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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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12.
公开(公告)号:US20230177847A1
公开(公告)日:2023-06-08
申请号:US18102559
申请日:2023-01-27
Applicant: TuSimple, Inc.
Inventor: Xue MEI , Xiaodi HOU , Dazhou GUO , Yujie WEI
IPC: G06V20/56 , B60R11/04 , G07C5/00 , G01S17/42 , G06N3/02 , G06T7/10 , G06T7/246 , G06T5/50 , G06N3/08 , G01C21/00 , G06N3/045
CPC classification number: G06V20/588 , B60R11/04 , G07C5/008 , G01S17/42 , G06N3/02 , G06T7/10 , G06T7/246 , G06T5/50 , G06N3/08 , G01C21/3833 , G01C21/3867 , G01C21/3826 , G06N3/045 , G06T2207/20221 , G06T2207/10024 , G06T2207/10028 , G06T2207/30256
Abstract: A system and method for large-scale lane marking detection using multimodal sensor data are disclosed. A particular embodiment includes: receiving image data from an image generating device mounted on a vehicle; receiving point cloud data from a distance and intensity measuring device mounted on the vehicle; fusing the image data and the point cloud data to produce a set of lane marking points in three-dimensional (3D) space that correlate to the image data and the point cloud data; and generating a lane marking map from the set of lane marking points.
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公开(公告)号:US20210403050A1
公开(公告)日:2021-12-30
申请号:US17359007
申请日:2021-06-25
Applicant: TUSIMPLE, INC.
Inventor: Yiqian GAN , Yijie WANG , Xiaodi HOU , Lingting GE
Abstract: Autonomous vehicles must accommodate various road configurations such as straight roads, curved roads, controlled intersections, uncontrolled intersections, and many others. Autonomous driving systems must make decisions about the speed and distance of traffic and about obstacles including obstacles that obstruct the view of the autonomous vehicle's sensors. For example, at intersections, the autonomous driving system must identify vehicles in the path of the autonomous vehicle or potentially in the path based on a planned path, estimate the distance to those vehicles, and estimate the speeds of those vehicles. Then, based on those and the road configuration and environmental conditions, the autonomous driving system must decide whether it is safe to proceed along the planned path or not, and when it is safe to proceed.
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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: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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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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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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19.
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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公开(公告)号:US20200339145A1
公开(公告)日:2020-10-29
申请号:US16854848
申请日:2020-04-21
Applicant: TuSimple, Inc.
Inventor: Cheng ZHANG , Xiaodi HOU , Sven KRATZ
Abstract: Disclosed are devices, systems and methods for an audio assistant in an autonomous or semi-autonomous vehicle. In one aspect the informational audio assistant receives a first set of data from a vehicle sensor and identifies an object or condition using the data from the vehicle sensor. Audio is generated representative of a perceived danger of an object or condition. A second set of data from the vehicle sensor subsystem is received and the informational audio assistant determines whether an increased danger exists based on a comparison of the first set of data to the second set of data. The informational audio assistant will apply a sound profile to the generated audio based on the increased danger.
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