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    • 3. 发明授权
    • Information processing system using neural network learning function
    • 信息处理系统采用神经网络学习功能
    • US5295197A
    • 1994-03-15
    • US774887
    • 1991-10-11
    • Hiroshi TakenagaYoshiyuki OkuyamaMasao TakatooKazuyoshi AsadaNorio TanakaTadaaki KitamuraKuniyuki Kikuchi
    • Hiroshi TakenagaYoshiyuki OkuyamaMasao TakatooKazuyoshi AsadaNorio TanakaTadaaki KitamuraKuniyuki Kikuchi
    • G06K9/66G06K9/00
    • G06K9/66
    • An information processing apparatus using a neural network learning function has, in one embodiment, a computer system and a pattern recognition apparatus associated with each other via a communication cable. The computer system includes a learning section having a first neural network and serves to adjust the weights of connection therein as a result of learning with a learning data signal supplied thereto from the pattern recognition apparatus via the communication cable. The pattern recognition apparatus includes an associative output section having a second neural network and receives data on the adjusted weights from the learning section via the communication cable to reconstruct the second neural network with the data on the adjusted weights. The pattern recognition apparatus with the associative output section having the reconstructed second neural network performs pattern recognition independently of the computer system with the communication cable being brought into an electrical isolation mode.
    • 在一个实施例中,使用神经网络学习功能的信息处理设备通过通信电缆彼此相关联的计算机系统和模式识别设备。 计算机系统包括具有第一神经网络的学习部分,并且用于通过经由通信电缆从模式识别装置向其提供的学习数据信号的学习来调整其中的连接的权重。 模式识别装置包括具有第二神经网络的关联输出部分,并且经由通信电缆接收来自学习部分的经调整的权重的数据,以利用调整后的权重的数据重构第二神经网络。 具有重建的第二神经网络的关联输出部分的模式识别装置在通信电缆进入电隔离模式的情况下,独立于计算机系统执行模式识别。
    • 4. 发明授权
    • Information processing system using neural network learning function
    • 信息处理系统采用神经网络学习功能
    • US5086479A
    • 1992-02-04
    • US544870
    • 1990-06-28
    • Hiroshi TakenagaYoshiyuki OkuyamaMasao TakatooKazuyoshi AsadaNorio TanakaTadaaki KitamuraKuniyuki Kikuchi
    • Hiroshi TakenagaYoshiyuki OkuyamaMasao TakatooKazuyoshi AsadaNorio TanakaTadaaki KitamuraKuniyuki Kikuchi
    • G06K9/66
    • G06K9/66
    • An information processing apparatus using a neural network learning function has, in one embodiment, a computer system and a pattern recognition apparatus associated with each other via a communication cable. The computer system includes a learning section having a first neural network and serves to adjust the weights of connection therein as a result of learning with a learning data signal supplied thereto from the pattern recognition apparatus via the communication cable. The pattern recognition apparatus includes an associative output section having a second neural network and receives data on the adjusted weights from the learning section via the communication cable to reconstruct the second neural network with the data on the adjusted weights. The pattern recognition apparatus with the associative output section having the reconstructed second neural network performs pattern recognition independently of the computer system with the communication cable being brought into an electrical isolation mode.
    • 在一个实施例中,使用神经网络学习功能的信息处理设备通过通信电缆彼此相关联的计算机系统和模式识别设备。 计算机系统包括具有第一神经网络的学习部分,并且用于通过经由通信电缆从模式识别装置向其提供的学习数据信号的学习来调整其中的连接的权重。 模式识别装置包括具有第二神经网络的关联输出部分,并且经由通信电缆接收来自学习部分的经调整的权重的数据,以利用调整后的权重的数据重构第二神经网络。 具有重建的第二神经网络的关联输出部分的模式识别装置在通信电缆进入电隔离模式的情况下,独立于计算机系统执行模式识别。
    • 9. 发明授权
    • Traffic environment recognition method and system for carrying out the same
    • 交通环境识别方法和系统进行相同
    • US07994936B2
    • 2011-08-09
    • US11752494
    • 2007-05-23
    • Hiroshi TakenagaShoji MuramatsuYuji Otsuka
    • Hiroshi TakenagaShoji MuramatsuYuji Otsuka
    • G08G1/095
    • B60W30/16B60W2550/20G01S11/12G01S13/726G01S13/931G01S2013/9321G01S2013/9325G01S2013/9346G01S2013/935G01S2013/9357G08G1/167
    • A traffic environment recognition system includes units for image-processing and information-merging, a radar unit. A network is connected to the image-processing unit. The radar, information-merging, and a vehicle control unit control the traveling operation of the vehicle. The image-processing unit recognizes headway distance, the azimuth, relative speed and width of a preceding vehicle, and the lane position of the host vehicle. The radar unit recognizes headway distance, the azimuth and relative speed of the preceding vehicle. The information-merging unit receives recognition results provided by the image-processing unit. The radar unit through the network, merges and identifies those results. When the recognition results provided by the image-processing unit and the radar unit relate to the same vehicle, output information is produced by the information-merging unit to identify the vehicles as one and the same vehicle and sends the output information through the network to the vehicle control unit.
    • 交通环境识别系统包括用于图像处理和信息合并的单元,雷达单元。 网络连接到图像处理单元。 雷达,信息合并和车辆控制单元控制车辆的行驶操作。 图像处理单元识别前方车辆的前进距离,方位角,相对速度和宽度以及主车辆的车道位置。 雷达单元识别前进车辆的前进距离,方位角和相对速度。 信息合并单元接收由图像处理单元提供的识别结果。 雷达单元通过网络合并并识别出这些结果。 当由图像处理单元和雷达单元提供的识别结果与相同的车辆相关时,信息合并单元产生输出信息,以将车辆识别为同一车辆,并通过网络将输出信息发送到 车辆控制单元。
    • 10. 发明授权
    • Traffic environment recognition method and system for carrying out the same
    • 交通环境识别方法和系统进行相同
    • US07224290B2
    • 2007-05-29
    • US10224605
    • 2002-08-21
    • Hiroshi TakenagaShoji MuramatsuYuji Otsuka
    • Hiroshi TakenagaShoji MuramatsuYuji Otsuka
    • G08G1/095
    • B60W30/16B60W2550/20G01S11/12G01S13/726G01S13/931G01S2013/9321G01S2013/9325G01S2013/9346G01S2013/935G01S2013/9357G08G1/167
    • A traffic environment recognition system includes an image-processing unit, an information-merging unit, a radar unit, and a network connected to the image-processing unit, the radar unit, the information-merging unit and a vehicle control unit capable of controlling the traveling operation of a host vehicle. The image-processing unit recognizes headway distance, the azimuth, relative speed and width of the preceding vehicle, and the position of the host vehicle in a lane. The radar unit recognizes headway distance, the azimuth and relative speed of the preceding vehicle. The information-merging unit receives recognition results provided by the image-processing unit and the radar unit through the network, merges the recognition results, identifies recognition objects relating to the recognition results. When a vehicle relating to the recognition results provided by the image-processing unit and a vehicle relating to the recognition results provided by the radar unit are one and the same vehicle, the information-merging unit produces output information by adding a sensor information indicating that the vehicles are one and the same vehicle to the recognition results, and sends the output information through the network to the vehicle control unit.
    • 交通环境识别系统包括图像处理单元,信息合并单元,雷达单元和连接到图像处理单元的网络,雷达单元,信息合并单元和能够控制的车辆控制单元 主机车辆的行驶操作。 图像处理单元识别前方车辆的前进距离,方位角,相对速度和宽度以及主车辆在车道中的位置。 雷达单元识别前进车辆的前进距离,方位角和相对速度。 信息合并单元通过网络接收由图像处理单元和雷达单元提供的识别结果,合并识别结果,识别与识别结果相关的识别对象。 当与由图像处理单元提供的识别结果相关的车辆和与雷达单元提供的识别结果相关的车辆是同一车辆时,信息合并单元通过添加表示该信息的传感器信息来产生输出信息 车辆是识别结果的同一车辆,并通过网络将输出信息发送到车辆控制单元。