Method and apparatus with global localization
US-2023114734-A1 · Apr 13, 2023 · US
US2024062528A1 · US · A1
| Field | Value |
|---|---|
| Publication number | US-2024062528-A1 |
| Application number | US-202318498024-A |
| Country | US |
| Kind code | A1 |
| Filing date | Oct 30, 2023 |
| Priority date | May 8, 2018 |
| Publication date | Feb 22, 2024 |
| Grant date | — |
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A synthetic world interface may be used to model digital environments, sensors, and motions for the evaluation, development, and improvement of localization algorithms. A synthetic data cloud service with a library of sensor primitives, motion generators, and environments with procedural and game-like capabilities, facilitates engineering design for a manufactural solution that has localization capabilities. In some embodiments, a sensor platform simulator operates with a motion orchestrator, an environment orchestrator, an experiment generator, and an experiment runner to test various candidate hardware configurations and localization algorithms in a virtual environment, advantageously speeding development and reducing cost. Thus, examples disclosed herein may relate to virtual reality (VR) or mixed reality (MR) implementations.
Opening claim text (preview).
What is claimed is: 1 . A system, comprising: memory embodied with executable instructions for simulating a first hardware configuration; and at least one processor programmed for: simulating one or more virtual environments; varying lighting in different instances of the simulated one or more virtual environments for testing a localization algorithm; simulating three-dimensional (3D) motion of the first hardware configuration within the different instances of the one or more virtual environments in which the lighting is varied; generating synthetic experiment data for the first hardware configuration having the simulated 3D motion within the one or more virtual environments in which the lighting is varied; applying one or more localization algorithms to the first hardware configurations with the simulated 3D motion in the one or more virtual environments in which the lighting is varied; determining disparity data of the one or more localization algorithms against ground truth data from the one or more localization algorithms applied to the simulated first hardware configuration with the simulated 3D motion in the one or more virtual environments in which the lighting is varied; based on the disparity data of the one or more localization algorithms against ground truth data, selecting a first localization algorithm for the first hardware configuration.
Generating sets of training patterns; Bootstrap methods, e.g. bagging or boosting · CPC title
Design optimisation, verification or simulation (optimisation, verification or simulation of circuit designs G06F30/30) · CPC title
for test design, e.g. generating new test cases · CPC title
by simulating additional hardware, e.g. fault simulation · CPC title
Validation; Performance evaluation; Active pattern learning techniques · CPC title
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