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公开(公告)号：US20190286489A1
公开(公告)日：2019-09-19
申请号：US16276084
申请日：2019-02-14
Applicant: TuSimple
Inventor： Yifan GONG , Zehua HUANG , Jiangming JIN , Dinghua LI , Siyuan LIU , Wei LIU , Lei SU , YiXin YANG
Abstract: The present disclosure provides a method, an apparatus and a system for multi-module scheduling, capable of solving the problem associated with inconsistency in data inputted to a computing module in the multi-module scheduling technique in the related art. The method includes: reading, by a master process, a pre-stored configuration file storing a directed computation graph; initializing, by the master process, states of all the nodes and connecting edges in the directed computation graph initially in computation in a current computing period; determining a node to be called based on the computation direction in the directed computation graph and the states of the nodes, the node to be called comprising a node having all of its input edges in a complete state; transmitting, to the computing module in the slave process corresponding to the node to be called, a call request of Remote Process Call (RPC) to execute the computing module; updating the state of the node and the state of each output edge of the node upon receiving a response to the call request; and proceeding with a next computing period upon determining that the states of all the nodes have been updated.
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公开(公告)号：US20250014305A1
公开(公告)日：2025-01-09
申请号：US18891113
申请日：2024-09-20
Applicant: TUSIMPLE, INC.
Inventor： Siyuan LIU , Lingting GE , Chenzhe QIAN , Zehua HUANG , Xiaodi HOU
Abstract: Image processing techniques are described to obtain an image from a camera located on a vehicle while the vehicle is being driven, cropping a portion of the obtained image corresponding to a region of interest, detecting an object in the cropped portion, adding a bounding box around the detected object, determining position(s) of reference point(s) on the bounding box, and determining a location of the detected object in a spatial region where the vehicle is being driven based on the determined one or more positions of the second set of one or more reference points on the bounding box.
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公开(公告)号：US20230326168A1
公开(公告)日：2023-10-12
申请号：US18335785
申请日：2023-06-15
Applicant: TUSIMPLE, INC.
Inventor： Siyuan LIU , Lingting GE , Chenzhe QIAN , Zehua HUANG , Xiaodi HOU
CPC classification number: G06V10/25 , G06T7/11 , G06T7/70 , G06T11/20 , B60W60/0025 , G06V20/584 , G06V20/58 , G06V10/82 , B60W2554/00 , G06T2207/20132 , G06T2210/12 , G06T2207/30252 , G06T2207/30236 , B60W2420/42
Abstract: Image processing techniques are described to obtain an image from a camera located on a vehicle while the vehicle is being driven, cropping a portion of the obtained image corresponding to a region of interest, detecting an object in the cropped portion, adding a bounding box around the detected object, determining position(s) of reference point(s) on the bounding box, and determining a location of the detected object in a spatial region where the vehicle is being driven based on the determined one or more positions of the second set of one or more reference points on the bounding box.
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Patent Agency Ranking
公开(公告)号：US20210397857A1
公开(公告)日：2021-12-23
申请号：US16909950
申请日：2020-06-23
Applicant: TUSIMPLE, INC.
Inventor： Siyuan LIU , Lingting GE , Chenzhe QIAN , Zehua HUANG , Xiaodi HOU
Abstract: Image processing techniques are described to obtain an image from a camera located on a vehicle while the vehicle is being driven, cropping a portion of the obtained image corresponding to a region of interest, detecting an object in the cropped portion, adding a bounding box around the detected object, determining position(s) of reference point(s) on the bounding box, and determining a location of the detected object in a spatial region where the vehicle is being driven based on the determined one or more positions of the second set of one or more reference points on the bounding box.
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公开(公告)号：US20210370932A1
公开(公告)日：2021-12-02
申请号：US17401781
申请日：2021-08-13
Applicant: TUSIMPLE, INC.
Inventor： Zhipeng YAN , Mingdong WANG , Siyuan LIU , Xiaodi HOU
Abstract: A system and method for proximate vehicle intention prediction for autonomous vehicles are disclosed. A particular embodiment is configured to: receive perception data associated with a host vehicle; extract features from the perception data to detect a proximate vehicle in the vicinity of the host vehicle; generate a trajectory of the detected proximate vehicle based on the perception data; use a trained intention prediction model to generate a predicted intention of the detected proximate vehicle based on the perception data and the trajectory of the detected proximate vehicle; use the predicted intention of the detected proximate vehicle to generate a predicted trajectory of the detected proximate vehicle; and output the predicted intention and predicted trajectory for the detected proximate vehicle to another subsystem.
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16.发明申请公开(公告)号：US20210033420A1
公开(公告)日：2021-02-04
申请号：US17074468
申请日：2020-10-19
Applicant: TUSIMPLE, INC.
Inventor： Siyuan LIU , Mingdong WANG , Xiaodi HOU
Abstract: A method of lane detection for a non-transitory computer readable storage medium storing one or more programs is disclosed. The one or more programs include instructions, which when executed by a computing device, cause the computing device to perform the following steps comprising: generating a ground truth associated with lane markings expressed in god's view; receiving features from at least one of a hit-map image and a fitted lane marking, wherein the hit-map image includes a classification of pixels that hit a lane marking, and the fitted lane marking includes pixels optimized based on the hit-map image; and training a confidence module based on the features and the ground truth, the confidence module configured to determine on-line whether a fitted lane marking is reasonable, using parameters that express a lane marking in an arc.
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17.发明申请公开(公告)号：US20200160071A1
公开(公告)日：2020-05-21
申请号：US16752637
申请日：2020-01-25
Applicant: TuSimple, Inc.
Inventor： Chenyang LI , Xiaodi HOU , Siyuan LIU
Abstract: A vehicle position and velocity estimation based on camera and LIDAR data are disclosed. A particular embodiment includes: receiving input object data from a subsystem of an autonomous vehicle, the input object data including image data from an image generating device and distance data from a distance measuring device; determining a two-dimensional (2D) position of a proximate object near the autonomous vehicle using the image data received from the image generating device; tracking a three-dimensional (3D) position of the proximate object using the distance data received from the distance measuring device over a plurality of cycles and generating tracking data; determining a 3D position of the proximate object using the 2D position, the distance data received from the distance measuring device, and the tracking data; determining a velocity of the proximate object using the 3D position and the tracking data; and outputting the 3D position and velocity of the proximate object relative to the autonomous vehicle.
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公开(公告)号：US20190050428A1
公开(公告)日：2019-02-14
申请号：US15672217
申请日：2017-08-08
Applicant: TuSimple
Inventor： Xiaodi HOU , Siyuan LIU , Kai ZHOU
CPC classification number: G06F16/58 , G06F16/583 , G06F17/241 , G06Q30/0283
Abstract: A system and method for implementing an image annotation platform are disclosed. A particular embodiment includes: registering a plurality of labelers to which annotation tasks are assigned; assigning annotation tasks to the plurality of labelers; determining if the annotation tasks can be closed or re-assigned to the plurality of labelers; aggregating annotations provided by the plurality of labelers as a result of the closed annotation tasks; evaluating a level of performance of the plurality of labelers in providing the annotations; and calculating payments for the plurality of labelers based on the quantity and quality of the annotations provided by the plurality of labelers.
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