公开(公告)号：US20240401941A1

公开(公告)日：2024-12-05

申请号：US18325752

申请日：2023-05-30

Applicant: QUALCOMM Incorporated

Inventor： Nisarg Keyurbhai TRIVEDI ,  Diyan TENG ,  Junsheng HAN ,  Victor KULIK ,  Rashmi KULKARNI

IPC: G01B21/00

Abstract: In some aspects, a pose tracking device may receive usability information from a sensor system that includes a plurality of sensors based on current operating conditions associated with the plurality of sensors. The pose tracking device may select a set of sensor modalities associated with the sensor system based on the usability information. The pose tracking device may select a pose tracking model based on the set of sensor modalities selected and one or more key performance indicator (KPI) requirements related to a current context associated with a pose tracking configuration for a client application. The pose tracking device may estimate a pose associated with an object using the pose tracking model based on sensor inputs associated with the one or more sensors selected from the plurality of sensors. Numerous other aspects are described.

公开(公告)号：US20250027773A1

公开(公告)日：2025-01-23

申请号：US18354204

申请日：2023-07-18

Applicant: QUALCOMM Incorporated

Inventor： Nisarg Keyurbhai TRIVEDI ,  Diyan TENG ,  Junsheng HAN ,  Victor KULIK ,  Rashmi KULKARNI

IPC: G01C21/16 ,  G06N20/00

Abstract: Techniques for inertial navigation aided with multi-interval pose measurements are disclosed. The techniques can include obtaining inertial measurement unit (IMU) data from an IMU, generating, based on the IMU data, a respective pose measurement vector according to each of a plurality of machine-learning models, resulting in a plurality of pose measurement vectors, wherein each of the plurality of pose measurement vectors is associated with a respective one of multiple motion classes, and determining a device pose estimate based on the IMU data and the plurality of pose measurement vectors.