Low-sampling rate GPS trajectory learning
US11828860B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 27, 2021 |
| Grant date | Nov 28, 2023 |
| Priority date | — |
| Expiry date | Jan 14, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG01S19/396
- WIPO fieldMeasurement
- WIPO sectorInstruments
Abstract
One or more computer processors encode a plurality of time sequenced global position system (GPS) datapoints onto a grided dimensional area; determine a general trajectory between each time sequenced GPS datapoint in the plurality of encoded time sequenced GPS datapoints and a subsequent encoded time sequenced GPS datapoint; cluster the encoded time sequenced GPS datapoints based on a respective determined trajectory with a plurality of encoded historical GPS datapoints; calculate an azimuth for each encoded time sequenced GPS datapoint in the plurality of time sequenced GPS datapoints utilizing a plurality of adjacent historical GPS datapoints contained within a respective cluster; generate a plurality of interpolated GPS datapoints utilizing calculated azimuths, determined general trajectories, and historical GPS datapoints; and aggregate the generated interpolated GPS datapoints with the plurality of time sequenced GPS datapoints into an interpolated route, wherein each GPS datapoint in the interpolated route is within respective azimuth thresholds.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.