Object detection using skewed polygons suitable for parking space detection
US11195331B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 16, 2020 |
| Grant date | Dec 7, 2021 |
| Priority date | — |
| Expiry date | Mar 16, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30264
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A neural network may be used to determine corner points of a skewed polygon (e.g., as displacement values to anchor box corner points) that accurately delineate a region in an image that defines a parking space. Further, the neural network may output confidence values predicting likelihoods that corner points of an anchor box correspond to an entrance to the parking spot. The confidence values may be used to select a subset of the corner points of the anchor box and/or skewed polygon in order to define the entrance to the parking spot. A minimum aggregate distance between corner points of a skewed polygon predicted using the CNN(s) and ground truth corner points of a parking spot may be used simplify a determination as to whether an anchor box should be used as a positive sample for training.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.