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    • 4. 发明申请
    • VEHICLE INFORMATION SYSTEM
    • 车辆信息系统
    • US20120149365A1
    • 2012-06-14
    • US13391738
    • 2010-12-25
    • Yilun YingChao FangYang LuanChao XuDawei ZhuSong Yang
    • Yilun YingChao FangYang LuanChao XuDawei ZhuSong Yang
    • H04W4/04
    • H04L12/66G08G1/096716G08G1/096758G08G1/096775G10L15/30H04L12/403
    • A vehicle information system includes: a vehicle-mounted device, a voice service system and a service center which is adapted for providing service data. A first service channel system is configured between the voice service system and the vehicle-mounted device, and adapted for transmitting voice data. A second service channel is configured between the voice service system and the service center, and adapted for transmitting configuration data which is adapted for configuring the service data that are provided for the vehicle-mounted device. And the second service channel is established on basis of connection to internet. A third service channel system is configured between the service center and the vehicle-mounted device. A complete solution for providing real-time information service may be provided by the vehicle information system, thereby improving the quality of user experience while using a vehicle.
    • 车辆信息系统包括:适用于提供服务数据的车载装置,语音服务系统和服务中心。 第一服务信道系统被配置在语音服务系统和车载装置之间,并适于发送语音数据。 第二服务信道被配置在语音服务系统和服务中心之间,并适于发送适于配置为车载装置提供的服务数据的配置数据。 第二个服务渠道是建立在与互联网连接的基础之上的。 第三个服务通道系统配置在服务中心和车载设备之间。 可以通过车辆信息系统提供用于提供实时信息服务的完整解决方案,从而在使用车辆的同时提高用户体验的质量。
    • 7. 发明申请
    • Methods and systems for wavefront analysis
    • 波前分析的方法和系统
    • US20060126019A1
    • 2006-06-15
    • US11293612
    • 2005-12-02
    • Junzhong LiangDawei Zhu
    • Junzhong LiangDawei Zhu
    • A61B3/00
    • A61B3/1015A61B3/107G01J9/00G01M11/0257
    • A method for analyzing wavefront sensing images as an array of focus spots comprise obtaining a wavefront sensing image of an optical object such as an eye using a Hartmann-Shack wavefront sensor, determining at least one average distance between the neighboring focus spots in the wavefront images. The method for analyzing wavefront sensing images further includes calculating a sphero-cylindrical error, detecting the focus spots of the wavefront image automatically, calculating the wavefront slopes at an array of sampling locations, and reconstructing the wave aberration of the tested optical object from the measured wavefront slopes using a least-squares estimator. The least-squares estimator includes a modal wavefront reconstruction using Zernike polynomials with a Zernike order larger than 10 and less than or equal to the number of sampling points along one axis in the sampled area. The least-squares estimator also includes a mixed modal-zonal least-squares estimation by extracting a set of wavefront modes using a least-squares modal wavefront estimator, calculating the residual wavefront slopes at the sampling position of the wavefront sensor, reconstructing a residual wavefront using a least-squares zonal estimator, and obtaining the wave aberration of the tested optical object by combining the wavefront modes from the modal estimator and the reconstructed residual aberrations from the zonal estimator.
    • 用于将波前感测图像分析为聚焦点阵列的方法包括使用Hartmann-Shack波前传感器获得诸如眼睛的光学对象的波前感测图像,确定波前图像中的相邻聚焦点之间的至少一个平均距离 。 用于分析波前感测图像的方法还包括计算球轴圆柱误差,自动检测波前图像的聚焦点,计算采样位置阵列处的波前斜率,以及从所测量的样本重建被测光学对象的波像差 波前斜率使用最小二乘估计。 最小二乘估计器包括使用泽尼克次数大于10且小于或等于采样区域中一个轴的采样点数的泽尔尼克多项式的模态波前重建。 最小二乘估计器还包括通过使用最小二乘模态波前估计器提取一组波前模式的混合模态最小二乘估计,计算波前传感器的采样位置处的残余波前斜率,重建残余波阵面 使用最小二乘法区域估计器,并通过组合来自模态估计器的波前模式和来自区域估计器的重建的残余像差来获得所测试的光学对象的波像差。