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    Vehicle Radar Perception And Localization
    1.
    发明申请
    Vehicle Radar Perception And Localization 审中-公开

    公开(公告)号：US20180341273A1

    公开(公告)日：2018-11-29

    申请号：US16052122

    申请日：2018-08-01

    申请人： Ford Global Technologies, LLC.

    发明人： Ashley Elizabeth Micks ,  Venkatapathi Raju Nallapa ,  Vidya Nariyambut Murali ,  Scott Vincent Myers

    IPC分类号： G05D1/02 ,  G01C21/30 ,  B60W30/00

    摘要： The disclosure relates to methods, systems, and apparatuses for autonomous driving vehicles or driving assistance systems and more particularly relates to vehicle radar perception and location. The vehicle driving system disclosed may include a storage media, a radar system, a location component and a driver controller. The storage media stores a map of roadways. The radar system is configured to generate perception information from a region near the vehicle. The location component is configured to determine a location of the vehicle on the map based on the radar perception information and other navigation related data. The drive controller is configured to control driving of the vehicle based on the map and the determined location.

    TESTBED FOR LANE BOUNDARY DETECTION IN VIRTUAL DRIVING ENVIRONMENT
    3.
    发明申请
    TESTBED FOR LANE BOUNDARY DETECTION IN VIRTUAL DRIVING ENVIRONMENT 审中-公开

    公开(公告)号：US20170109458A1

    公开(公告)日：2017-04-20

    申请号：US14885225

    申请日：2015-10-16

    申请人： Ford Global Technologies, LLC

    发明人： Ashley Elizabeth Micks ,  Venkatapathi Raju Nallapa ,  Brielle Reiff ,  Vidya Nariyambut Murali ,  Sneha Kadetotad

    IPC分类号： G06F17/50 ,  G06F3/0484

    摘要： Methods and apparatus pertaining to a testbed for lane boundary detection in a virtual driving environment are provided. A method may involve generating, by a processor, a virtual driving environment comprising one or more driving lanes, a virtual vehicle, and one or more virtual sensors mounted on the virtual vehicle configured to generate simulated data as the virtual vehicle traverses within the virtual environment. The method may also involve executing an algorithm to process the simulated data to detect the one or more driving lanes. The method may further involve recording an output of the algorithm. The method may additionally involve annotating the simulated data with the output of the algorithm.

    VEHICLE RADAR PERCEPTION AND LOCALIZATION
    4.
    发明申请
    VEHICLE RADAR PERCEPTION AND LOCALIZATION 审中-公开
    车辆雷达观测和本地化

    公开(公告)号：US20170075355A1

    公开(公告)日：2017-03-16

    申请号：US14856010

    申请日：2015-09-16

    申请人： Ford Global Technologies, LLC

    发明人： Ashley Elizabeth Micks ,  Venkatapathi Raju Nallapa ,  Vidya Nariyambut Murali ,  Scott Vincent Myers

    IPC分类号： G05D1/02

    CPC分类号： G05D1/0257 ,  B60W30/00 ,  G01C21/30 ,  G05D1/024 ,  G05D1/0274 ,  G05D1/0278 ,  G05D2201/0213

    摘要： The disclosure relates to methods, systems, and apparatuses for autonomous driving vehicles or driving assistance systems and more particularly relates to vehicle radar perception and location. The vehicle driving system disclosed may include a storage media, a radar system, a location component and a driver controller. The storage media stores a map of roadways. The radar system is configured to generate perception information from a region near the vehicle. The location component is configured to determine a location of the vehicle on the map based on the radar perception information and other navigation related data. The drive controller is configured to control driving of the vehicle based on the map and the determined location.

    摘要翻译： 本公开涉及用于自主驾驶车辆或驾驶辅助系统的方法，系统和装置，并且更具体地涉及车辆雷达感知和位置。 所公开的车辆驾驶系统可以包括存储介质，雷达系统，位置组件和驱动器控制器。 存储介质存储道路图。 雷达系统被配置为从车辆附近的区域生成感知信息。 位置组件被配置为基于雷达感知信息和其他导航相关数据来确定车辆在地图上的位置。 驱动控制器被配置为基于地图和确定的位置来控制车辆的驾驶。

    Validating Gesture Recognition Capabilities Of Automated Systems
    8.
    发明申请
    Validating Gesture Recognition Capabilities Of Automated Systems 审中-公开

    公开(公告)号：US20190236341A1

    公开(公告)日：2019-08-01

    申请号：US15886707

    申请日：2018-02-01

    申请人： Ford Global Technologies, LLC

    发明人： Venkatapathi Raju Nallapa ,  Anjali Krishnamachar ,  Gautham Sholingar

    IPC分类号： G06K9/00 ,  G05D1/02

    摘要： The present invention extends to methods, systems, and computer program products for validating gesture recognition capabilities of automated systems. Aspects include a gesture recognition training system that is scalable, efficient, repeatable, and accounts for permutations of physical characteristics, clothing, types of gestures, environment, culture, weather, road conditions, etc. The gesture recognition training system includes sensors and algorithms used to generate training data sets that facilitate more accurate recognition of and reaction to human gestures. A training data set can be scaled from both monitoring and recording gestures performed by a humanoid robot and performed by animated humans in a simulation environment. From a scaled training data set, autonomous devices can be trained to recognize and react to a diverse set of human gestures in varying conditions with substantially improved capabilities. Recognition capabilities of an autonomous device can be validated and (re)trained until recognition capabilities are determined to be sufficient.