CHARACTERIZING OPTICAL CHARACTERISTICS OF OPTICAL ELEMENTS

    公开(公告)号:US20200336641A1

    公开(公告)日:2020-10-22

    申请号:US16890602

    申请日:2020-06-02

    申请人: Pony AI Inc.

    IPC分类号: H04N5/232 G06T7/80 H04N5/225

    摘要: Systems, methods, and non-transitory computer readable media may be configured to characterize optical characteristics of optical elements. An optical element mount may be configured to carry an optical element. A calibration display may be configured to display a calibration object. The calibration object may include a known visual pattern. Multiple images of the calibration object may be obtained. The multiple images may be acquired using the optical element carried by the optical element mount. The multiple images may include different perspectives of the calibration object. Optical characteristics of the optical element may be characterized based on the known visual pattern and the different perspectives of the calibration object.

    Enhanced three-dimensional training data generation

    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.

    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.

    Active off-vehicle notification to autonomous-driving vehicle

    公开(公告)号:US10712744B2

    公开(公告)日:2020-07-14

    申请号:US15917438

    申请日:2018-03-09

    申请人: Pony AI Inc.

    摘要: A system included and a computer-implemented method performed in an autonomous-driving vehicle are described. The system performs: detecting a wireless push signal transmitted from a signal transmitter accompanied by an off-vehicle passer and received by a signal receiver of the autonomous-driving vehicle, the wireless push signal including information about a motion capability level of the off-vehicle passer, determining a position and a motion capability level of the off-vehicle passer at least based on the wireless push signal, and controlling a locomotive mechanism of the autonomous-driving vehicle based on the determined position and motion capability level of the off-vehicle passer.

    Enhanced training information generation

    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.

    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.

    Characterizing optical characteristics of optical elements

    公开(公告)号:US11438492B2

    公开(公告)日:2022-09-06

    申请号:US16890602

    申请日:2020-06-02

    申请人: Pony AI Inc.

    摘要: Systems, methods, and non-transitory computer readable media may be configured to characterize optical characteristics of optical elements. An optical element mount may be configured to carry an optical element. A calibration display may be configured to display a calibration object. The calibration object may include a known visual pattern. Multiple images of the calibration object may be obtained. The multiple images may be acquired using the optical element carried by the optical element mount. The multiple images may include different perspectives of the calibration object. Optical characteristics of the optical element may be characterized based on the known visual pattern and the different perspectives of the calibration object.