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

Claim 13:
14. A system comprising:
a processor;
a memory;
a set of sensors; and
a machine learning engine, executable by the processor to:
access first sensor data generated by the set of sensors, wherein the first sensor data captures a device and is of a first type;

provide 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;
access second sensor data generated by the set of sensors, wherein the second sensor data captures the device and is of a second type that is different from the first type;
provide the second sensor data as an input to a second portion of the machine learning model, wherein 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
generate, from the first sensor data and second sensor data, an output of the machine learning model comprising a relative pose of the device within an environment.