Systems and methods for corridor intent prediction
US11783178B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 30, 2020 |
| Grant date | Oct 10, 2023 |
| Priority date | — |
| Expiry date | Oct 27, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N7/01
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method includes generating a training data set comprising a plurality of training examples, wherein each training example is generated by receiving map data associated with a road portion, receiving sensor data associated with a road agent located on the road portion, defining one or more corridors associated with the road portion based on the map data and the sensor data, extracting a plurality of agent features associated with the road agent based on the sensor data, extracting a plurality of corridor features associated with each of the one or more corridors based on the sensor data, and for each corridor, labeling the training example based on the position of the road agent with respect to the corridor, and training a neural network using the training data set.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.