior data and the current vehicle driving scenario data, whether the suspicious abnormal driving behavior is abnormal driving behavior. In the technical solutions of this application, current driving scenario information is introduced to an identification process of abnormal driving behavior of the vehicle, so that accuracy of identifying the abnormal driving behavior is improved.

Abstract: The present disclosure provides example methods and apparatuses for handling an exception of an in-vehicle system. One example method includes obtaining a program identifier of a first program, where the first program is a program that runs abnormally. A handling request is sent to a server, where the handling request indicates the server to determine, based on a first mapping relationship, a first handling result corresponding to first exception identification information. The handling request carries the first exception identification information, and the first exception identification information includes the program identifier of the first program. The first mapping relationship records a correspondence between a plurality of pieces of exception identification information and a plurality of handling results, and each piece of exception identification information includes one program identifier.

Abstract: This application provides an automatic vehicle window cleaning method and apparatus, used to detect a foreign object on a vehicle window based on a value of a pixel in a vehicle window image, and perform automatic cleaning. The method includes: obtaining a vehicle window image; determining a dark channel image corresponding to a single frame of vehicle window image; further determining, based on a quantity of pixels whose gray values exceed a preset gray threshold in the dark channel image and/or definition of the dark channel image, that a first-type foreign object exists on a vehicle window; and/or determining, based on RGB values of pixels in i consecutive frames of vehicle window images, that a second-type foreign object exists on the vehicle window; and controlling a cleaning tool to remove a foreign object. The foreign object includes the first-type foreign object and/or the second-type foreign object.