Abstract: A method that includes obtaining a first image from a first camera disposed on a vehicle and generating a birds-eye view (BEV) image using the first image. The method further includes processing, with a machine-learned model, the BEV image to produce parking slot prediction data. The parking slot prediction data includes a first center coordinate for a first available parking slot, a first parking slot confidence, and a first corner displacement data. The first corner displacement data includes a first relative coordinate pair that locates a first corner relative to the first center coordinate and a second relative coordinate pair that locates a second corner relative to the first center coordinate. The method further includes determining a first location of the first available parking slot using the parking slot prediction data and parking the vehicle in the first available parking slot when the first parking slot confidence meets a threshold.

Abstract: A method that includes obtaining a first image from a first camera disposed on a vehicle and generating a birds-eye view (BEV) image using the first image. The method further includes processing, with a machine-learned model, the BEV image to produce parking slot prediction data. The parking slot prediction data includes a first center coordinate for a first available parking slot, a first parking slot confidence, and a first corner displacement data. The first corner displacement data includes a first relative coordinate pair that locates a first corner relative to the first center coordinate and a second relative coordinate pair that locates a second corner relative to the first center coordinate. The method further includes determining a first location of the first available parking slot using the parking slot prediction data and parking the vehicle in the first available parking slot when the first parking slot confidence meets a threshold.

Abstract: A computer server controls access to a hosted service using digital certificates that are requested from each client attempting to access the service. When a particular client accesses the hosted service, the host service requests a digital certificate from the particular client and issues a challenge message. The particular client signs the challenge message and provides a client digital certificate to the hosted service. The hosted service confirms that the signature on the challenge message matches the client digital certificate, and that the client digital certificate is signed by a trusted entity. Trusted entities are defined by an administrator by uploading, to the hosted service, one or more trusted digital certificates associated with a trusted entities. Using the trusted digital certificates, the hosted service confirms that the digital certificate provided by the particular client is signed by at least one of the trusted entities.

Abstract: Embodiments of the present disclosure provide a method and apparatus for generating information, and relate to the field of cloud computation. The method may include: receiving a video and an audio of a user from a client; analyzing the video and the audio to determine an intention category of the user; generating feedback information according to the intention category of the user and a preset service information set; generating a video of a pre-established three-dimensional virtual portrait by means of an animation engine based on the feedback information; and transmitting the video of the three-dimensional virtual portrait to the client, for the client to present to the user.

Abstract: Embodiments of the present disclosure provide a method and apparatus for generating information, and relate to the field of cloud computation. The method may include: receiving a video and an audio of a user from a client; analyzing the video and the audio to determine an intention category of the user; generating feedback information according to the intention category of the user and a preset service information set; generating a video of a pre-established three-dimensional virtual portrait by means of an animation engine based on the feedback information; and transmitting the video of the three-dimensional virtual portrait to the client, for the client to present to the user.

Abstract: Embodiments of the present disclosure provide a method and apparatus for generating information, and relate to the field of cloud computation. The method may include: receiving a video and an audio of a user that are sent by a client by means of instant communication; generating user feature information and text reply information according to the video and the audio; generating a control parameter and a reply audio for a three-dimensional virtual portrait according to the user feature information and the text reply information; generating a video of the three-dimensional virtual portrait by means of an animation engine based on the control parameter and the reply audio; and transmitting the video of the three-dimensional virtual portrait to the client by means of instant communication, for the client to present to the user.

Abstract: Methods, systems, and computer-readable media for virtual desktop access using device-native user interfaces are disclosed. A virtual desktop instance is implemented on behalf of a user. One or more applications are installed on the virtual desktop instance and executed using a virtualized computing resource instance. Data associated with the virtual desktop instance is sent to a first user device that implements a first device platform. A first graphical user interface (GUI) for the virtual desktop interface is generated using the data and displayed on a first display of the first device. The data is sent to a second user device that implements a second device platform differing from the first device platform. A second GUI for the virtual desktop interface is generated using the data and displayed on a second display of the second device. The second GUI differs at least in part from the first GUI.