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公开(公告)号:US20230236083A1
公开(公告)日:2023-07-27
申请号:US17228156
申请日:2021-04-12
Applicant: Cybernet Systems Corp.
Inventor: Kevin Tang , Charles Jacobus , Douglas Haanpaa , Charles Cohen
CPC classification number: G01M5/0091 , G01M5/0075 , G01M5/0033 , G06T7/70 , G06T7/0002 , G06K7/1417 , G06K7/10722 , G06T2200/24 , G06T2207/30204 , G06T2207/30108
Abstract: Continuous, multiple-point surveying or measurement is performed on large areas or objects. The results may be coordinated or combined with 3D localization systems or methods employing GPS, manual theodolites, range finders, laser radars or pseudolites. One disclosed example describes the use of the invention as applied to the problem of routine and repeated inspection of large aircraft, though the system and method are equally applicable to other objects with large surfaces including ships, bridges and large storage structures like tanks, buildings, and roadways.
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公开(公告)号:US12027170B2
公开(公告)日:2024-07-02
申请号:US17197552
申请日:2021-03-10
Applicant: Cybernet Systems Corp.
Inventor: Kevin Tang , Charles Jacobus , Charles Cohen
CPC classification number: G10L15/26 , G06N20/20 , G10L15/063 , G10L15/16
Abstract: A system and method accepts data from direct fault and parameters measurements and historical data in formatted and unformatted form organized by device or system class, specific unit and unit subsystems, and by operation to learn how to predict or correct specified maintenance or other operations. Disclosed examples use known data and learned information historical data to correct or elaborate service requests based on specified and likely (based on learned information) needed maintenance operations. The system and method are applicable to any device requiring prognostic maintenance or other service based on service orders and direct measurement of operating parameters.
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公开(公告)号:US20240379108A1
公开(公告)日:2024-11-14
申请号:US18734250
申请日:2024-06-05
Applicant: Cybernet Systems Corp.
Inventor: Kevin Tang , Charles Jacobus , Charles Cohen
Abstract: A system and method accepts data from direct fault and parameters measurements and historical data in formatted and unformatted form organized by device or system class, specific unit and unit subsystems, and by operation to learn how to predict or correct specified maintenance or other operations. Disclosed examples use known data and learned information historical data to correct or elaborate service requests based on specified and likely (based on learned information) needed maintenance operations. The system and method are applicable to any device requiring prognostic maintenance or other service based on service orders and direct measurement of operating parameters.
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公开(公告)号:US20230219597A1
公开(公告)日:2023-07-13
申请号:US17992635
申请日:2022-11-22
Applicant: Cybernet Systems Corp.
Inventor: Charles J. Cohen , Charles Jacobus , Glenn Beach , George Paul
CPC classification number: B60W60/001 , G06V40/28 , G06V20/56 , B60W2554/40 , B60W2554/20
Abstract: An autonomous vehicle (an AV, or manual vehicle in an autonomous or semi-autonomous mode) includes the ability to sense a command from a source external to the vehicle and modify the behavior of the vehicle in accordance with the command. For example, the vehicle may visualize a police officer or other person associated with traffic control and interpret gestures made by the person causing the vehicle to stop, slow down, pull over, change lanes, back up or take a different route due to unplanned traffic patterns such as accidents, harsh weather, road closings or other situations. The system and method may also be used for non-emergency purposes, including external guidance for load pick-up/placement, hailing a vehicle used as a cab, and so forth. The command may further be spoken or may include a radio frequency (RF) light or other energy component.
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公开(公告)号:US20220293105A1
公开(公告)日:2022-09-15
申请号:US17197552
申请日:2021-03-10
Applicant: Cybernet Systems Corp.
Inventor: Kevin Tang , Charles Jacobus , Charles Cohen
Abstract: A system and method accepts data from direct fault and parameters measurements and historical data in formatted and unformatted form organized by device or system class, specific unit and unit subsystems, and by operation to learn how to predict or correct specified maintenance or other operations. Disclosed examples use known data and learned information historical data to correct or elaborate service requests based on specified and likely (based on learned information) needed maintenance operations. The system and method are applicable to any device requiring prognostic maintenance or other service based on service orders and direct measurement of operating parameters.
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