Perception error modeling
US11810365B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 15, 2020 |
| Grant date | Nov 7, 2023 |
| Priority date | — |
| Expiry date | Jan 4, 2042 |
Classification
- Technology area (CPC B)Performing Operations; Transporting
- CPC primaryB60W2554/4049
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Techniques for modeling the probability distribution of errors in perception systems are discussed herein. For example, techniques may include modeling error distribution for attributes such as position, size, pose, and velocity of objects detected in an environment, and training a mixture model to output specific error probability distributions based on input features such as object classification, distance to the object, and occlusion. The output of the trained model may be used to control the operation of a vehicle in an environment, generate simulations, perform collision probability analyses, and to mine log data to detect collision risks.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.