Abstract: A system for generating a map of a paved surface for a vehicle and localizing the vehicle on the map of the paved surface includes an imaging sensor, a vehicle odometry sensor, a memory, a processor, and a transceiver. The imaging sensor captures a series of image frames. The vehicle odometry sensor measures an orientation, a velocity, and an acceleration of the vehicle. The memory stores a mapping engine as computer readable code. The processor executes the mapping engine to generate a map. The transceiver uploads the map to a server such that the map is accessed by a second vehicle that uses the map to traverse the external environment.

Abstract: Methods and systems for assisting a vehicle to park using mixed-domain image data. Image-domain data is generated based on raw image data received from a plurality of cameras mounted on a vehicle. A bird's-eye-view (BEV) image is generated based on the raw image data. BEV-domain data associated with the BEV image is generated, which includes data associated with parking landmarks in the parking zone. A tri-perspective view (TPV) and associated data can be generated. A computing system localizes the vehicle within the parking zone based on the BEV-domain data, the image-domain data, and the TPV-domain data to generate localization data. The computing system performs mapping of the parking zone based on all three image-domain data and the localization data. A motion sensor such as an inertial measurement unit (IMU) can generate data that is used to compensate the various domain data.

Abstract: Embodiments of the present disclosure provide a solution for conformation generation optimization. A method includes: determining a sequence feature representation and a conformation feature representation of a protein, the sequence feature representation characterizing an amino acid sequence of the protein and the conformation feature representation characterizing a conformation of the protein; fusing the sequence feature representation and the conformation feature representation based on a plurality of reference conformations in a conformation sequence of the protein, to obtain a fused feature representation; and generating a target conformation at a target temporal position in the conformation sequence at least based on the fused feature representation.

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.