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11.发明授权公开(公告)号：US10268205B2
公开(公告)日：2019-04-23
申请号：US15703896
申请日：2017-09-13
Applicant: TUSIMPLE
Inventor： Wentao Zhu , Yi Wang , Yi Luo
Abstract: A method of visual odometry 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, causes the computing device to perform the following steps comprising: in response to images in pairs, generating a prediction of static scene optical flow for each pair of the images in a visual odometry model; generating a set of motion parameters for each pair of the images in the visual odometry model; training the visual odometry model by using the prediction of static scene optical flow and the motion parameters; and predicting motion between a pair of consecutive image frames by the trained visual odometry model.
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12.发明授权公开(公告)号：US10671083B2
公开(公告)日：2020-06-02
申请号：US15703879
申请日：2017-09-13
Applicant: TuSimple, Inc.
Inventor： Wentao Zhu , Yi Wang , Yi Luo
IPC: G05D1/02 , G06K9/46 , G01C21/32 , G06K9/62 , G06T7/246 , G01C21/16 , G01S17/89 , G06N5/02 , G06N20/00 , G06T7/269 , G01C22/00 , G01S17/42 , G01S7/48 , G01S17/86
Abstract: A system for visual odometry is disclosed. The system includes: an internet server, comprising: an I/O port, configured to transmit and receive electrical signals to and from a client device; a memory; one or more processing units; and one or more programs stored in the memory and configured for execution by the one or more processing units, the one or more programs including instructions for: extracting representative features from a pair input images in a first convolution neural network (CNN) in a visual odometry model; merging, in a first merge module, outputs from the first CNN; decreasing feature map size in a second CNN; generating a first flow output for each layer in a first deconvolution neural network (DNN); merging, in a second merge module, outputs from the second CNN and the first DNN; generating a second flow output for each layer in a second DNN; and reducing accumulated errors in a recurrent neural network (RNN).
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公开(公告)号：US10565457B2
公开(公告)日：2020-02-18
申请号：US15684389
申请日：2017-08-23
Applicant: TUSIMPLE, INC.
Abstract: A method of localization for a non-transitory computer readable storage medium storing one or more programs is disclosed. The one or more programs comprise instructions, which when executed by a computing device, cause the computing device to perform by one or more autonomous vehicle driving modules execution of processing of images from a camera and data from a LiDAR using the following steps comprising: computing, in response to features from a 3D submap and features from a global map, matching score between corresponding features of a same class between the 3D submap and the global map; selecting, for each feature in the 3D submap, a corresponding feature with the highest matching score from the global map; determining a feature correspondence to be invalid if a distance between corresponding features is larger than a threshold; and removing the invalid feature correspondence.
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Patent Agency Ranking
公开(公告)号：US11846510B2
公开(公告)日：2023-12-19
申请号：US17477406
申请日：2021-09-16
Applicant: TUSIMPLE, INC.
IPC: G06V10/75 , G01C21/16 , G01S17/89 , G01S17/86 , G01S17/931 , G06V20/56 , G06F18/24 , G06F18/2415 , G06V10/764 , G06T17/05
CPC classification number: G01C21/1656 , G01C21/1652 , G01S17/86 , G01S17/89 , G01S17/931 , G06F18/24 , G06F18/2415 , G06V10/757 , G06V10/764 , G06V20/56 , G06T17/05
Abstract: A system is disclosed including at least one memory including computer program instructions, which when executed by at least one processor, cause the system to at least generate, based on a plurality of images from a camera, a first map including a first plurality of features; generate, based on data from a light ranging sensor, a second map including a second plurality of features; and determine, based on a comparison of the first plurality of features and the second plurality of features, a position of the first map relative to the second map. A corresponding method and non-transitory computer-readable medium are also provided.
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公开(公告)号：US11783598B2
公开(公告)日：2023-10-10
申请号：US17457885
申请日：2021-12-06
Applicant: TuSimple, Inc.
Inventor： Yi Luo , Xiaoling Han , Xue Mei
CPC classification number: G06V20/588 , G01S17/42 , G01S17/931 , G06T7/73 , G08G1/167 , B60R1/002 , G06T2207/30204 , G06T2207/30256
Abstract: Systems and methods for detecting trailer angle are provided. In one aspect, an in-vehicle control system includes an optical sensor configured to be mounted on a tractor so as to face a trailer coupled to the tractor, the optical sensor further configured to generate optical data indicative of an angle formed between the trailer and the tractor. The system further includes a processor and a computer-readable memory in communication with the processor and having stored thereon computer-executable instructions to cause the processor to receive the optical data from the optical sensor, determine at least one candidate plane representative of a surface of the trailer visible in the optical data based on the optical data, and determine an angle between the trailer and the tractor based on the at least one candidate plane.
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公开(公告)号：US11200430B2
公开(公告)日：2021-12-14
申请号：US16181020
申请日：2018-11-05
Applicant: TuSimple, Inc.
Inventor： Yi Luo , Xiaoling Han , Xue Mei
Abstract: Systems and methods for detecting trailer angle are provided. In one aspect, an in-vehicle control system includes an optical sensor configured to be mounted on a tractor so as to face a trailer coupled to the tractor, the optical sensor further configured to generate optical data indicative of an angle formed between the trailer and the tractor. The system further includes a processor and a computer-readable memory in communication with the processor and having stored thereon computer-executable instructions to cause the processor to receive the optical data from the optical sensor, determine at least one candidate plane representative of a surface of the trailer visible in the optical data based on the optical data, and determine an angle between the trailer and the tractor based on the at least one candidate plane.
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公开(公告)号：US10223807B1
公开(公告)日：2019-03-05
申请号：US15684414
申请日：2017-08-23
Applicant: TUSIMPLE
Abstract: A method of localization for a non-transitory computer readable storage medium storing one or more programs is disclosed. The one or more programs comprise instructions, which when executed by a computing device, cause the computing device to perform utilizing one or more autonomous vehicle driving modules that execute processing of images from a camera and data from a LiDAR the following steps comprising: aligning a 3D submap with a global map; extracting features from the 3D submap and the global map; classifying the extracted features in classes; and establishing correspondence of features in a same class between the 3D submap and the global map.
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18.发明授权公开(公告)号：US10223806B1
公开(公告)日：2019-03-05
申请号：US15684339
申请日：2017-08-23
Applicant: TUSIMPLE
Abstract: A method of localization for a non-transitory computer readable storage medium storing one or more programs is disclosed. The one or more programs comprise instructions, which when executed by a computing device, cause the computing device to perform by one or more autonomous vehicle driving modules execution of processing of images from a camera and data from a LiDAR using the following steps comprising: constructing a 3D submap and a global map; extracting features from the 3D submap and the global map; matching features extracted from the 3D submap against features extracted from the global map; refining feature correspondence; and refining location of the 3D submap.
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