Systems and methods for utilizing interacting Gaussian mixture models for crowd navigation
US11787053B2 · kind B2 · utility
Assignee
Inventor
Key dates
| Filing date | Oct 7, 2020 |
| Grant date | Oct 17, 2023 |
| Priority date | — |
| Expiry date | Aug 10, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V40/103
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems and methods for utilizing interactive Gaussian processes for crowd navigation are provided. In one embodiment, a system for a crowd navigation of a host is provided. The system includes a processor, a statistical module, and a model module. The processor receives sensor data. The statistical module identifies a number of agents in a physical environment based on the sensor data. The statistical module further calculates a set of Gaussian processes. The set of Gaussian processes includes a Gaussian Process for each agent of the number of agents. The statistical module further determines an objective function based on an intent and a flexibility. The model module generates a model of the number of agents by applying the objective function to the set of Gaussian processes. The model includes a convex configuration of the number of agents in the physical environment.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.