Automated assessment of collision risk based on computer vision
US10817732B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 20, 2018 |
| Grant date | Oct 27, 2020 |
| Priority date | — |
| Expiry date | Jan 23, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F18/254
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
An image may be obtained from one or more cameras coupled to a first vehicle. The image may be provided as input to a machine learning algorithm configured to determine whether an object depicted in the image corresponds to another vehicle and to determine size information and location information for the object. Output from the machine learning algorithm enables obtaining features including size and location information for a second vehicle that is identified in the image. The features may be used to determine whether the second vehicle is depicted within a predetermined region of the image including a predicted travel path of the first vehicle. The features may also be used to determine whether the second vehicle is within a predetermined proximity of the first vehicle. Thereafter, a determination may be generated as to whether there is a significant risk of collision between the first vehicle and the second vehicle.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.