Abstract: A vehicle control method and system includes: acquiring a face image of a user currently requesting to use a vehicle; acquiring a feature matching result between the face image and at least one pre-stored face image in a data set of the vehicle, where the data set stores pre-stored face images of at least one pre-recorded user allowed to use the vehicle; and if the feature matching result indicates that the feature matching is successful, controlling actions of the vehicle to allow the user to use the vehicle. The rights of pre-recorded personnel can be guaranteed based on feature matching, and feature matching can be achieved without a network, thereby overcoming the dependency on the network and further improving the safety guarantee of the vehicle.

Abstract: A vehicle control method and system includes: acquiring a face image of a user currently requesting to use a vehicle; acquiring a feature matching result between the face image and at least one pre-stored face image in a data set of the vehicle, where the data set stores pre-stored face images of at least one pre-recorded user allowed to use the vehicle; and if the feature matching result indicates that the feature matching is successful, controlling actions of the vehicle to allow the user to use the vehicle. The rights of pre-recorded personnel can be guaranteed based on feature matching, and feature matching can be achieved without a network, thereby overcoming the dependency on the network and further improving the safety guarantee of the vehicle.

Abstract: Embodiments of the present disclosure disclose driving management methods and systems, vehicle-mounted intelligent systems, electronic devices, and medium. The method includes: controlling a camera assembly provided on a vehicle to collect a video stream of a vehicle driver; obtaining a feature matching result of a face part of at least one image in the video stream and at least one pre-stored face image in a data set, where the data set stores a pre-stored face image of at least one registered driver; and if the feature matching result represents that the feature matching is successful, controlling the vehicle to execute an operation instruction received by the vehicle. The embodiments of the present disclosure reduce the dependence of the driver identification on a network, can realize feature matching without the network, and further improve the safety guarantee of the vehicle.

Abstract: Embodiments of the present disclosure disclose driving management methods and systems, vehicle-mounted intelligent systems, electronic devices, and medium. The method includes: controlling a camera assembly provided on a vehicle to collect a video stream of a vehicle driver; obtaining a feature matching result of a face part of at least one image in the video stream and at least one pre-stored face image in a data set, where the data set stores a pre-stored face image of at least one registered driver; and if the feature matching result represents that the feature matching is successful, controlling the vehicle to execute an operation instruction received by the vehicle. The embodiments of the present disclosure reduce the dependence of the driver identification on a network, can realize feature matching without the network, and further improve the safety guarantee of the vehicle.

Abstract: Embodiments of the present disclosure disclose driving management methods and systems, vehicle-mounted intelligent systems, electronic devices, and medium. The method includes: controlling a camera assembly provided on a vehicle to collect a video stream of a vehicle driver; obtaining a feature matching result of a face part of at least one image in the video stream and at least one pre-stored face image in a data set, where the data set stores a pre-stored face image of at least one registered driver; and if the feature matching result represents that the feature matching is successful, controlling the vehicle to execute an operation instruction received by the vehicle. The embodiments of the present disclosure reduce the dependence of the driver identification on a network, can realize feature matching without the network, and further improve the safety guarantee of the vehicle.

Abstract: A vehicle control method and system includes: acquiring a face image of a user currently requesting to use a vehicle; acquiring a feature matching result between the face image and at least one pre-stored face image in a data set of the vehicle, where the data set stores pre-stored face images of at least one pre-recorded user allowed to use the vehicle; and if the feature matching result indicates that the feature matching is successful, controlling actions of the vehicle to allow the user to use the vehicle. The rights of pre-recorded personnel can be guaranteed based on feature matching, and feature matching can be achieved without a network, thereby overcoming the dependency on the network and further improving the safety guarantee of the vehicle.

Abstract: A rotating electric machine includes a rotor, a stator, formed by stacking perforated-disk-shape stator cores, surrounding the rotor, arranged with a gap from the rotor, a first stator cooling duct to allow the cooling gas to flow from an inner side toward outer side of the stator, a second stator cooling duct to allow the cooling gas to flow from an outer side to an inner side of the stator, a plurality of support plates for supporting the stator and providing sectioning between the first and second flow paths, and a flow control part configured to suppress a flow of the cooling gas passing through the gap part where the outer end part of the stator core and the inner end part of the support plate face each other.