A METHOD, COMPUTER PROGRAM, COMPUTER PROGRAM PRODUCT AND SYSTEM FOR CONFIGURATION OF A SENSOR SYSTEM

    公开(公告)号:EP4400989A1

    公开(公告)日:2024-07-17

    申请号:EP24151078.3

    申请日:2024-01-10

    申请人: Sparsit AB

    IPC分类号: G06F17/11 H04N19/00

    CPC分类号: G06F17/11

    摘要: The present disclosure relates to a computer-implemented method for r configuration of a sensor system, said method (500) comprising providing (510,520), for a training dataset X consisting of at least one data element Xi for a measurement of the sensor system (200) relating to an initial set-up of the sensor system (200), a dictionary D forming a signal model comprising at least one basis function and at least one set of sparse coefficients S. Each set of sparse coefficients Si and the dictionary D represents one of the data elements Xi of said training dataset X. Determining (530) an optimal sub-sampling operator ψ based on the dictionary D and said at least one set of sparse coefficients S, wherein the optimal sub-sampling operator ψ is a selection of a true subset of the sample positions of the training dataset X, wherein the true subset corresponds to the sample positions containing the most important samples of the training dataset X. Configuring (540) the sensor system (200) based on the initial set-up of the sensor system (200) and the optimal sub-sampling operator ψ.

    DATA PROCESSING APPARATUS, PROGRAM, AND DATA PROCESSING METHOD

    公开(公告)号:EP4345696A1

    公开(公告)日:2024-04-03

    申请号:EP23194811.8

    申请日:2023-09-01

    IPC分类号: G06N5/01 G06F17/11 G06N7/01

    摘要: A storing unit stores, amongst coefficients, values of a coefficient group associated with one selected from multiple variable groups, which are obtained by dividing state variables of an evaluation function. A searching unit searches for a solution to an optimization problem by repeating update processing, which includes calculating, using the values of the coefficient group, a value change of the evaluation function responsive to changing the value of each state variable of the variable group and changing the value of one state variable thereof based on the value change and temperature. A processing unit calculates multiplicity indicating the iteration count in which the values of the variable group are maintained in a search using Markov chain Monte Carlo (MCMC), and causes, responsive to cumulated multiplicity exceeding a threshold, the searching unit to perform the update processing using the values of the coefficient group associated with a different variable group.

    NAVIGATION INFORMATION PROCESSING METHOD AND APPARATUS, ELECTRONIC DEVICE, AND STORAGE MEDIUM

    公开(公告)号:EP4300042A1

    公开(公告)日:2024-01-03

    申请号:EP22758966.0

    申请日:2022-02-25

    摘要: Disclosed is a navigation information processing method and apparatus, an electronic device, and a storage medium. The navigation information processing method includes: acquiring (S 101) motion state information of a vehicle based on an inertial device, and acquiring vehicle information of the vehicle based on a controller area network; performing (S102) a strapdown solution on the motion state information to obtain navigation information; fusing (S 103) the navigation information and the vehicle information by using a preset Kalman filter to obtain target navigation information, where an input vector of the Kalman filter is a two-dimensional vector; and navigating (S104) the vehicle based on the target navigation information. In the navigation information processing method, data collection does not need to rely on environment, and problems of unstable navigation effects caused by insufficient acquired data are solved. A Kalman filter is used to fuse navigation information and vehicle information, improving accuracy of navigation information and precision of positioning. In addition, a two-dimensional vector is used as an input vector of the Kalman filter, which has a simple filtering manner and consumes few hardware resources, reducing navigation costs.

    SYSTEM OPTIMISATION METHODS
    5.
    发明公开

    公开(公告)号:EP4254226A1

    公开(公告)日:2023-10-04

    申请号:EP22164734.0

    申请日:2022-03-28

    IPC分类号: G06F17/11 G06N10/00

    摘要: A computer-implemented method comprising receiving a plural number of candidate parameter value sets in a specified order, each comprising a respective candidate parameter value for at least one parameter of an optimisation algorithm, wherein the number of candidate parameter value sets is based on a processing budget; for each candidate parameter value set in the sequence: applying the optimisation algorithm, with the at least one parameter set to the respective candidate parameter value, to a plurality of initial states of a model representing a system to generate corresponding candidate updated states, and evaluating each of the candidate updated states according to an optimality metric to generate a corresponding optimality score; selecting, as an estimated optimal state of the model, the candidate updated state having the highest optimality score; and outputting the selected estimated optimal state of the model to a user interface, network interface or other application.

    OPTIMIZATION DEVICE, OPTIMIZATION METHOD, AND OPTIMIZATION PROGRAM

    公开(公告)号:EP3989085A1

    公开(公告)日:2022-04-27

    申请号:EP21181409.0

    申请日:2021-06-24

    申请人: FUJITSU LIMITED

    摘要: An optimization device of optimizing a shape of an object, the optimization device being configured to perform an optimization processing, the optimization processing including: obtaining an objective function equation based on a contribution to a predetermined characteristic of the object in each element of a plurality of elements, each of the plurality of elements being an element obtained by dividing the object arranged in a design region; and optimizing the shape of the object by determining, for the each element of the object, whether to arrange the each element of the object based on the obtained objective function equation.