Shanghai Sensetime Intelligent Technology Co., Ltd

Renbo Qin

Ke Zhao Li

Ke Li

Chendi Yu

Daqian Yang

De Meng

Guanhua Liang

Yang Wei

Chengming Yi

The embodiments of the present disclosure disclose a driving state analysis method. The driving state analysis method includes: performing fatigue state detection and distraction state detection for a driver on a driver image to obtain a fatigue state detection result and a distraction state detection result; in response to one of the fatigue state detection result and the distraction state detection result satisfying a predetermined alarm condition, outputting alarm information of a corresponding detection result that satisfies the predetermined alarm condition; and/or, in response to both the fatigue state detection result and the distraction state detection result satisfying the predetermined alarm condition, outputting alarm information of the fatigue state detection result that satisfies the predetermined alarm condition.

Driving state analysis method and apparatus, driver monitoring system and vehicle

A passenger state analysis method and apparatus, a vehicle, an electronic device and a storage medium. The method includes: obtaining a video stream of a rear seat area in a vehicle; performing face and/or body detection on at least one image frame in the video stream; determining state information of a passenger in the rear seat area according to a face and/or body detection result; and in response to the fact that the state information of the passenger satisfies a predetermined condition, outputting prompt information to a driver area or a specified device in the vehicle.

Passenger state analysis method and apparatus, vehicle, electronic device and storage medium

Embodiments of the present disclosure provide a driving state detection method and apparatus, a driver monitoring system, and a vehicle. The driving state detection method includes: performing head pose detection and eye state detection on a driver image to obtain head pose information and eye state information; and determining detection results of fatigue state and distraction state of the driver according to the head pose information and the eye state information.

Driving state detection method and apparatus, driver monitoring system and vehicle

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.

Vehicle control method and system, vehicle-mounted intelligent system, electronic device, and medium

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.

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Shanghai, China

Renbo Qin