Bayerische Motoren Werke Aktiengesellschaft

Wenhui Lei

Carsten Isert

Lu Chen

Rick Li

Sam Lai

A vehicle scratch detection system includes a scratch detection element, disposed on a vehicle body and capable of detecting a scratch of the vehicle body, a control unit, configured to be capable of analyzing and processing detection information of the scratch detection element and determining information related to scratch, and an alarm device. The control unit is capable of triggering the alarm device to send an alarm signal according to a result of the analyzing and processing.

Vehicle scratch detection system and vehicle

A method and device for pushing content acquires at least one of information related to a vehicle and information related to a driver of the vehicle; determines information characterizing the potential demand of the driver on the knowledge related to a vehicle based on the acquired information; selecting content to be pushed to the driver based on the information characterizing the potential demand of the driver on the knowledge related to a vehicle, wherein the content comprises the knowledge related to a vehicle; and pushes the selected content to a mobile terminal of the driver.

Method and device for pushing content

A system and method for text-to-speech performance evaluation are provided. The method () for text-to-speech performance evaluation includes providing a plurality of speech samples and scores associated with the respective speech samples (); extracting acoustic features that influence the associated scores of the respective speech samples from the respective speech samples (); training a machine learning model by the acoustic features and corresponding scores (); and evaluating a text-to-speech engine by the trained machine learning model ().

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Shanghai, China

Wenhui Lei