Patent ID: 11900256
Assignee: INTEL CORPORATION
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 12:
13. A method comprising:
providing the first sensor data as an input to a first portion of a machine learning model, wherein:
the first portion of the machine learning model comprises long short-term memory (LSTM) layers that receive a matrix generated based on the first sensor data, and the LSTM layers process data elements of the matrix in different directions, and
the first sensor data captures a device and is of a first type;

providing the second sensor data as an input to a second portion of the machine learning model, wherein:
the second sensor data captures the device and is of a second type that is different from the first type,
the machine learning model comprises a concatenator and a set of fully-connected layers,
the concatenator receives an output of the LSTM layers as a first input and receives an output of the second portion of the machine learning model as a second input, and
an output of the concatenator is provided to the set of fully-connected layers; and

generating, from the first sensor data and second sensor data, an output of the machine learning model comprising a pose of the device within an environment.