会员体验
专利管家(专利管理)
工作空间(专利管理)
风险监控(情报监控)
数据分析(专利分析)
侵权分析(诉讼无效)
联系我们
交流群
官方交流:
QQ群: 891211   
微信请扫码    >>>
现在联系顾问~
热词
    • 1. 发明授权
    • Sensor-fusion navigator for automated guidance of off-road vehicles
    • 传感器融合导航仪,用于越野车辆的自动化引导
    • US06445983B1
    • 2002-09-03
    • US09611510
    • 2000-07-07
    • Monte A. DicksonNoboru NoguchiQin ZhangJohn F. ReidJeffrey D. Will
    • Monte A. DicksonNoboru NoguchiQin ZhangJohn F. ReidJeffrey D. Will
    • G05D100
    • G01C21/165A01B69/008G05D1/0246G05D1/027G05D1/0274G05D1/0278G05D2201/0201
    • An automatically guided agricultural vehicle with multiple sensors is disclosed. The automatically guided agricultural vehicle includes guidance parameter identification using multi-sensor data fusion for real-time vehicle guidance. To insure robust navigation, a map-based guidance and sensor-based guidance are disclosed and integrated because no individual sensing technology is ideally suited for vehicle automation under all modes of use. The appropriate sensor and operational mode will depend on the field status of time or operation. A fiber optic gyroscope (FOG) and a real-time kinematic GPS (RTK-GPS) and machine vision are added to the guidance system in order to improve reliability of the system for vehicle guidance. The navigator includes key functions of selecting control mode, correcting position by vehicle roll/pitch inclinations, Kalman filtering, and calculating a steering angle.
    • 公开了一种具有多个传感器的自动导向农用车辆。 自动引导的农用车辆包括使用多传感器数据融合进行实时车辆引导的引导参数识别。 为了确保强大的导航,基于地图的指导和基于传感器的指导被公开和集成,因为没有任何个别的感测技术在所有使用模式下都非常适用于车辆自动化。 适当的传感器和操作模式将取决于时间或操作的现场状态。 为了提高车辆引导系统的可靠性,在引导系统中增加了光纤陀螺仪(FOG)和实时运动学GPS(RTK-GPS)和机器视觉。 导航仪包括选择控制模式,通过车辆滚动/俯仰倾斜校正位置,卡尔曼滤波和计算转向角度的关键功能。
    • 5. 发明授权
    • Fuzzy steering controller
    • 模糊转向控制器
    • US06442463B1
    • 2002-08-27
    • US09781019
    • 2001-02-09
    • Hongchu QiuQin ZhangJohn F. Reid
    • Hongchu QiuQin ZhangJohn F. Reid
    • G06F1900
    • B62D1/28B62D6/00G05B13/0275Y10S706/905
    • A fuzzy steering controller for wheel-type agricultural vehicles with an electrohydraulic steering system is disclosed. The fuzzy controller was developed based on a common-sense model of agricultural vehicle steering. The controller implements steering corrections based upon the desired steering rate and the error between the desired and the actual wheel angles. The controller consists of a variable fuzzifier, an inference engine with a steering control rulebase, and a control signal defuzzifier. The controller could be used on different platforms. Tuning of the fuzzy membership functions will accommodate for physical differences between the platforms. The controller achieves prompt and accurate steering control performance on both a hardware-in-the-loop electrohydraulic steering simulator and on an agricultural tractor.
    • 公开了一种具有电动液压转向系统的轮式农用车辆的模糊转向控制器。 模糊控制器是基于农用车辆转向的常识模型而开发的。 控制器基于期望的转向速率和期望的和实际的车轮角度之间的误差来实现转向校正。 控制器由可变模糊器,具有转向控制规则库的推理机和控制信号去模糊器组成。 控制器可以在不同的平台上使用。 调整模糊隶属函数将适应平台之间的物理差异。 控制器在硬件在环电动液压转向模拟器和农用拖拉机上实现快速准确的转向控制性能。
    • 6. 发明授权
    • Method and apparatus for processing an image of an agricultural field
    • 用于处理农田图像的方法和装置
    • US06721453B1
    • 2004-04-13
    • US09612688
    • 2000-07-10
    • Eric R. BensonQin ZhangJohn F. Reid
    • Eric R. BensonQin ZhangJohn F. Reid
    • G06K948
    • G05D1/0246G05D1/0221G05D2201/0201G06T7/13G06T7/143G06T2207/30188G06T2207/30256
    • A method and apparatus for detecting an edge between a cut crop and an uncut crop in a field is disclosed. At least two scanlines of pixel data are processed based on an image of the field. A characteristic line corresponding to the cut/uncut edge is best fit between center location points of segments from each scanline using sequential regression analysis. A fuzzy logic algorithm is used to determine whether to continue processing each successive scanline of data based on the quality of the characteristic line. If certain fuzzy membership functions determine that the slope and intercept values have sufficiently converged, processing of the scanlines is completed and the agricultural vehicle is automatically guided along the cut/uncut edge corresponding to the characteristic line.
    • 公开了一种在场中检测切割作物和未切割作物之间的边缘的方法和装置。 基于场的图像来处理像素数据的至少两个扫描线。 使用顺序回归分析,对应于切割/未切割边缘的特征线最适合来自每条扫描线的段的中心位置点。 基于特征线的质量,使用模糊逻辑算法来确定是否继续处理每个连续的数据扫描线。 如果某些模糊隶属函数确定斜率和截距值已经充分收敛,则完成扫描线的处理,并且沿着与特征线相对应的切割/未切割边缘自动地引导农用车辆。