LANE CHANGE CONTROL APPARATUS AND CONTROL METHOD OF THE SAME
    3.
    发明申请
    LANE CHANGE CONTROL APPARATUS AND CONTROL METHOD OF THE SAME 审中-公开
    LANE CHANGE控制装置及其控制方法

    公开(公告)号:US20150161895A1

    公开(公告)日:2015-06-11

    申请号:US14297250

    申请日:2014-06-05

    Abstract: A lane change control apparatus includes a lane information extractor configured to obtain lane information for a driving lane by using image information for a lane. A lane changeable time calculator is configured to calculate a lane changeable time by using speed information of an own vehicle and information for peripheral vehicles obtained from sensing apparatuses installed in the vehicle. A reference yaw rate generator is configured to determine a lane change time by using the lane changeable time and speed information and generate a reference yaw rate symmetrically changed on a time axis during the lane change time by using the lane change time and lane information. A reference yaw rate tracker is configured to control an operation of the own vehicle so as to track the reference yaw rate.

    Abstract translation: 车道变换控制装置包括车道信息提取器,其被配置为通过使用车道的图像信息来获取驾驶车道的车道信息。 车道可变时间计算器被配置为通过使用本车辆的速度信息和从安装在车辆中的感测装置获得的用于周边车辆的信息来计算车道可变换时间。 参考横摆率发生器被配置为通过使用车道可变换时间和速度信息来确定车道改变时间,并且通过使用车道改变时间和车道信息来生成在车道改变时间期间在时间轴上对称地改变的参考横摆率。 参考横摆速度跟踪器被配置为控制本车辆的操作以跟踪参考横摆率。

    LANE CHANGING APPARATUS AND METHOD OF AUTONOMOUS VEHICLE

    公开(公告)号:US20170106905A1

    公开(公告)日:2017-04-20

    申请号:US15391380

    申请日:2016-12-27

    Abstract: A lane changing apparatus of an autonomous vehicle includes a lane recognizer, a vehicle information collector, control information, calculator, a controller and a steering apparatus. The lane recognizer is configured to recognize a lane of a road on which the vehicle is driving and extract road information from the recognized lane. The vehicle information collector is configured to collect vehicle information by a variety of sensors installed in the vehicle. The control information calculator is configured to calculate control information for changing the lane by using the vehicle information and the road information. The controller is configured to control a yaw rate of the vehicle based on the control information upon changing the lane. The steering apparatus is configured to change a moving direction of the vehicle according to a control of the controller.

    APPARATUS AND METHOD FOR GENERATING GLOBAL PATH FOR AN AUTONOMOUS VEHICLE
    5.
    发明申请
    APPARATUS AND METHOD FOR GENERATING GLOBAL PATH FOR AN AUTONOMOUS VEHICLE 审中-公开
    用于为自动车辆生成全球路径的装置和方法

    公开(公告)号:US20160025505A1

    公开(公告)日:2016-01-28

    申请号:US14562405

    申请日:2014-12-05

    CPC classification number: G01C21/3461 G05D1/0217 G05D2201/0213

    Abstract: There are provided an apparatus and method for generating a global path for an autonomous vehicle. The apparatus for generating a global path for an autonomous vehicle includes a sensor module including one or more sensors installed in the vehicle, a traffic information receiver configured to receive traffic information through wireless communication, a path generator configured to generate one or more candidate paths based on the traffic information, a difficulty evaluator configured to evaluate a difficulty of driving in the one or more candidate paths in each section of the one or more candidate paths using recognition rates of the one or more sensors and the traffic information, and an autonomous driving path selector configured to finally select an autonomous driving path by evaluating the one or more candidate paths based on the evaluation of the difficulty of driving.

    Abstract translation: 提供了一种用于生成自主车辆的全局路径的装置和方法。 用于产生用于自主车辆的全局路径的装置包括:传感器模块,包括安装在车辆中的一个或多个传感器;配置成通过无线通信接收交通信息的交通信息接收器;被配置为生成一个或多个候选路径的路径发生器 在交通信息中,难点评估器被配置为使用一个或多个传感器的识别率和交通信息来评估在所述一个或多个候选路径的每个部分中的一个或多个候选路径中的驾驶难度,以及自主驾驶 路径选择器,其被配置为基于对驾驶难度的评估来评估一个或多个候选路径来最终选择自主驾驶路径。

    DEEP LEARNING-BASED AUTONOMOUS VEHICLE CONTROL DEVICE, SYSTEM INCLUDING THE SAME, AND METHOD THEREOF

    公开(公告)号:US20210048826A1

    公开(公告)日:2021-02-18

    申请号:US17073808

    申请日:2020-10-19

    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.

    DEEP LEARNING-BASED AUTONOMOUS VEHICLE CONTROL DEVICE, SYSTEM INCLUDIG THE SAME, AND METHOD THEREOF

    公开(公告)号:US20210034064A1

    公开(公告)日:2021-02-04

    申请号:US17073813

    申请日:2020-10-19

    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.

    LANE ESTIMATING APPARATUS AND METHOD
    10.
    发明申请

    公开(公告)号:US20180111613A1

    公开(公告)日:2018-04-26

    申请号:US15365122

    申请日:2016-11-30

    Abstract: The present disclosure provides a lane estimating apparatus and method. The apparatus includes: a lane determiner, an obstacle position calculator, a vehicle position corrector, and a lane estimator. The lane determiner compares a first lane detected by a first sensor with a lane on an actual road or a second lane on a local map to determine reliability of the first lane. The obstacle position calculator detects, when the reliability of the detected first lane is less than a preset reference, a first obstacle in the vicinity of a vehicle and a second obstacle on the local map, and calculates a difference between slopes and positions of straight lines extracted from the first obstacle and the second obstacle. The vehicle position corrector corrects a heading direction and a position of the vehicle based on the difference between the slopes and positions of the straight lines. In addition, the lane estimator estimates a driving lane on the local map.

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