Invention Grant
- Patent Title: Feature extraction from perception data for pilot assistance with high workload tasks
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Application No.: US17318815Application Date: 2021-05-12
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Publication No.: US11928505B2Publication Date: 2024-03-12
- Inventor: Navid Dadkhah Tehrani , Daniel Montrallo Flickinger , Igor Cherepinsky
- Applicant: LOCKHEED MARTIN CORPORATION
- Applicant Address: US MD Bethesda
- Assignee: LOCKHEED MARTIN CORPORATION
- Current Assignee: LOCKHEED MARTIN CORPORATION
- Current Assignee Address: US MD Bethesda
- Agency: Foley & Lardner LLP
- Main IPC: G06F9/50
- IPC: G06F9/50 ; B64D43/00 ; B64D45/04 ; G06F3/14 ; G06F9/48 ; G06F18/2113 ; G06F18/24 ; G06T11/00 ; G06V10/40 ; G06V20/13

Abstract:
Offline task-based feature processing for aerial vehicles is provided. A system can extract features from a world model generated using sensor information captured by sensors mounted on an aerial vehicle. The system generates a label for each of the features and identifies identify processing levels based on the features. The system selects a processing level for each feature of a subset of features based on a task performed by the aerial vehicle and the label associated with the feature. The system generates one or more processed features by applying the processing level to a respective feature of the subset of the plurality of features. The system presents the one or more processed features on a display device of the aerial vehicle.
Public/Granted literature
- US20220365816A1 FEATURE EXTRACTION FROM PERCEPTION DATA FOR PILOT ASSISTANCE WITH HIGH WORKLOAD TASKS Public/Granted day:2022-11-17
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