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14 条记录 (耗时 0.059 秒)

    Cycle counter for wheeled tractor scraper
    1.
    发明授权
    Cycle counter for wheeled tractor scraper 有权
    轮式拖拉机刮刀循环计数器

    公开(公告)号：US08635792B2

    公开(公告)日：2014-01-28

    申请号：US12967937

    申请日：2010-12-14

    申请人： Ramona D. Cone ,  Keith R. Kosowski ,  Eric N. Polston ,  Ryan A. Kingdon ,  Donna K. Laube ,  Ashok Krishnan ,  Steven R. Krause ,  Brian A. Byers

    发明人： Ramona D. Cone ,  Keith R. Kosowski ,  Eric N. Polston ,  Ryan A. Kingdon ,  Donna K. Laube ,  Ashok Krishnan ,  Steven R. Krause ,  Brian A. Byers

    IPC分类号： E02F3/04

    CPC分类号： E02F3/6481 ,  E02F3/651 ,  E02F9/26

    摘要： A cycle counter for a wheeled tractor scraper is disclosed. The cycle counter may have an ejector configured to push material from a bowl of the wheeled tractor scraper, a sensor configured to generate a pressure signal indicative of a position of the ejector, and a controller in communication with the sensor. The controller may be configured to determine movement of the ejector toward a full dump position based on the pressure signal, and to record completion of a cycle for the wheeled tractor scraper after the ejector has reached the full dump position only if a value of the pressure signal exceeded a threshold value during movement of the ejector toward the full dump position.

    摘要翻译： 公开了一种用于轮式拖拉机刮刀的循环计数器。 循环计数器可以具有喷射器，其被配置为从轮式拖拉机刮板的碗推动材料，传感器被配置为产生指示喷射器的位置的压力信号，以及与传感器通信的控制器。 控制器可以被配置为基于压力信号确定喷射器朝向完全倾倒位置的移动，并且在喷射器已经达到完全卸载位置之后记录轮式拖拉机刮刀的循环的完成，只有当压力值 在喷射器朝向完全倾倒位置移动期间，信号超过阈值。

    CYCLE COUNTER FOR WHEELED TRACTOR SCRAPER
    2.
    发明申请
    CYCLE COUNTER FOR WHEELED TRACTOR SCRAPER 有权
    用于轮式拖拉机刮刀的循环计数器

    公开(公告)号：US20120144704A1

    公开(公告)日：2012-06-14

    申请号：US12967937

    申请日：2010-12-14

    申请人： Ramona D. CONE ,  Keith R. Kosowski ,  Eric N. Polston ,  Ryan A. Kingdon ,  Donna K. Laube ,  Ashok Krishnan ,  Steven R. Krause ,  Brian A. Byers

    发明人： Ramona D. CONE ,  Keith R. Kosowski ,  Eric N. Polston ,  Ryan A. Kingdon ,  Donna K. Laube ,  Ashok Krishnan ,  Steven R. Krause ,  Brian A. Byers

    IPC分类号： E02F3/65 ,  G01L19/08 ,  E02F9/26

    CPC分类号： E02F3/6481 ,  E02F3/651 ,  E02F9/26

    摘要： A cycle counter for a wheeled tractor scraper is disclosed. The cycle counter may have an ejector configured to push material from a bowl of the wheeled tractor scraper, a sensor configured to generate a pressure signal indicative of a position of the ejector, and a controller in communication with the sensor. The controller may be configured to determine movement of the ejector toward a full dump position based on the pressure signal, and to record completion of a cycle for the wheeled tractor scraper after the ejector has reached the full dump position only if a value of the pressure signal exceeded a threshold value during movement of the ejector toward the full dump position.

    摘要翻译： 公开了一种用于轮式拖拉机刮刀的循环计数器。 循环计数器可以具有喷射器，其被配置为从轮式拖拉机刮板的碗推动材料，传感器被配置为产生指示喷射器的位置的压力信号，以及与传感器通信的控制器。 控制器可以被配置为基于压力信号确定喷射器朝向完全倾倒位置的移动，并且在喷射器已经达到完全卸载位置之后记录轮式拖拉机刮刀的循环的完成，只有当压力值 在喷射器朝向完全倾倒位置移动期间，信号超过阈值。

    Training of vehicles to improve autonomous capabilities
    5.
    发明授权
    Training of vehicles to improve autonomous capabilities 有权

    公开(公告)号：US10528836B1

    公开(公告)日：2020-01-07

    申请号：US16578345

    申请日：2019-09-22

    申请人： Ashok Krishnan

    发明人： Ashok Krishnan

    IPC分类号： G06K9/00 ,  G06N20/00 ,  A61B5/22 ,  A61B3/113 ,  G06K9/62 ,  A61B5/00 ,  G05D1/00

    摘要： Systems and methods to improve performance, reliability and learning to enhance autonomy of vehicles. Sensors capture human eye movements, hearing, hand grip and contact area on steering wheel, the positions of accelerator and brake pedals from the wall behind them as well as from the foot. Outside event signatures corresponding to human reactions and actions are then extracted form these sensors and correlated to events, status and situations acquired using vehicle and outside environment sensors. These outside event signatures are then used to train vehicles to improve their autonomous capabilities.

    Training of vehicles to improve autonomous capabilities
    6.
    发明授权
    Training of vehicles to improve autonomous capabilities 有权

    公开(公告)号：US10474916B2

    公开(公告)日：2019-11-12

    申请号：US16194404

    申请日：2018-11-19

    申请人： Ashok Krishnan

    发明人： Ashok Krishnan

    IPC分类号： G06K9/00 ,  G06N20/00 ,  A61B5/22 ,  A61B5/00 ,  A61B3/113 ,  G06K9/62 ,  G05D1/00

    摘要： Systems and methods to improve performance, reliability, learning and safety and thereby enhance autonomy of vehicles. Human sensors are used to capture human eye movement, hearing, hand grip and contact area, and foot positions. Event signatures corresponding to human actions, reactions and responses are extracted form these sensor values and correlated to events, status and situations acquired using vehicle and outside environment sensors. These event signatures are then used to train vehicles to improve their autonomous capabilities. Human sensors are vehicle mounted or frame mounted. Signatures obtained from events are classified and stored.

    Training of vehicles to improve autonomous capabilities
    8.
    发明申请
    Training of vehicles to improve autonomous capabilities 审中-公开

    公开(公告)号：US20190156134A1

    公开(公告)日：2019-05-23

    申请号：US16194410

    申请日：2018-11-19

    申请人： Ashok Krishnan

    发明人： Ashok Krishnan

    IPC分类号： G06K9/00 ,  G06N20/00 ,  A61B3/113 ,  A61B5/22 ,  A61B5/00

    摘要： Systems and methods to improve performance, reliability, learning and safety and thereby enhance autonomy of vehicles. Human sensors are used to capture human eye movement, hearing, hand grip and contact area, and foot positions. Event signatures corresponding to human actions, reactions and responses are extracted form these sensor values and correlated to events, status and situations acquired using vehicle and outside environment sensors. These event signatures are then used to train vehicles to improve their autonomous capabilities. Human sensors are vehicle mounted or frame mounted. Signatures obtained from events are classified and stored.

    Training of vehicles to improve autonomous capabilities
    9.
    发明授权
    Training of vehicles to improve autonomous capabilities 有权

    公开(公告)号：US10769463B2

    公开(公告)日：2020-09-08

    申请号：US16679363

    申请日：2019-11-11

    申请人： Ashok Krishnan

    发明人： Ashok Krishnan

    IPC分类号： G06K9/00 ,  G06N20/00 ,  A61B5/22 ,  A61B5/00 ,  A61B3/113 ,  G06K9/62 ,  G05D1/00

    摘要： Systems and methods of training vehicles to improve performance, reliability and autonomy of vehicles. Sensors capture a vehicle driver's eye movements, hand grip and contact area on steering wheel, distance of the accelerator and brake pedals from the foot, depression of these pedals by the foot, and ambient sounds. Data from these sensors is used as training data to improve autonomy of vehicles. Detection of events occurring outside a vehicle is made by comparing human sensor data with an associated road map to determine correlation. Signatures corresponding to human reactions and actions are extracted, which also incorporate data acquired using vehicle and outside environment sensors. By scoring driver responses to events outside the vehicle as well as during non-events, expert drivers are identified, whose responses are used as a part of vehicle training data.

    Training of Vehicles to Improve Autonomous Capabilities
    10.
    发明申请
    Training of Vehicles to Improve Autonomous Capabilities 审中-公开

    公开(公告)号：US20200082191A1

    公开(公告)日：2020-03-12

    申请号：US16679363

    申请日：2019-11-11

    申请人： Ashok Krishnan

    发明人： Ashok Krishnan

    IPC分类号： G06K9/00 ,  G06N20/00 ,  A61B3/113 ,  A61B5/00 ,  A61B5/22 ,  G06K9/62

    摘要： Systems and methods of training vehicles to improve performance, reliability and autonomy of vehicles. Sensors capture a vehicle driver's eye movements, hand grip and contact area on steering wheel, distance of the accelerator and brake pedals from the foot, depression of these pedals by the foot, and ambient sounds. Data from these sensors is used as training data to improve autonomy of vehicles. Detection of events occurring outside a vehicle is made by comparing human sensor data with an associated road map to determine correlation. Signatures corresponding to human reactions and actions are extracted, which also incorporate data acquired using vehicle and outside environment sensors. By scoring driver responses to events outside the vehicle as well as during non-events, expert drivers are identified, whose responses are used as a part of vehicle training data.