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    • 85. 发明专利
    • Object motion detection system based on combining 3d warping technique and proper object motion (pom) detection
    • 基于组合3D加热技术和适当的对象运动(POM)检测的对象运动检测系统
    • JP2010282615A
    • 2010-12-16
    • JP2010112052
    • 2010-05-14
    • Honda Research Inst Europe Gmbhホンダ リサーチ インスティテュート ヨーロッパ ゲーエムベーハーHonda Research Institute Europe GmbH
    • MICHALKE THOMASKASTNER ROBERT
    • G06T7/20G08G1/16
    • G06T7/269G06T7/254G06T2207/10021G06T2207/20048G06T2207/30261
    • PROBLEM TO BE SOLVED: To provide a method for detecting dynamic objects in a scene in a driver assistance system of a vehicle. SOLUTION: The method comprises the steps of: feeding signals from sensors (internal sensors, 3D sensors, cameras) of the vehicle to the driver assistance system; generation of a surrounding model using 3D world positions based on the sensor signals and; combination of 3D Warping-based approaches and optical flow based approaches. Novel key points are: (a) Restriction of the search space of an optical flow method based on the computation results of the 3D warping method, (b) Additionally, to (a) also an optimal parameterization of the optical flow approach in terms of search direction, amplitude, etc., (c) Refinement and verification of the detection results of one of the methods based on the computation results of the other method (if both approaches are running in parallel). Furthermore, the detected dynamic objects and their measured motion parameters are stored for their use in, e.g. a collision avoidance or path planning system. COPYRIGHT: (C)2011,JPO&INPIT
    • 要解决的问题:提供一种用于检测车辆的驾驶员辅助系统中的场景中的动态对象的方法。 解决方案:该方法包括以下步骤:将来自车辆的传感器(内部传感器,3D传感器,照相机)的信号馈送到驾驶员辅助系统; 使用基于传感器信号的3D世界位置生成周围模型; 基于3D翘曲的方法和基于光流的方法的组合。 新的关键点是:(a)基于3D翘曲方法的计算结果限制光流方法的搜索空间,(b)另外,(a)还有一种最佳参数化的光流方法 搜索方向,幅度等,(c)基于其他方法的计算结果(如果两种方法并行运行),对方法之一的检测结果进行细化和验证。 此外,检测到的动态对象及其测量的运动参数被存储以用于例如。 防撞或路径规划系统。 版权所有(C)2011,JPO&INPIT
    • 88. 发明专利
    • Learning and use of schemata in robotic device
    • 在机器人设备中学习和使用SCHEMATA
    • JP2010179454A
    • 2010-08-19
    • JP2009287375
    • 2009-12-18
    • Honda Research Inst Europe Gmbhホンダ リサーチ インスティテュート ヨーロッパ ゲーエムベーハーHonda Research Institute Europe GmbH
    • GLAESER CLAUDIUSJOUBLIN FRANK
    • B25J13/00G05D1/02G06N3/00G06N3/04
    • B25J9/161G05B2219/33025G05B2219/33051G05B2219/39285G05B2219/39376
    • PROBLEM TO BE SOLVED: To provide a method for controlling an autonomous mobile robot with excellent behavior when interacting with environment.
      SOLUTION: The method uses schemata being a group of sequences of motion commands expressed by parameters to make a robot achieve a set goal. The parameters for the sequences are gained from the state variables of a robotic controller. The robotic controller includes: an interface for supplying a sensory input to the robotic controller; a schema state memory supplied with either the input from a schema recognition module, the input from an inverse model module or a combination of them; an inverse model for generating a motion command based on the state variables and stored schemata; a forward model for predicting the state variables based on the state variables and stored schemata; and the schema recognition module for selecting a schema based on the supplied state variables of the robot controlled by the robotic controller.
      COPYRIGHT: (C)2010,JPO&INPIT
    • 要解决的问题:提供一种用于在与环境相互作用时具有优异行为的自动移动机器人的控制方法。

      解决方案:该方法使用由参数表达的运动命令序列组成的模式,以使机器人达到设定目标。 序列的参数从机器人控制器的状态变量获得。 机器人控制器包括:用于向机器人控制器提供感觉输入的接口; 模式状态存储器,其提供有来自模式识别模块的输入,来自逆模型模块的输入或它们的组合; 基于状态变量和存储模式生成运动指令的逆模型; 一种基于状态变量和存储模式预测状态变量的前向模型; 以及所述模式识别模块,用于基于由所述机器人控制器控制的所述机器人提供的状态变量来选择模式。 版权所有(C)2010,JPO&INPIT