利索-全球专利检索

  1. 登录
  2. 注册

搜索结果

8 条记录 (耗时 0.013 秒)

    System and method for projecting trajectory path of an autonomous vehicle onto a road surface
    1.
    发明授权
    System and method for projecting trajectory path of an autonomous vehicle onto a road surface 有权

    公开(公告)号：US10717384B2

    公开(公告)日：2020-07-21

    申请号：US15793210

    申请日：2017-10-25

    申请人： Pony AI Inc.

    发明人： Xiang Yu ,  Zichao Qi ,  Hao Song ,  Sinan Xiao ,  Bo Xiao ,  Jie Hou ,  Tianyi Li ,  Tiancheng Lou ,  Jun Peng ,  Yiming Liu

    IPC分类号： B60Q1/50 ,  B60Q1/34 ,  G05D1/00 ,  G05D1/02

    摘要： Systems and methods directed to projecting a current trajectory path of the autonomous vehicle on a surface of road is disclosed. In some embodiments, an autonomous vehicle with a light projector is disclosed, where the light projector is on a top surface of an autonomous vehicle. Additionally, in some embodiments, the autonomous vehicle may include an electronic control unit for controlling an operation of the light projector, where the electronic control unit detects whether the autonomous vehicle is turned on. In further embodiments, the electronic control unit receives data of an environmental condition surrounding the autonomous vehicle and receives an upcoming trajectory path of the autonomous vehicle. The electronic control unit may also project a light from the light projector onto a surface of a road indicating the upcoming trajectory path of the autonomous vehicle.

    Enhanced three-dimensional training data generation
    3.
    发明授权
    Enhanced three-dimensional training data generation 有权

    公开(公告)号：US10740914B2

    公开(公告)日：2020-08-11

    申请号：US15949928

    申请日：2018-04-10

    申请人： Pony AI Inc.

    发明人： Bo Xiao ,  Yiming Liu ,  Sinan Xiao ,  Xiang Yu ,  Tiancheng Lou ,  Jun Peng ,  Jie Hou ,  Zhuo Zhang ,  Hao Song

    IPC分类号： G06T7/521 ,  G06K9/00 ,  G06T17/05 ,  G01S17/08 ,  G01S7/48 ,  G01S17/86

    摘要： Systems, methods, and non-transitory computer readable media configured to generate enhanced three-dimensional information. Three-dimensional information of a scene may be obtained. The three-dimensional information may define a three-dimensional point cloud model of the scene. The three-dimensional information may be determined based on distances of the scene from a location. Image information may be obtained. The image information may define one or more images of an object. The object may be identified based on the image information. A three-dimensional point cloud model of the object may be obtained. Enhanced three-dimensional information of the scene may be generated by inserting the three-dimensional point cloud model of the object into the three-dimensional point cloud model of the scene.

    COORDINATED CONTROL OF SELF-DRIVING VEHICLES UNDER EMERGENCY SITUATIONS
    5.
    发明申请
    COORDINATED CONTROL OF SELF-DRIVING VEHICLES UNDER EMERGENCY SITUATIONS 审中-公开

    公开(公告)号：US20190391576A1

    公开(公告)日：2019-12-26

    申请号：US16562306

    申请日：2019-09-05

    申请人： Pony AI Inc.

    发明人： Zhuo Zhang ,  Sinan Xiao ,  Xiang Yu ,  Hao Song ,  Tianyi Li ,  Bo Xiao ,  Jie Hou ,  Yiming Liu ,  Tiancheng Lou ,  Jun Peng

    IPC分类号： G05D1/00 ,  G05D1/02

    摘要： A system included and a computer-implemented method performed in one of a plurality of self-driving vehicles that are connected through a network are described. The system performs: processing image data of one or more scene images received by said one of the plurality of self-driving vehicles, to detect one or more objects included in the one or more scene images; determining a target object from the one or more detected objects at least based on the processed image data; predicting movement of the target object at least based on a current position and a current movement state of the target object; and performing a self-driving operation to drive said one of the plurality of self-driving vehicles based on the predicted movement of the target object.

    Enhanced training information generation
    6.
    发明授权
    Enhanced training information generation 有权

    公开(公告)号：US11529950B2

    公开(公告)日：2022-12-20

    申请号：US17014795

    申请日：2020-09-08

    申请人： Pony AI Inc.

    发明人： Bo Xiao ,  Yiming Liu ,  Sinan Xiao ,  Xiang Yu ,  Tiancheng Lou ,  Jun Peng ,  Jie Hou ,  Zhuo Zhang ,  Hao Song

    IPC分类号： B60W30/09 ,  G06N20/00

    摘要： Systems, methods, and non-transitory computer readable media configured to generate enhanced training information. Training information may be obtained. The training information may characterize behaviors of moving objects. The training information may be determined based on observations of the behaviors of the moving objects. Behavior information may be obtained. The behavior information may characterize a behavior of a given object. Enhanced training information may be generated by inserting the behavior information into the training information.