Apparatus and method for automatic steering control in vehicle

    公开(公告)号:US10160485B2

    公开(公告)日:2018-12-25

    申请号:US15204849

    申请日:2016-07-07

    Abstract: A steering control method and device for autonomous vehicles is provided. The steering control method includes sensing traffic lanes on a road on which a vehicle is being driven and deriving a vanishing point positioned on lines extending from the traffic lanes. A sensitivity of a steering angle that corresponds to a vertical coordinate of the vanishing point in a matrix and an initial steering angle that corresponds to a horizontal coordinate are then determined. Further, a steering control value that corresponds to the initial steering angle and the sensitivity of the steering angle are determined.

    Apparatus and method for managing failure in autonomous navigation system
    33.
    发明授权
    Apparatus and method for managing failure in autonomous navigation system 有权
    自主导航系统故障管理装置及方法

    公开(公告)号:US09529361B2

    公开(公告)日:2016-12-27

    申请号:US14081366

    申请日:2013-11-15

    CPC classification number: G05D1/0061 G01C21/00

    Abstract: An apparatus and method for managing failure in an autonomous navigation system are provided. The method includes collecting, by a controller, failure information in the autonomous navigation system and a monitoring a driver condition. The controller is configured to collect the failure information in the autonomous navigation system, and determine whether to switch control from the autonomous navigation vehicle to a manual driving mode based on the driver condition.

    Abstract translation: 提供了一种用于管理自主导航系统中的故障的装置和方法。 该方法包括由控制器收集自主导航系统中的故障信息和监视驾驶员状况。 控制器被配置为收集自主导航系统中的故障信息,并且基于驾驶员状况来确定是否将控制从自主导航车辆切换到手动驾驶模式。

    APPARATUS AND METHOD FOR RECOGNIZING DRIVING FIELD OF VEHICLE
    34.
    发明申请
    APPARATUS AND METHOD FOR RECOGNIZING DRIVING FIELD OF VEHICLE 有权
    用于识别车辆驾驶领域的装置和方法

    公开(公告)号:US20150175204A1

    公开(公告)日:2015-06-25

    申请号:US14323350

    申请日:2014-07-03

    CPC classification number: B62D15/029 G08G1/167

    Abstract: An apparatus and method for recognizing a driving field of a vehicle are provided. The apparatus includes a sensor that is configured to sense a location of a vehicle driving on a road and sense whether an object is adjacent to the vehicle. In addition, a controller is configured to detect whether the object is present and a lane of the road on which the vehicle is being driven is changed to detect a final lane candidate group on which the vehicle is positioned. The final lane candidate group is then displayed by the controller.

    Abstract translation: 提供一种用于识别车辆的驾驶场的装置和方法。 该装置包括被配置为感测在道路上行驶的车辆的位置并感测物体是否与车辆相邻的传感器。 此外,控制器被配置为检测物体是否存在,并且车辆被驱动的道路的车道被改变以检测车辆所在的最后车道候补组。 然后由控制器显示最终的车道候选组。

    METHOD AND SYSTEM FOR MEASURING A VEHICLE POSITION INDOORS
    35.
    发明申请
    METHOD AND SYSTEM FOR MEASURING A VEHICLE POSITION INDOORS 审中-公开
    用于测量车辆位置的方法和系统

    公开(公告)号:US20150168155A1

    公开(公告)日:2015-06-18

    申请号:US14463002

    申请日:2014-08-19

    Inventor: Byung Yong You

    CPC classification number: G01C21/206 H04N7/183

    Abstract: A method and system for measuring a vehicle position indoors are provided. The method includes continuously determining, by a controller, whether a vehicle is present within a range captured by a closed circuit television (CCTV). When the vehicle is present within that range, the controller is configured to calculate the vehicle position on a map using an image result of the vehicle captured the CCTV and calculate a heading angle which is a running direction of the vehicle. In addition, an absolute position of the vehicle on the map is calculated using the vehicle position on the map and the heading angle.

    Abstract translation: 提供了一种用于在室内测量车辆位置的方法和系统。 该方法包括通过控制器连续地确定车辆是否存在于由闭路电视(CCTV)捕获的范围内。 当车辆在该范围内时,控制器被配置为使用车辆拍摄CCTV的图像结果来计算地图上的车辆位置,并计算作为车辆的行驶方向的行驶角度。 此外,使用地图上的车辆位置和航向角度来计算车辆在地图上的绝对位置。

    APPARATUS AND METHOD FOR DETERMINING CARELESS DRIVING
    36.
    发明申请
    APPARATUS AND METHOD FOR DETERMINING CARELESS DRIVING 有权
    用于确定卡车驾驶的装置和方法

    公开(公告)号:US20150081605A1

    公开(公告)日:2015-03-19

    申请号:US14099029

    申请日:2013-12-06

    Abstract: An apparatus and a method for determining careless driving are provided and determine more reliable careless driving by generating normal driving patterns using driving performance data for a reference time at the beginning of driving. In addition, careless driving patterns greater than a predetermined number are detected using the normal driving pattern and a boundary between the normal driving and the careless driving is determined using a supervised learning method. The careless driving of the driver is then determined based on the determined boundary.

    Abstract translation: 提供了一种用于确定粗心驾驶的装置和方法,并且通过使用驾驶开始时的参考时间的驾驶性能数据产生正常驾驶模式来确定更可靠的粗心驾驶。 此外,使用正常驾驶模式来检测大于预定数量的粗心驾驶模式,并且使用监督学习方法确定正常驾驶和粗心驾驶之间的边界。 然后,基于所确定的边界来确定驾驶员的粗心驾驶。

    Driving mode changing method and apparatus of autonomous navigation vehicle
    37.
    发明授权
    Driving mode changing method and apparatus of autonomous navigation vehicle 有权
    自主导航车辆的驾驶模式改变方法和装置

    公开(公告)号:US08812186B2

    公开(公告)日:2014-08-19

    申请号:US13902024

    申请日:2013-05-24

    CPC classification number: G05D1/0061 B60W30/00 G05D2201/0213

    Abstract: A driving mode changing method and apparatus of an autonomous navigation vehicle that allows a driver to stably operate the autonomous navigation vehicle. The autonomous navigation vehicle may be stably operated by mounting an apparatus (a touch pad, a joystick, or the like) to operate the autonomous navigation vehicle on seats (a passenger seat and a rear seat) other than a driver seat of the autonomous navigation vehicle and providing various information (a near around view, a far around view, a critical level, vehicle information, and the like) to drive the autonomous navigation vehicle.

    Abstract translation: 一种允许驾驶员稳定地操作自主导航车辆的自主导航车辆的驾驶模式改变方法和装置。 自主导航车辆可以通过安装设备(触摸板,操纵杆等)来稳定地操作,以将自主导航车辆操作在除了自主导航的驾驶员座椅之外的座椅(乘客座椅和后座椅)上 提供各种信息(近视,远景,关键水平,车辆信息等),以驱动自主导航车辆。

    UNMANNED AUTONOMOUS TRAVELING SERVICE APPARATUS AND METHOD BASED ON DRIVING INFORMATION DATABASE
    38.
    发明申请
    UNMANNED AUTONOMOUS TRAVELING SERVICE APPARATUS AND METHOD BASED ON DRIVING INFORMATION DATABASE 有权
    基于驱动信息数据库的自动旅行服务设备和方法

    公开(公告)号:US20140172220A1

    公开(公告)日:2014-06-19

    申请号:US13895647

    申请日:2013-05-16

    Inventor: Byung Yong You

    Abstract: An unmanned autonomous traveling service apparatus and method based on driving information database that allows an unmanned autonomous traveling vehicle to be autonomously operated stably without performing a large scale computing process in real time by allowing the unmanned autonomous traveling vehicle to be autonomously operated based on driving information generated in a database and allowing the unmanned autonomous traveling vehicle to be autonomously operated based on an installed sensor at the time of a traffic lane change or an unexpected situation. In particular, the driving information is collected from drivers throughout the world to create the database for the driving information.

    Abstract translation: 基于驾驶信息数据库的无人自主旅行服务装置和方法,其允许无人驾驶的自动行驶车辆通过基于驾驶信息自主地运行而无需实时地执行大规模的计算处理,从而能够自主地运行无人自主行驶车辆 在数据库中产生并且允许无人自行行驶车辆在行车道改变时或者意外情况下基于安装的传感器自主操作。 特别是,驾驶信息从世界各地的司机收集,以创建驾驶信息的数据库。

    Deep learning-based autonomous vehicle control device, system including the same, and method thereof

    公开(公告)号:US10860030B2

    公开(公告)日:2020-12-08

    申请号:US15615971

    申请日:2017-06-07

    Inventor: Byung Yong You

    Abstract: A deep learning-based autonomous vehicle control system includes: a processor determining an autonomous driving control based on deep learning, correcting an error in determination of the deep learning-based autonomous driving control based on determination of an autonomous driving control based on a predetermined expert rule, and controlling an autonomous vehicle; and a non-transitory computer-readable storage medium storing data for the determination of the deep learning-based autonomous driving control, data for the determination of the expert rule-based autonomous driving control, and information about the error in the determination of the deep learning-based autonomous driving control.

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