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
    • 95. 发明申请
    • Outer loop power control using multiple channels
    • 使用多个通道进行外环功率控制
    • US20050164646A1
    • 2005-07-28
    • US11020706
    • 2004-12-23
    • Wanshi ChenAlpaslan SavasShiau-He TsaiTao Wu
    • Wanshi ChenAlpaslan SavasShiau-He TsaiTao Wu
    • H04B7/005H04Q7/20
    • H04W52/125H04W52/146H04W52/16H04W52/20H04W52/32H04W52/362
    • Outer loop power control (OLPC) for the reverse link considers frame information associated with at least two reverse link traffic channels, the transmit power of which is referenced to the transmit power of a reverse link pilot channel R-PICH. A traffic OLPC setpoint is determined based on information such as target frame error rate (FER) and actual frame errors associated with each traffic channel, and the traffic OLPC setpoint is converted to a R-PICH OLPC setpoint. The traffic OLPC setpoint may be calculated from weighted frame information generated by combining the received frame information. Alternatively, a traffic channel OLPC setpoint may be determined for each channel, and a weighted traffic OLPC setpoint calculated from the individual traffic channel OLPC setpoint. The setpoint adjustment may depend on received frame errors, where the power up step size is a multiple of the power down step size, the multiple calculated from target FERs.
    • 用于反向链路的外环功率控制(OLPC)考虑与至少两个反向链路业务信道相关联的帧信息,其发射功率参考反向链路导频信道R-PICH的发射功率。 根据诸如目标帧错误率(FER)和与每个业务信道相关联的实际帧错误的信息来确定业务OLPC设定点,并且业务OLPC设定点被转换为R-PICH OLPC设定点。 可以通过组合所接收的帧信息而生成的加权帧信息来计算交通OLPC设定点。 或者,可以针对每个通道确定业务信道OLPC设定点,以及从各个业务信道OLPC设定点计算的加权业务OLPC设定点。 设定点调整可能取决于接收的帧错误,其中上电步长是功率下降步长的倍数,从目标FER计算的倍数。
    • 99. 发明申请
    • LOCALIZATION USING ROAD MARKINGS
    • 使用道路标记的本地化
    • US20140343842A1
    • 2014-11-20
    • US13896827
    • 2013-05-17
    • Ananth RanganathanTao Wu
    • Ananth RanganathanTao Wu
    • G01C21/28
    • G01C21/30G01C21/28
    • One or more embodiments of techniques or systems for creating a road marking classification template and vehicle localization using road markings are provided herein. A road marking classification template database includes templates of training images taken from different navigation environments. A training image with a road marking can be rectified and enhanced. Corners can be calculated for the road marking using the rectified or enhanced image. Locations can be determined for the corners and stored as part of a template. Similarly, a runtime image can also be rectified, enhanced, boosted, etc. Additionally, corners can be calculated for the runtime image and matched against corners of templates from the template database. A location or a pose of a vehicle can be determined using the match. In this way, vehicle localization is provided such that drift or other issues associated with GPS, such as occlusion, are mitigated, for example.
    • 本文提供用于创建道路标线分类模板的技术或系统的一个或多个实施例以及使用道路标记的车辆定位。 路标分类模板数据库包括从不同导航环境拍摄的训练图像的模板。 道路标线的训练形象可以纠正和加强。 可以使用整流或增强图像计算道路标记的角度。 可以确定角落的位置,并作为模板的一部分进行存储。 类似地,还可以对运行时映像进行纠正,增强,提升等。另外,可以为运行时映像计算角落,并与模板数据库中的模板的角度进行匹配。 可以使用该匹配来确定车辆的位置或姿势。 以这种方式,提供车辆定位,使得例如减轻与GPS相关联的漂移或其他问题,例如闭塞。