Collision avoidance using auditory data
US9996080B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 26, 2016 |
| Grant date | Jun 12, 2018 |
| Priority date | — |
| Expiry date | Jun 10, 2036 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG01S2013/9323
- WIPO fieldControl
- WIPO sectorInstruments
Abstract
A controller for an autonomous vehicle receives audio signals from one or more microphones. The audio signals are input to a machine learning model that classifies the source of the audio features. For example, features may be classified as originating from a vehicle. A direction to a source of the audio features is determined based on relative delays of the audio features in signals from multiple microphones. Where audio features are classified with an above-threshold confidence as originating from a vehicle, collision avoidance is performed with respect to the direction to the source of the audio features. The direction to the source of the audio features may be correlated with vehicle images and/or map data to increase a confidence score that the source of the audio features is a parked vehicle with its engine running. Collision avoidance may then be performed with potential paths of the parked vehicle.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.