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    • 2. 发明申请
    • SYSTEMS AND METHODS FOR NAVIGATING LANE MERGES AND LANE SPLITS
    • 用于导航LANE分离和LANE分离的系统和方法
    • WO2018081807A2
    • 2018-05-03
    • PCT/US2017/059327
    • 2017-10-31
    • MOBILEYE VISION TECHNOLOGIES LTD.
    • EAGELBERG, DorSTEIN, GideonTAIEB, YoavGDALYAHU, YoramFRIDMAN, Ofer
    • Systems and methods are provided for navigating an autonomous vehicle. In one implementation, a system includes a processing device programmed to receive a plurality of images representative of an environment of the host vehicle. The environment includes a road on which the host vehicle is traveling. The at least one processing device is further programmed to analyze the images to identify a target vehicle traveling in a lane of the road different from a lane in which the host vehicle is traveling; analyze the images to identify a lane mark associated with the lane in which the target vehicle is traveling; detect lane mark characteristics of the identified lane mark; use the detected lane mark characteristics to determine a type of the identified lane mark; determine a characteristic of the target vehicle; and determine a navigational action for the host vehicle based on the determined lane mark type and the determined characteristic of the target vehicle.
    • 系统和方法被提供用于导航自主车辆。 在一个实施方式中,系统包括被编程为接收表示主车辆的环境的多个图像的处理装置。 环境包括主车辆行驶的道路。 所述至少一个处理装置被进一步编程以分析图像以识别在与主车辆行驶的车道不同的道路的车道中行驶的目标车辆; 分析图像以识别与目标车辆正在其中行驶的车道相关联的车道标记; 检测识别的车道标记的车道标记特征; 使用检测到的车道标记特征来确定所识别的车道标记的类型; 确定目标车辆的特征; 并且基于所确定的车道标记类型和所确定的目标车辆的特征来确定主车辆的导航动作。
    • 4. 发明申请
    • CROWDSOURCING AND DISTRIBUTING A SPARSE MAP, AND LANE MEASUREMENTS FOR AUTONOMOUS VEHICLE NAVIGATION
    • CROWDSOURCING AND DISTRIBUTING A SPARSE MAP,AND LANE MEASUREMENTS for AUTOMATIC VEHICLE NAVIGATION
    • WO2018015811A1
    • 2018-01-25
    • PCT/IB2017/001058
    • 2017-07-21
    • MOBILEYE VISION TECHNOLOGIES LTD.
    • FRIDMAN, OferBELLAICHE, Levi Itzhak
    • G06K9/00
    • Systems and methods are provided for generating, distributing, and using a sparse map and lane measurements for autonomous vehicle navigation. For example, one implementation relates to a non-transitory computer-readable medium including a sparse map for autonomous vehicle navigation along a road segment. Another implementation relates to a method of generating a road navigation model for use in autonomous vehicle navigation. A third implementation relates to a system for autonomously navigating a vehicle along a road segment. A fourth implementation relates to a method of determining a line representation of a road surface feature extending along a road segment. A fifth implementation relates to a method of determining a line representation of a road surface feature extending along a road segment. A sixth implementation relates to a system for correcting a position of a vehicle navigating a road segment.
    • 系统和方法被提供用于生成,分配和使用用于自主车辆导航的稀疏图和车道测量。 例如,一个实施方式涉及包括用于沿路段的自主车辆导航的稀疏映射的非暂时性计算机可读介质。 另一种实施方式涉及一种生成供自主车辆导航使用的道路导航模型的方法。 第三种实施方式涉及一种用于沿路段自动导航车辆的系统。 第四实施方式涉及确定沿路段延伸的道路表面特征的线表示的方法。 第五实施方式涉及确定沿路段延伸的道路表面特征的线表示的方法。 第六实施方式涉及一种用于校正在路段上导航的车辆的位置的系统。