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公开(公告)号：US20230266759A1
公开(公告)日：2023-08-24
申请号：US18167993
申请日：2023-02-13
Applicant: TuSimple, Inc.
Inventor： Xiaoling HAN , Chenzhe QIAN , Chiyu ZHANG , Charles A. PRICE , Joshua Miguel RODRIGUEZ , Lei NIE , Lingting GE , Panqu WANG , Pengfei CHEN , Shuhan YANG , Xiangchen ZHAO , Xiaodi HOU , Zehua HUANG
IPC: G05D1/00
CPC classification number: G05D1/0088 , G05D2201/0213
Abstract: A system installed in a vehicle includes a first group of sensing devices configured to allow a first level of autonomous operation of the vehicle; a second group of sensing devices configured to allow a second level of autonomous operation of the vehicle, the second group of sensing devices including primary sensing devices and backup sensing devices; a third group of sensing devices configured to allow the vehicle to perform a safe stop maneuver; and a control element communicatively coupled to the first group of sensing devices, the second group of sensing devices, and the third group of sensing devices. The control element is configured to: receive data from at least one of the first group, the second group, or the third group of sensing devices, and provide a control signal to a sensing device based on categorization information indicating a group to which the sensing device belongs.
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公开(公告)号：US20210342602A1
公开(公告)日：2021-11-04
申请号：US17377206
申请日：2021-07-15
Applicant: TUSIMPLE, INC.
Inventor： Zhipeng YAN , Lingting GE , Pengfei CHEN , Panqu WANG
Abstract: A system and method for lateral vehicle detection is disclosed. A particular embodiment can be configured to: receive lateral image data from at least one laterally-facing camera associated with an autonomous vehicle; warp the lateral image data based on a line parallel to a side of the autonomous vehicle; perform object extraction on the warped lateral image data to identify extracted objects in the warped lateral image data; and apply bounding boxes around the extracted objects.
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公开(公告)号：US20210216792A1
公开(公告)日：2021-07-15
申请号：US17214828
申请日：2021-03-27
Applicant: TuSimple, Inc.
Inventor： Tian LI , Panqu WANG , Pengfei CHEN
Abstract: A system and method for instance-level lane detection for autonomous vehicle control are disclosed. A particular embodiment includes: receiving image data from an image data collection system associated with an autonomous vehicle; performing an operational phase comprising extracting roadway lane marking features from the image data, causing a plurality of trained tasks to execute concurrently to generate instance-level lane detection results based on the image data, the plurality of trained tasks having been individually trained with different features of training image data received from a training image data collection system and corresponding ground truth data, the training image data and the ground truth data comprising data collected from real-world traffic scenarios; causing the plurality of trained tasks to generate task-specific predictions of feature characteristics based on the image data and to generate corresponding instance-level lane detection results; and providing the instance-level lane detection results to an autonomous vehicle subsystem of the autonomous vehicle.
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公开(公告)号：US20240320987A1
公开(公告)日：2024-09-26
申请号：US18598384
申请日：2024-03-07
Applicant: TuSimple, Inc.
Inventor： Haiping WU , Long SHA , Hongyuan DU , Zilong GUO , Yihe TANG , Tingyu MAO , Pengfei CHEN , Panqu WANG , Rundong GE
CPC classification number: G06V20/584 , G06T7/12 , G06T7/13 , G06T7/50 , G06T7/70 , G06V10/25 , G06T2207/30196 , G06V2201/07
Abstract: Techniques are described for performing an image processing technique on frames of a camera located on or in a vehicle. An example technique includes receiving, by a computer located in a vehicle, a first image frame from a camera located on or in the vehicle; obtaining a first combined set of information by combining a first set of information about an object detected from the first image frame and a second set of information about a set of objects detected from a second image frame, where the set of objects includes the object; obtaining, by using the first combined set of information, a second combined set of information about the object from the first image frame and from the second image frame; and causing the vehicle to perform a driving related operation in response to determining a characteristic of the object using the second combined set of information.
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公开(公告)号：US20240311954A1
公开(公告)日：2024-09-19
申请号：US18437734
申请日：2024-02-09
Applicant: TUSIMPLE, INC.
Inventor： Zhipeng YAN , Pengfei CHEN , Panqu WANG
CPC classification number: G06T3/047 , G05D1/249 , G06T5/20 , G06T5/80 , G06T2207/30252
Abstract: A system and method for fisheye image processing can be configured to: receive fisheye image data from at least one fisheye lens camera associated with an autonomous vehicle, the fisheye image data representing at least one fisheye image frame; partition the fisheye image frame into a plurality of image portions representing portions of the fisheye image frame; warp each of the plurality of image portions to map an arc of a camera projected view into a line corresponding to a mapped target view, the mapped target view being generally orthogonal to a line between a camera center and a center of the arc of the camera projected view; combine the plurality of warped image portions to form a combined resulting fisheye image data set representing recovered or distortion-reduced fisheye image data corresponding to the fisheye image frame; generate auto-calibration data representing a correspondence between pixels in the at least one fisheye image frame and corresponding pixels in the combined resulting fisheye image data set; and provide the combined resulting fisheye image data set as an output for other autonomous vehicle subsystems.
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Patent Agency Ranking
公开(公告)号：US20210256664A1
公开(公告)日：2021-08-19
申请号：US17308911
申请日：2021-05-05
Applicant: TUSIMPLE, INC.
Inventor： Pengfei CHEN , Nan YU , Naiyan WANG , Xiaodi HOU
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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公开(公告)号：US20200265244A1
公开(公告)日：2020-08-20
申请号：US16867472
申请日：2020-05-05
Applicant: TUSIMPLE, INC.
Inventor： Zehua HUANG , Pengfei CHEN , Panqu WANG
Abstract: A system and method for semantic segmentation using hybrid dilated convolution (HDC) are disclosed. A particular embodiment includes: receiving an input image; producing a feature map from the input image; performing a convolution operation on the feature map and producing multiple convolution layers; grouping the multiple convolution layers into a plurality of groups; applying different dilation rates for different convolution layers in a single group of the plurality of groups; and applying a same dilation rate setting across all groups of the plurality of groups.
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公开(公告)号：US20200160067A1
公开(公告)日：2020-05-21
申请号：US16752632
申请日：2020-01-25
Applicant: TuSimple, Inc.
Inventor： Zehua HUANG , Pengfei CHEN , Panqu WANG , Ke XU
Abstract: A system and method for image localization based on semantic segmentation are disclosed. A particular embodiment includes: receiving image data from an image generating device mounted on an autonomous vehicle; performing semantic segmentation or other object detection on the received image data to identify and label objects in the image data and produce semantic label image data; identifying extraneous objects in the semantic label image data; removing the extraneous objects from the semantic label image data; comparing the semantic label image data to a baseline semantic label map; and determining a vehicle location of the autonomous vehicle based on information in a matching baseline semantic label map.
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公开(公告)号：US20240320990A1
公开(公告)日：2024-09-26
申请号：US18598715
申请日：2024-03-07
Applicant: TuSimple, Inc.
Inventor： Rundong GE , Long SHA , Haiping WU , Xiangchen ZHAO , Fangjun ZHANG , Zilong GUO , Hongyuan DU , Pengfei CHEN , Panqu WANG
CPC classification number: G06V20/588 , B60W10/20 , G06T7/20 , G06V10/54 , G06V10/56 , G06V10/751 , G06V20/584
Abstract: Techniques are described for performing an image processing on frames of a camera located on or in a vehicle. An example technique includes receiving, by a computer located in a vehicle, a first image and a second image from a camera; determining a first set of characteristics about a first set of pixels in the first image and a second set of characteristics about a second set of pixels in the second image; obtaining a motion information for each pixel in the second set by comparing the second set of characteristics with the first set of characteristics; generating, using the motion information for each pixel in the second set, a combined set of characteristics; determining attributes of a road using at least some of the combined set of characteristics; and causing the vehicle to perform a driving related operation in response to the determining the attributes of the road.
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公开(公告)号：US20230351556A1
公开(公告)日：2023-11-02
申请号：US18344577
申请日：2023-06-29
Applicant: TUSIMPLE, INC. , BEIJING TUSEN WEILAI TECHNOLOGY CO., LTD.
Inventor： Pengfei CHEN , Nan YU , Naiyan WANG , Xiaodi HOU
CPC classification number: G06T5/002 , G06T5/009 , G06T5/004 , B60W40/02 , H04N25/13 , B60W2420/42 , G06T2207/10024
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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