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    System and method for vehicle occlusion detection
    3.
    发明授权
    System and method for vehicle occlusion detection 有权

    公开(公告)号：US11745736B2

    公开(公告)日：2023-09-05

    申请号：US17006283

    申请日：2020-08-28

    Applicant: TuSimple, Inc.

    Inventor： Hongkai Yu ,  Zhipeng Yan ,  Panqu Wang ,  Pengfei Chen

    IPC: B60W30/095 ,  G06V10/25 ,  G06V10/44 ,  G06V20/56 ,  G06V20/58 ,  G06F18/24 ,  G06F18/214 ,  G06F18/2413 ,  G06V10/774 ,  G06V10/70 ,  G05D1/02

    CPC classification number: B60W30/0956 ,  G06F18/2155 ,  G06F18/24 ,  G06F18/2413 ,  G06V10/25 ,  G06V10/44 ,  G06V10/7753 ,  G06V10/87 ,  G06V20/56 ,  G06V20/58 ,  G05D1/0221

    Abstract: A system and method for vehicle occlusion detection is disclosed. A particular embodiment includes: receiving training image data from a training image data collection system; obtaining ground truth data corresponding to the training image data; performing a training phase to train a plurality of classifiers, a first classifier being trained for processing static images of the training image data, a second classifier being trained for processing image sequences of the training image data; receiving image data from an image data collection system associated with an autonomous vehicle; and performing an operational phase including performing feature extraction on the image data, determining a presence of an extracted feature instance in multiple image frames of the image data by tracing the extracted feature instance back to a previous plurality of N frames relative to a current frame, applying the first trained classifier to the extracted feature instance if the extracted feature instance cannot be determined to be present in multiple image frames of the image data, and applying the second trained classifier to the extracted feature instance if the extracted feature instance can be determined to be present in multiple image frames of the image data.

    System and method for vehicle wheel detection
    4.
    发明授权
    System and method for vehicle wheel detection 有权

    公开(公告)号：US11501513B2

    公开(公告)日：2022-11-15

    申请号：US16855951

    申请日：2020-04-22

    Applicant: TUSIMPLE, INC.

    Inventor： Panqu Wang ,  Pengfei Chen

    IPC: G06V10/20 ,  G06K9/62 ,  G06T7/194 ,  G06V10/44 ,  G06V20/56 ,  G06V20/58 ,  G06V10/82

    Abstract: A system and method for vehicle wheel detection is disclosed. A particular embodiment can be configured to: receive training image data from a training image data collection system; obtain ground truth data corresponding to the training image data; perform a training phase to train one or more classifiers for processing images of the training image data to detect vehicle wheel objects in the images of the training image data; receive operational image data from an image data collection system associated with an autonomous vehicle; and perform an operational phase including applying the trained one or more classifiers to extract vehicle wheel objects from the operational image data and produce vehicle wheel object data.

    System and method for multitask processing for autonomous vehicle computation and control
    5.
    发明授权
    System and method for multitask processing for autonomous vehicle computation and control 有权

    公开(公告)号：US10962979B2

    公开(公告)日：2021-03-30

    申请号：US15721797

    申请日：2017-09-30

    Applicant: TuSimple, Inc.

    Inventor： Xiangchen Zhao ,  Tian Li ,  Panqu Wang ,  Pengfei Chen

    IPC: G01C22/00 ,  G05D1/00 ,  G05D1/02 ,  G06K9/00 ,  G06K9/62

    Abstract: A system and method for multitask processing for autonomous vehicle computation and control includes: receiving training image data from a training image data collection system; performing a training phase to train a plurality of tasks associated with features of the training image data, the training phase including extracting common features from the training image data, causing the plurality of tasks to generate task-specific predictions based on the training image data, determining a bias between the task-specific prediction for each task and corresponding task-specific ground truth data, and adjusting parameters of each of the plurality of tasks to cause the bias to meet a pre-defined confidence level; receiving image data from an image data collection system associated with an autonomous vehicle; and performing an operational phase including extracting common features from the image data, causing the plurality of trained tasks to concurrently generate task-specific predictions based on the image data.

    System and method for detecting taillight signals of a vehicle
    7.
    发明授权
    System and method for detecting taillight signals of a vehicle 有权

    公开(公告)号：US10387736B2

    公开(公告)日：2019-08-20

    申请号：US15709832

    申请日：2017-09-20

    Applicant: TuSimple

    Inventor： Yijie Wang ,  Ligeng Zhu ,  Panqu Wang ,  Pengfei Chen

    IPC: G06K9/00 ,  G05D1/02 ,  G06K9/62 ,  G06K9/20 ,  G05D1/00

    Abstract: A system method for detecting taillight signals of a vehicle using a convolutional neural network is disclosed. A particular embodiment includes: receiving a plurality of images from one or more image-generating devices; generating a frame for each of the plurality of images; generating a ground truth, wherein the ground truth includes a labeled image with one of the following taillight status conditions for a right or left taillight signal of the vehicle: (1) an invisible right or left taillight signal, (2) a visible but not illuminated right or left taillight signal, and (3) a visible and illuminated right or left taillight signal; creating a first dataset including the labeled images corresponding to the plurality of images, the labeled images including one or more of the taillight status conditions of the right or left taillight signal; and creating a second dataset including at least one pair of portions of the plurality of images, wherein the at least one pair of portions of the plurality of the images are in temporal succession.

    Images for perception modules of autonomous vehicles
    10.
    发明授权
    Images for perception modules of autonomous vehicles 有权

    公开(公告)号：US11010874B2

    公开(公告)日：2021-05-18

    申请号：US16381707

    申请日：2019-04-11

    Applicant: TuSimple, Inc.

    Inventor： Pengfei Chen ,  Nan Yu ,  Naiyan Wang ,  Xiaodi Hou

    IPC: G06T5/00 ,  H04N9/04 ,  B60W40/02

    Abstract: Disclosed are devices, systems and methods for processing an image. In one aspect a method includes receiving an image from a sensor array including an x-y array of pixels, each pixel in the x-y array of pixels having a value selected from one of three primary colors, based on a corresponding x-y value in a mask pattern. The method may further include generating a preprocessed image by performing preprocessing on the image. The method may further include performing perception on the preprocessed image to determine one or more outlines of physical objects.

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