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公开(公告)号：US20250042369A1
公开(公告)日：2025-02-06
申请号：US18486874
申请日：2023-10-13
Applicant: TuSimple, Inc.
Inventor： Yizhe ZHAO , Zhe CHEN , Lingting GE , Panqu WANG
Abstract: Techniques are described for determining a set of pose information for an object when multiple sets of pose information are determined for a same object from multiple images. An example driving operation method includes obtaining, by a computer located in a vehicle, at least two sets of pose information related to an object located on a road on which the vehicle is operating, where each set of pose information includes characteristic(s) about the object, and where each set of pose information is determined from an image obtained by a camera; determining at least two weighted output vectors; determining, for the object, a set of pose information that are based on a combined weighted output vector that is obtained by combining the at least two weighted output vectors; and causing the vehicle to perform a driving-related operation using the set of pose information for the object.
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公开(公告)号：US20240346815A1
公开(公告)日：2024-10-17
申请号：US18638289
申请日：2024-04-17
Applicant: TuSimple, Inc.
Inventor： Panqu WANG , Pengfei CHEN
IPC: G06V10/82 , G06F18/2413 , G06T7/194 , G06V10/20 , G06V10/44 , G06V10/764 , G06V20/56 , G06V20/58
CPC classification number: G06V10/82 , G06F18/24133 , G06T7/194 , G06V10/255 , G06V10/454 , G06V10/764 , G06V20/56 , G06V20/58 , G06T2207/20081 , G06T2207/30252
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.
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43.发明公开公开(公告)号：US20240320988A1
公开(公告)日：2024-09-26
申请号：US18599015
申请日：2024-03-07
Applicant: TuSimple, Inc.
Inventor： Long SHA , Lezhou FENG , Pengfei CHEN , Panqu WANG
CPC classification number: G06V20/584 , G06T7/90 , G06V10/25 , G06V10/44 , G06V10/60 , G06V10/806 , G06T2207/20132 , G06V2201/07
Abstract: Techniques are described for performing image processing on images of cameras located on or in a vehicle. An example technique includes receiving a first set of images obtained by a first camera and a second set of images obtained by a second camera; determining, for each image in the first set, a first set of features of a first object; determining, for each image in the second set, a second set of features of a second object; obtaining a third set of features of an object by combining the first set of features and the second set of features; obtaining a fourth set of features of the object by including one or more features of a light signal of the object; determining characteristic(s) indicated by the light signal; and causing a vehicle to perform a driving related operation based on the characteristic(s) of the object.
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公开(公告)号：US20240104382A1
公开(公告)日：2024-03-28
申请号：US18536677
申请日：2023-12-12
Applicant: TuSimple, Inc.
Inventor： Tian LI , Panqu WANG , Pengfei CHEN
IPC: G06N3/08 , G06F18/21 , G06F18/214 , G06F18/2413 , G06N3/045 , G06N20/00 , G06V10/44 , G06V10/764 , G06V20/56
CPC classification number: G06N3/08 , G06F18/214 , G06F18/2178 , G06F18/24143 , G06N3/045 , G06N20/00 , G06V10/454 , G06V10/764 , G06V20/588
Abstract: A system and method for instance-level roadway feature 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; extracting roadway features from the image data, causing a plurality of trained tasks to generate instance-level roadway feature 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 roadway feature detection results; and providing the instance-level roadway feature detection results to an autonomous vehicle subsystem of the autonomous vehicle to control operation of the autonomous vehicle based on the instance-level roadway feature detection results.
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公开(公告)号：US20240046489A1
公开(公告)日：2024-02-08
申请号：US18489250
申请日：2023-10-18
Applicant: TUSIMPLE, INC.
Inventor： Lingting GE , Pengfei CHEN , Panqu WANG
CPC classification number: G06T7/277 , G06N3/08 , G06N3/04 , G06T7/248 , G06T7/74 , G06V20/58 , G06V10/764 , G06V10/82 , B60Y2400/3015 , G06T2207/30248 , G06V10/62
Abstract: A system and method for online real-time multi-object tracking is disclosed. A particular embodiment can be configured to: receive image frame data from at least one camera associated with an autonomous vehicle; generate similarity data corresponding to a similarity between object data in a previous image frame compared with object detection results from a current image frame; use the similarity data to generate data association results corresponding to a best matching between the object data in the previous image frame and the object detection results from the current image frame; cause state transitions in finite state machines for each object according to the data association results; and provide as an output object tracking output data corresponding to the states of the finite state machines for each object.
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Patent Agency Ranking
公开(公告)号：US20230406297A1
公开(公告)日：2023-12-21
申请号：US18241576
申请日：2023-09-01
Applicant: TuSimple, Inc.
Inventor： Hongkai YU , Zhipeng YAN , Panqu WANG , Pengfei CHEN
IPC: B60W30/095 , G06V20/56 , G06V10/44 , G06V20/58 , G06F18/24 , G06F18/214 , G06F18/2413 , G06V10/25 , G06V10/774 , G06V10/70
CPC classification number: B60W30/0956 , G06V20/56 , G06V10/44 , G06V20/58 , G06F18/24 , G06F18/2155 , G06F18/2413 , G06V10/25 , G06V10/7753 , G06V10/87 , 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.
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公开(公告)号：US20230222916A1
公开(公告)日：2023-07-13
申请号：US18121117
申请日：2023-03-14
Applicant: TUSIMPLE, INC.
Inventor： Zhipeng YAN , Lingting GE , Pengfei CHEN , Panqu WANG
CPC classification number: G06T7/73 , G06V20/56 , G06V10/443 , G06T2207/30248
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：US20230064192A1
公开(公告)日：2023-03-02
申请号：US17983129
申请日：2022-11-08
Applicant: TuSimple, Inc.
Inventor： Panqu WANG , Pengfei CHEN
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.
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公开(公告)号：US20220215672A1
公开(公告)日：2022-07-07
申请号：US17656415
申请日：2022-03-24
Applicant: TUSIMPLE, INC.
Inventor： Lingting GE , Pengfei CHEN , Panqu WANG
Abstract: A system and method for online real-time multi-object tracking is disclosed. A particular embodiment can be configured to: receive image frame data from at least one camera associated with an autonomous vehicle; generate similarity data corresponding to a similarity between object data in a previous image frame compared with object detection results from a current image frame; use the similarity data to generate data association results corresponding to a best matching between the object data in the previous image frame and the object detection results from the current image frame; cause state transitions in finite state machines for each object according to the data association results; and provide as an output object tracking output data corresponding to the states of the finite state machines for each object.
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公开(公告)号：US20210056325A1
公开(公告)日：2021-02-25
申请号：US17090713
申请日：2020-11-05
Applicant: TUSIMPLE, INC.
Inventor： Panqu WANG
Abstract: A system and method for three-dimensional (3D) object detection is disclosed. A particular embodiment can be configured to: receive image data from a camera associated with a vehicle, the image data representing an image frame; use a machine learning module to determine at least one pixel coordinate of a two-dimensional (2D) bounding box around an object in the image frame; use the machine learning module to determine at least one vertex of a three-dimensional (3D) bounding box around the object; obtain camera calibration information associated with the camera; and determine 3D attributes of the object using the 3D bounding box and the camera calibration information.
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