-
公开(公告)号：US20210056499A1
公开(公告)日：2021-02-25
申请号：US17074376
申请日：2020-10-19
Applicant: Cybernet Systems Corp.
Inventor： Charles J. Jacobus , Glenn J. Beach , Steve Rowe , Charles J. Cohen
Abstract: Automated inventory management and material (or container) handling removes the requirement to operate fully automatically or all-manual using conventional task dedicated vertical storage and retrieval (S&R) machines. Inventory requests Automated vehicles plan their own movements to execute missions over a container yard, warehouse aisles or roadways, sharing this space with manually driven trucks. Automated units drive to planned speed limits, manage their loads (stability control), stop, go, and merge at intersections according human driving rules, use on-board sensors to identify static and dynamic obstacles, and human traffic, and either avoid them or stop until potential collision risk is removed. They identify, localize, and either pick-up loads (pallets, container, etc.) or drop them at the correctly demined locations. Systems without full automation can also implement partially automated operations (for instance load pick-up and drop), and can assure inherently safe manually operated vehicles (i.e., trucks that do not allow collisions).
-
公开(公告)号：US20210035057A1
公开(公告)日：2021-02-04
申请号：US17074362
申请日：2020-10-19
Applicant: Cybernet Systems Corp.
Inventor： Charles J. Jacobus , Glenn J. Beach , Steve Rowe , Charles J. Cohen
Abstract: Automated inventory management and material (or container) handling removes the requirement to operate fully automatically or all-manual using conventional task dedicated vertical storage and retrieval (S&R) machines. Inventory requests Automated vehicles plan their own movements to execute missions over a container yard, warehouse aisles or roadways, sharing this space with manually driven trucks. Automated units drive to planned speed limits, manage their loads (stability control), stop, go, and merge at intersections according human driving rules, use on-board sensors to identify static and dynamic obstacles, and human traffic, and either avoid them or stop until potential collision risk is removed. They identify, localize, and either pick-up loads (pallets, container, etc.) or drop them at the correctly demined locations. Systems without full automation can also implement partially automated operations (for instance load pick-up and drop), and can assure inherently safe manually operated vehicles (i.e., trucks that do not allow collisions).
-
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.
-
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.
-
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.
-
Patent Agency Ranking
公开(公告)号：US11257479B2
公开(公告)日：2022-02-22
申请号：US16653625
申请日：2019-10-15
Applicant: Cybernet Systems Corp.
Inventor： Charles J. Cohen
Abstract: A system and method has the ability to take information from a wide variety of sources and package it in a form that a user can accesses in a conversationally intuitive manner. Task or knowledge domain-specific knowledge bases acquired from structured and free-text sources, data extracted describing world state, or natural language and spoken language knowledge are used to “intelligently” respond to an operator's or user's verbal or written request for information. In the example of a maintenance system, a user may submit status-related questions, and the system might then verbalize a list of instructions of what further diagnostic information the maintainer should acquire through tests. As the maintainer verbalizes to the system their findings, the system might narrow down its assessment of likely faults and eventually verbalize to the maintainer specific steps, and potentially images and diagrams describing the necessary corrective maintenance. Additional applications are presented in the disclosure.
-
公开(公告)号：US20210326800A1
公开(公告)日：2021-10-21
申请号：US17074341
申请日：2020-10-19
Applicant: Cybernet Systems Corp.
Inventor： Charles J. Jacobus , Glenn J. Beach , Steve Rowe , Charles J. Cohen
Abstract: Automated inventory management and material (or container) handling removes the requirement to operate fully automatically or all-manual using conventional task dedicated vertical storage and retrieval (S&R) machines. Inventory requests Automated vehicles plan their own movements to execute missions over a container yard, warehouse aisles or roadways, sharing this space with manually driven trucks. Automated units drive to planned speed limits, manage their loads (stability control), stop, go, and merge at intersections according human driving rules, use on-board sensors to identify static and dynamic obstacles, and human traffic, and either avoid them or stop until potential collision risk is removed. They identify, localize, and either pick-up loads (pallets, container, etc.) or drop them at the correctly demined locations. Systems without full automation can also implement partially automated operations (for instance load pick-up and drop), and can assure inherently safe manually operated vehicles (i.e., trucks that do not allow collisions).
-
公开(公告)号：US20210248915A1
公开(公告)日：2021-08-12
申请号：US17105026
申请日：2020-11-25
Applicant: Cybernet Systems Corp.
Inventor： Charles J. Jacobus , Douglas Haanpaa , Eugene Foulk , Pritpaul Mahal , Steve Rowe , Charles J. Cohen , Glenn J. Beach
IPC: G08G9/02 , G05D1/02 , B60W10/20 , B60W10/04 , B60W10/18 , B60W30/09 , G05D1/00 , H04W4/38 , H04W4/44 , H04W4/02 , H04L29/08 , H04W4/46
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.
-
公开(公告)号：US20210110726A1
公开(公告)日：2021-04-15
申请号：US17105049
申请日：2020-11-25
Applicant: Cybernet Systems Corp.
Inventor： Charles J. Jacobus , Douglas Haanpaa , Eugene Foulk , Pritpaul Mahal , Steve Rowe , Charles J. Cohen , Glenn J. Beach
IPC: G08G9/02 , G05D1/02 , B60W10/20 , B60W10/04 , B60W10/18 , B60W30/09 , G05D1/00 , H04W4/38 , H04W4/44 , H04W4/02 , H04L29/08 , H04W4/46
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.
-
公开(公告)号：US20210035056A1
公开(公告)日：2021-02-04
申请号：US17074351
申请日：2020-10-19
Applicant: Cybernet Systems Corp.
Inventor： Charles J. Jacobus , Glenn J. Beach , Steve Rowe , Charles J. Cohen
Abstract: Automated inventory management and material (or container) handling removes the requirement to operate fully automatically or all-manual using conventional task dedicated vertical storage and retrieval (S&R) machines. Inventory requests Automated vehicles plan their own movements to execute missions over a container yard, warehouse aisles or roadways, sharing this space with manually driven trucks. Automated units drive to planned speed limits, manage their loads (stability control), stop, go, and merge at intersections according human driving rules, use on-board sensors to identify static and dynamic obstacles, and human traffic, and either avoid them or stop until potential collision risk is removed. They identify, localize, and either pick-up loads (pallets, container, etc.) or drop them at the correctly demined locations. Systems without full automation can also implement partially automated operations (for instance load pick-up and drop), and can assure inherently safe manually operated vehicles (i.e., trucks that do not allow collisions).
-
-
-
-
-
-
-
-
-
Search Results
27
records
(took 0.02 seconds)
