Method for time series structure discovery
US11148672B1 · kind B1 · utility
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18Claims
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Key dates
| Filing date | Mar 28, 2018 |
| Grant date | Oct 19, 2021 |
| Priority date | — |
| Expiry date | Apr 3, 2040 |
Classification
- Technology area (CPC B)Performing Operations; Transporting
- CPC primaryB60W2554/404
- WIPO fieldTransport
- WIPO sectorMechanical engineering
Abstract
Described is a system for analyzing time series data. A sequence of symbols is generated from a set of time series input data related to a moving vehicle using automatic segmentation. A grammar is extracted from the sequence of symbols, and the grammar is a subset of a probabilistic context-free grammar (PCFG). Using the grammar, time series input data can be analyzed, and a prediction of the vehicle's movement can be made. Vehicle operations for an autonomous vehicle are determined using the prediction.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.