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    TRAINING MACHINE LEARNING NETWORKS FOR CONTROLLING VEHICLE OPERATION
    1.
    发明公开
    TRAINING MACHINE LEARNING NETWORKS FOR CONTROLLING VEHICLE OPERATION 审中-公开

    公开(公告)号：US20240296681A1

    公开(公告)日：2024-09-05

    申请号：US18141014

    申请日：2023-04-28

    申请人： Motional AD LLC

    发明人： Apoorv Singh ,  Varun Kumar Reddy Bankiti

    IPC分类号： G06V20/56 ,  G06V10/44 ,  G06V10/82

    CPC分类号： G06V20/56 ,  G06V10/454 ,  G06V10/82

    摘要： Provided are methods for training and evaluating machine learning networks. The methods can include obtaining ground truth data representing images of an environment of a vehicle. The methods can include determining a first plurality of subsets of the ground truth data. The methods can include mapping the first plurality of subsets to a plurality of sensors. The methods can include determining a second plurality of subsets of the ground truth data by removing at least one selected subset from the first plurality of subsets. The methods can include inputting the second plurality of subsets to at least one machine learning network. The methods can include predicting a surrounding view of the environment using the at least one machine learning network. Vehicles and non-transitory computer-readable storage media are also provided.

    Aggregation of Data Representing Geographical Areas
    2.
    发明公开
    Aggregation of Data Representing Geographical Areas 审中-公开

    公开(公告)号：US20240125617A1

    公开(公告)日：2024-04-18

    申请号：US18091786

    申请日：2022-12-30

    申请人： Motional AD LLC

    发明人： Apoorv Singh ,  Varun Kumar Reddy Bankiti ,  Jeongil Ju ,  Akankshya Kar

    IPC分类号： G01C21/00 ,  G01C21/36 ,  G06T11/00 ,  G08G1/01 ,  G08G1/056

    CPC分类号： G01C21/3841 ,  G01C21/3667 ,  G06T11/00 ,  G08G1/0125 ,  G08G1/0141 ,  G08G1/056

    摘要： Provided are methods and systems for aggregating data associated with various geographic areas for trajectory determination and high definition map generation. The methods and systems may include obtaining first data associated with a first area that is external to a vehicle, converting the first data associated with the first area from a first format to a second format, transmitting the first data that is converted and a query associated with a second area, receiving second data specific to the second area responsive to the query, aggregating the second data specific to the second area with the first data, determining, using the at least one processor, a trajectory of the vehicle within a physical space based on the aggregating of the second data with the first data, and/or generating a graphical representation for use by a display of the vehicle based on the second data that is aggregated with the first data.

    MONOCULAR 3D OBJECT DETECTION FROM IMAGE SEMANTICS NETWORK
    5.
    发明申请
    MONOCULAR 3D OBJECT DETECTION FROM IMAGE SEMANTICS NETWORK 有权

    公开(公告)号：US20220026917A1

    公开(公告)日：2022-01-27

    申请号：US16936415

    申请日：2020-07-22

    申请人： Motional AD LLC

    发明人： Oscar Olof Beijbom ,  Varun Kumar Reddy Bankiti ,  Donghyeon Won

    IPC分类号： G05D1/02 ,  G06T7/80 ,  G06K9/62 ,  G05D1/00 ,  G06K9/00

    摘要： Techniques are provided for monocular 3D object detection from an image semantics network. An image semantics network (ISN) is a single stage, single image object detection network that is based on single shot detection (SSD). In an embodiment, the ISN augments the SSD outputs to provide encoded 3D properties of the object along with a 2D bounding box and classification scores. For each priorbox, a 3D bounding box is generated for the object using the dimensions and location of the priorbox, the encoded 3D properties and camera intrinsic parameters.

    ITERATIVE DEPTH ESTIMATION
    8.
    发明公开
    ITERATIVE DEPTH ESTIMATION 审中-公开

    公开(公告)号：US20240262386A1

    公开(公告)日：2024-08-08

    申请号：US18163708

    申请日：2023-02-02

    申请人： Motional AD LLC

    发明人： Akankshya Kar ,  Apoorv Singh ,  Varun Kumar Reddy Bankiti

    IPC分类号： B60W60/00 ,  G06T7/50 ,  G06V10/764 ,  G06V10/82

    CPC分类号： B60W60/0011 ,  G06T7/50 ,  G06V10/764 ,  G06V10/82

    摘要： Provided are methods for image depth estimation, which can include obtaining image associated with a scene of an autonomous vehicle, determining a first estimated depth for a plurality of points in the image, and generating a plurality of groups of points based on the first estimated depth for the plurality of points. Some methods described also include determining a second estimated depth for at least one point using a range specific depth estimation head, determining at least one object classification for the at least one point, and causing the autonomous vehicle to be navigated based on the second estimated depth for the at least one point and the at least one object classification for the at least one point. Systems and computer program products are also provided.