Abstract: An adaptive optimization method for a 5G weight value includes: mapping 5G MR sample points to grid elements of a 3D grid; identifying a type of each grid element; determining a weight value combination; determining a first coverage value based on a first path loss for a center grid element of the business distribution center grid cluster and each weight value combination, determining a first coverage improvement value based on the first coverage value, determining from the weight value combination an initial weight value combination; determining a second coverage value for a weak depth coverage grid element based on a second path loss and each initial weight value combination, determining a second coverage improvement value based on the second coverage value, and determining, from the initial weight value combination, a final weight value combination.

Abstract: A modular enclosure is configured to house a set of components that facilitate the autonomous functions of an autonomous vehicle while meeting a set of requirements. The set of components comprises a sensor processing unit configured to detect objects from sensors associated with the autonomous vehicle, a compute unit configured to determine a navigation path for the autonomous vehicle, a vehicle control unit configured to control the autonomous function of the autonomous vehicle, a communication gateway configured to establish communication of the autonomous vehicle, and a data diagnostics unit configured to determine a health data for at least one component of the autonomous vehicle. The set of requirements comprises a space requirement, a communication requirement, a cooling requirement, and a shock absorption requirement.

Abstract: In some embodiments, the present disclosure provides an algorithm for a data-driven intelligent adaptive model of an automobile cab based on a biometric identification technology. The algorithm includes the following steps: acquiring driving posture data, the driving posture data including driver information, automobile man-computer parameter information, and seat position information; building a feature extraction model of the driving posture data and screening feature vectors playing a significant role in predicting a seat position by the feature extraction model; building a prediction model of a comfortable seat position by a back propagation (BP) neural network and inputting the screened feature vectors to perform training on the prediction model; and inputting specific feature vectors to obtain the seat position information and accordingly adjust the seat position.

Abstract: Systems and methods for deployment on an autonomous vehicle are provided. In some example embodiments, the system includes a first compute unit and a second compute unit, in which the first compute unit is configured to receive first information of the vehicle and an environment of the vehicle, generate a first control command based on the first information, and transmit the first control command to a controller of the vehicle to effectuate an autonomous operation of the vehicle; and the second compute unit is configured to receive second information of the vehicle and the environment of the vehicle, generate a second control command based on the second information, and only when a fault or failure of the first compute unit is detected, transmits the second control command to the controller of the vehicle to effectuate the autonomous operation of the vehicle.

Abstract: An autonomous vehicle can include a compute controller that can efficiently perform autonomous driving operations. An apparatus for autonomous vehicle operation comprises an electrical board that includes a plurality of semiconductor devices; a first switch device that is electrically coupled to the plurality of semiconductor devices via a first communication bus of the electrical board; and a second switch device that is electrically coupled to the plurality of semiconductor devices via a second communication bus of the electrical board, where the second switch device is configured to route data between any two or more of the plurality of semiconductor devices using the second communication bus, and where a first data carrying capacity of the first communication bus is independent of a second data carrying capacity of the second communication bus.

Abstract: In some embodiments, the present disclosure provides an algorithm for a data-driven intelligent adaptive model of an automobile cab based on a biometric identification technology. The algorithm includes the following steps: acquiring driving posture data, the driving posture data including driver information, automobile man-computer parameter information, and seat position information; building a feature extraction model of the driving posture data and screening feature vectors playing a significant role in predicting a seat position by the feature extraction model; building a prediction model of a comfortable seat position by a back propagation (BP) neural network and inputting the screened feature vectors to perform training on the prediction model; and inputting specific feature vectors to obtain the seat position information and accordingly adjust the seat position.

Abstract: Methods, systems, and computer programs include receiving, from an advertiser, advertisement criteria associated with an advertisement; and receiving, from a database, information regarding advertisement auctions in which the advertisement participated during a predetermined time period. A simulation is run of a first of the advertisement auctions a plurality of times, wherein the bid amount for the advertisement is changed for each simulation run An identification is made of a number of users to whom the advertisement would have been presented had the bid amount of the advertisement in the first of the advertisement auction been equal to the bid amount of the advertisement in the one of the times the simulation is run. Information related to the number of users identified for each one of the plurality of times the simulation is run is provided in a report.