Invention Grant
- Patent Title: Sensor fusion and deep learning
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Application No.: US15275199Application Date: 2016-09-23
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Publication No.: US10762440B1Publication Date: 2020-09-01
- Inventor: Kshitiz Garg , Ahmad Al-Dahle
- Applicant: Apple Inc.
- Applicant Address: US CA Cupertino
- Assignee: Apple Inc.
- Current Assignee: Apple Inc.
- Current Assignee Address: US CA Cupertino
- Agency: Kowert, Hood, Munyon, Rankin & Goetzel, P.C.
- Agent Robert C. Kowert
- Main IPC: G06N20/00
- IPC: G06N20/00 ; G06F11/34 ; G06F11/30

Abstract:
Some embodiments provide a sensor data-processing system which detects and classifies objects detected in an environment via fusion of sensor data representations generated by multiple separate sensors. The sensor data-processing system can fuse sensor data representations generated by multiple sensor devices into a fused sensor data representation and can further detect and classify features in the fused sensor data representation. Feature detection can be implemented based at least in part upon utilizing a feature-detection model generated via one or more of deep learning and traditional machine learning. The sensor data-processing system can adjust sensor data processing of representations generated by sensor devices based on external factors including indications of sensor health and environmental conditions. The sensor data-processing system can be implemented in a vehicle and provide output data associated with the detected objects to a navigation system which navigates the vehicle according to the output data.
Information query