System and method for determining vehicle data set familiarity
US11087144B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 10, 2018 |
| Grant date | Aug 10, 2021 |
| Priority date | — |
| Expiry date | Mar 28, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T7/70
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The present disclosure relates to systems, devices and methods for identifying objects and scenarios that have not been trained or are unidentifiable to vehicle perception sensors or vehicle assistive driving systems. Embodiments are directed to using a trained vehicle data set to identify target objects in vehicle sensor data. In one embodiment, a process is provided that includes running a scene detection operation on vehicle to derive a vector of target object attributes of the vehicle sensor data and generating a vector representation for the scene detection operation and the attributes of the vehicle sensor data. The vector representation compared to a familiarity vector to represent effectiveness of the scene detection operation. In addition, the vector representation can be scored to identify one or more target objects or significant scenarios, including unidentifiable objects and/or driving scenes, scenarios for reporting.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.