Patent · US Active

Real-time pose estimation system using inertial and feature measurements

US9798929B2 · kind B2 · utility

2Cited by

0References

10Claims

0Family size

Assignee

The Regents of the University of California · US

Inventors

Mingyang Li · Chengdu, CN
Anastasios Mourikis · Minneapolis, US

Key dates

Filing date	Jun 10, 2016
Grant date	Oct 24, 2017
Priority date	—
Expiry date	Jun 10, 2036

Classification

Technology area (CPC G)Physics
CPC primaryG01C21/1656
WIPO fieldMeasurement
WIPO sectorInstruments

Abstract

A hybrid estimator system using visual and inertial sensors for real-time pose tracking on devices with limited processing power using at least one processor, a memory, a storage and communications through a protocol and one or more than one software module for a hybrid estimator, real-time algorithm selection to process different measurements, statistical learning for these characteristics to compute the expected device computing cost of any strategy for allocating measurements to algorithms, and algorithm selection based on the statistical learning module.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.