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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:US20210208587A1
公开(公告)日:2021-07-08
申请号:US17120673
申请日:2020-12-14
Applicant: Cybernet Systems Corp.
Inventor: Charles J. Jacobus , Douglas Haanpaa , Charles J. Cohen
Abstract: Autonomously driven vehicles operate in rain, snow and other adverse weather conditions. An on-board vehicle sensor has a beam with a diameter that is only intermittently blocked by rain, snow, dustor other obscurant particles. This allows an obstacle detection processor is to tell the difference between obstacles, terrain variations and obscurant particles, thereby enabling the vehicle driving control unit to disregard the presence of obscurant particles along the route taken by the vehicle. The sensor may form part of a LADAR or RADAR system or a video camera. The obstacle detection processor may receive time-spaced frames divided into cells or pixels, whereby groups of connected cells or pixels and/or cells or pixels that persist over longer periods of time are interpreted to be obstacles or terrain variations. The system may further including an input for receiving weather-specific configuration parameters to adjust the operation of the obstacle detection processor.
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公开(公告)号:US10909866B2
公开(公告)日:2021-02-02
申请号:US16180739
申请日:2018-11-05
Applicant: Cybernet Systems Corp.
Inventor: Charles J. Jacobus , Douglas Haanpaa , Eugene Foulk , Pritpaul Mahal , Steve Rowe , Charles J. Cohen , Glenn J. Beach
IPC: G05D1/00 , G01C22/00 , G08G9/02 , G05D1/02 , B60W10/20 , B60W10/04 , B60W10/18 , B60W30/09 , H04W4/38 , H04W4/44 , H04W4/02 , H04L29/08 , H04W4/46 , H04W4/40
Abstract: Autonomous and manually operated vehicles are integrated into a cohesive, interactive environment, with communications to each other and to their surroundings, to improve traffic flow while reducing accidents and other incidents. All vehicles send/receive messages to/from each other, and from infrastructure devices, enabling the vehicles to determine their status, traffic conditions and infrastructure. The vehicles store and operate in accordance with a common set of rules based upon the messages received and other inputs from sensors, databases, and so forth, to avoid obstacles and collisions based upon current and, in some cases, future or predicted behavior. Shared vehicle control interfaces enable the AVs to conform to driving activities that are legal, safe, and allowable on roadways. Such activities enable each AV to drive within safety margins, speed limits, on allowed or legal driving lanes and through allowed turns, intersections, mergers, lane changes, stops/starts, and so forth.
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24.
公开(公告)号:US10726544B2
公开(公告)日:2020-07-28
申请号:US16353822
申请日:2019-03-14
Applicant: Cybernet Systems Corp.
Inventor: Glenn J. Beach , Gary Moody , James Burkowski , Charles J. Jacobus
Abstract: A machine vision system for automatically identifying and inspecting objects is disclosed, including composable vision-based recognition modules and a decision algorithm to perform the final determination on object type and quality. This vision system has been used to develop a Projectile Identification System and an Automated Tactical Ammunition Classification System. The technology can be used to create numerous other inspection and automated identification systems.
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公开(公告)号:US10459453B2
公开(公告)日:2019-10-29
申请号:US15806844
申请日:2017-11-08
Applicant: Cybernet Systems Corp.
Inventor: Glenn Beach , Douglas Haanpaa , Charles J. Jacobus , Steven Rowe
Abstract: Autonomous vehicles are capable of executing missions that abide by on-street rules or regulations, while also being able to seamlessly transition to and from “zones,” including off-street zones, with their our set(s) of rules or regulations. An on-board memory stores roadgraph information. An on-board computer is operative to execute commanded driving missions using the roadgraph information, including missions with one or more zones, each zone being defined by a sub-roadgraph with its own set of zone-specific driving rules and parameters. A mission may be coordinated with one or more payload operations, including zone with “free drive paths” as in a warehouse facility with loading and unloading zones to pick up payloads and place them down, or zone staging or entry points to one or more points of payload acquisition or placement. The vehicle may be a warehousing vehicle such as a forklift.
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26.
公开(公告)号:US20190213728A1
公开(公告)日:2019-07-11
申请号:US16353822
申请日:2019-03-14
Applicant: Cybernet Systems Corp.
Inventor: Glenn J. Beach , Gary Moody , James Burkowski , Charles J. Jacobus
Abstract: A machine vision system for automatically identifying and inspecting objects is disclosed, including composable vision-based recognition modules and a decision algorithm to perform the final determination on object type and quality. This vision system has been used to develop a Projectile Identification System and an Automated Tactical Ammunition Classification System. The technology can be used to create numerous other inspection and automated identification systems.
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公开(公告)号:US12298149B2
公开(公告)日:2025-05-13
申请号:US18418752
申请日:2024-01-22
Applicant: Cybernet Systems Corp.
Inventor: Charles J. Jacobus , Glenn J. Beach , Douglas Haanpaa , Charles J. Cohen
IPC: G01C21/00 , G01C21/16 , G01S19/48 , G05D1/00 , G05D1/246 , G01S19/13 , G01S19/41 , G05D1/248 , G05D1/249
Abstract: An in-vehicle system for generating precise, lane-level road map data includes a GPS receiver operative to acquire positional information associated with a track along a road path. An inertial sensor provides time local measurement of acceleration and turn rate along the track, and a camera acquires image data of the road path along the track. A processor is operative to receive the local measurement from the inertial sensor and image data from the camera over time in conjunction with multiple tracks along the road path, and improve the accuracy of the GPS receiver through curve fitting. One or all of the GPS receiver, inertial sensor and camera are disposed in a smartphone. The road map data may be uploaded to a central data repository for post processing when the vehicle passes through a WiFi cloud to generate the precise road map data, which may include data collected from multiple drivers.
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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:US20240159559A1
公开(公告)日:2024-05-16
申请号:US18418752
申请日:2024-01-22
Applicant: Cybernet Systems Corp.
Inventor: Charles J. Jacobus , Glenn J. Beach , Douglas Haanpaa , Charles J. Cohen
CPC classification number: G01C21/3848 , G01C21/1656 , G01C21/3815 , G01C21/3841 , G01S19/485 , G01S19/13
Abstract: An in-vehicle system for generating precise, lane-level road map data includes a GPS receiver operative to acquire positional information associated with a track along a road path. An inertial sensor provides time local measurement of acceleration and turn rate along the track, and a camera acquires image data of the road path along the track. A processor is operative to receive the local measurement from the inertial sensor and image data from the camera over time in conjunction with multiple tracks along the road path, and improve the accuracy of the GPS receiver through curve fitting. One or all of the GPS receiver, inertial sensor and camera are disposed in a smartphone. The road map data may be uploaded to a central data repository for post processing when the vehicle passes through a WiFi cloud to generate the precise road map data, which may include data collected from multiple drivers.
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公开(公告)号:US11703879B2
公开(公告)日:2023-07-18
申请号:US17120673
申请日:2020-12-14
Applicant: Cybernet Systems Corp.
Inventor: Charles J. Jacobus , Douglas Haanpaa , Charles J. Cohen
IPC: G05D1/02 , G01S17/89 , G01S7/48 , G01S7/487 , G01S7/497 , G01S17/931 , G01S13/89 , G01S13/931
CPC classification number: G05D1/024 , G01S7/487 , G01S7/4808 , G01S7/497 , G01S17/89 , G01S17/931 , G01S13/89 , G01S13/931 , G05D1/0246
Abstract: Autonomously driven vehicles operate in rain, snow and other adverse weather conditions. An on-board vehicle sensor has a beam with a diameter that is only intermittently blocked by rain, snow, dust or other obscurant particles. This allows an obstacle detection processor is to tell the difference between obstacles, terrain variations and obscurant particles, thereby enabling the vehicle driving control unit to disregard the presence of obscurant particles along the route taken by the vehicle. The sensor may form part of a LADAR or RADAR system or a video camera. The obstacle detection processor may receive time-spaced frames divided into cells or pixels, whereby groups of connected cells or pixels and/or cells or pixels that persist over longer periods of time are interpreted to be obstacles or terrain variations. The system may further including an input for receiving weather-specific configuration parameters to adjust the operation of the obstacle detection processor.
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