Apparatus for recognizing object of automated driving system using error removal based on object classification and method using the same
US11507783B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 20, 2021 |
| Grant date | Nov 22, 2022 |
| Priority date | — |
| Expiry date | Jul 20, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30252
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Disclosed herein are an object recognition apparatus of an automated driving system using error removal based on object classification and a method using the same. The object recognition method is configured to train a multi-object classification model based on deep learning using training data including a data set corresponding to a noise class, into which a false-positive object is classified, among classes classified by the types of objects, to acquire a point cloud and image data respectively using a LiDAR sensor and a camera provided in an autonomous vehicle, to extract a crop image, corresponding to at least one object recognized based on the point cloud, from the image data and input the same to the multi-object classification model, and to remove a false-positive object classified into the noise class, among the at least one object, by the multi-object classification model.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.