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公开(公告)号:US20230391340A1
公开(公告)日:2023-12-07
申请号:US18205944
申请日:2023-06-05
Applicant: TUSIMPLE, INC.
Inventor: Wutu LIN , Xiaodi HOU
IPC: B60W40/04 , G01S13/931 , G01C21/20 , G05D1/02 , G05D1/00 , G01S17/931
CPC classification number: B60W40/04 , G01S13/931 , G01C21/20 , G05D1/0214 , G05D1/0088 , G01S17/931 , G01S13/865
Abstract: A system and method for path planning of autonomous vehicles based on gradient are disclosed. A particular embodiment includes: executing a path planning module by use of a data processor; receiving, from a remote data source by use of the data processor, ancillary data to modify operation of the path planning module based on a context in which an autonomous vehicle is operating; generating, by use of the data processor, a trajectory comprising a plurality of waypoints; and causing the autonomous vehicle to follow a path conforming to the plurality of waypoints.
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公开(公告)号:US20230334696A1
公开(公告)日:2023-10-19
申请号:US18339940
申请日:2023-06-22
Applicant: TUSIMPLE, INC.
Inventor: Yijie WANG , Lingting GE , Yiqian GAN , Xiaodi HOU
CPC classification number: G06T7/74 , G06T7/337 , G06T2207/30184 , G06T2207/30252
Abstract: Techniques are described to estimate orientation of one or more cameras located on a vehicle. The orientation estimation technique can include obtaining an image from a camera located on a vehicle while the vehicle is being driven on a road, determining, from a terrain map, a location of a landmark located at a distance from a location of the vehicle on the road, determining, in the image, pixel locations of the landmark, selecting one pixel location from the determined pixel locations; and calculating values that describe an orientation of the camera using at least an intrinsic matrix and a previously known extrinsic matrix of the camera, where the intrinsic matrix is characterized based on at least the one pixel location and the location of the landmark.
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33.
公开(公告)号:US20230162510A1
公开(公告)日:2023-05-25
申请号:US18090217
申请日:2022-12-28
Applicant: TuSimple, Inc.
Inventor: Chenyang LI , Xiaodi HOU , Siyuan LIU
CPC classification number: G06V20/58 , G01S17/58 , G01S17/66 , G01S17/08 , G01S17/88 , G01S7/4808 , G01S17/86 , G01S17/931 , G08G1/166
Abstract: A vehicle position and velocity estimation system based on camera and LIDAR data is disclosed. An embodiment includes: receiving input object data from a subsystem of a vehicle, the input object data including image data from an image generating device and distance data from a distance measuring device, the distance measuring device comprising one or more LIDAR sensors; determining a first position of a proximate object near the vehicle from the image data; determining a second position of the proximate object from the distance data; correlating the first position and the second position by matching the first position of the proximate object detected in the image data with the second position of the same proximate object detected in the distance data; determining a three-dimensional (3D) position of the proximate object using the correlated first and second positions; and using the 3D position of the proximate object to navigate the vehicle.
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34.
公开(公告)号:US20230160712A1
公开(公告)日:2023-05-25
申请号:US18158974
申请日:2023-01-24
Applicant: TuSimple, Inc.
Inventor: Siyuan LIU , Mingdong WANG , Xiaodi HOU
CPC classification number: G01C21/3658 , G06V20/588 , G01S17/89
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:US20220076446A1
公开(公告)日:2022-03-10
申请号:US17531447
申请日:2021-11-19
Applicant: TUSIMPLE, INC.
Inventor: Yijie WANG , Lingting GE , Yiqian GAN , Xiaodi HOU
Abstract: Techniques are described to estimate orientation of one or more cameras located on a vehicle. The orientation estimation technique can include obtaining an image from a camera located on a vehicle while the vehicle is being driven on a road, determining, from a terrain map, a location of a landmark located at a distance from a location of the vehicle on the road, determining, in the image, pixel locations of the landmark, selecting one pixel location from the determined pixel locations; and calculating values that describe an orientation of the camera using at least an intrinsic matrix and a previously known extrinsic matrix of the camera, where the intrinsic matrix is characterized based on at least the one pixel location and the location of the landmark.
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公开(公告)号:US20210406810A1
公开(公告)日:2021-12-30
申请号:US16917699
申请日:2020-06-30
Applicant: TUSIMPLE, INC.
Inventor: Xiaodi HOU , Jason WALLACE , Cheng LU
IPC: G06Q10/08
Abstract: Systems and techniques disclosed in this patent document provide novel and efficient ground transportation of goods by self-driving trucks based on a system of infrastructures with shipping hub facilities serving as warehouses and services centers in accordance with unique characteristics of operating autonomous self-driving trucks without entirely relying on human drivers, including features to cover technological issues, fleet management issues, and customer service issues. In addition, the disclosed systems and techniques may be implemented to integrate other fleet services and modes of transportation of goods with transportation services by self-driving trucks.
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公开(公告)号:US20210319584A1
公开(公告)日:2021-10-14
申请号:US17225396
申请日:2021-04-08
Applicant: TUSIMPLE, INC.
Inventor: Chenzhe QIAN , Yi LUO , Ke XU , Mingdong WANG , Xiaodi HOU
IPC: G06T7/73
Abstract: Techniques are described for estimating pose of a camera located on a vehicle. An exemplary method of estimating camera pose includes obtaining, from a camera located on a vehicle, an image including a lane marker on a road on which the vehicle is driven, and estimating a pose of the camera such that the pose of the camera provides a best match according to a criterion between a first position of the lane marker determined from the image and a second position of the lane marker determined from a stored map of the road.
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公开(公告)号:US20210181351A1
公开(公告)日:2021-06-17
申请号:US16813180
申请日:2020-03-09
Applicant: TUSIMPLE, INC.
Inventor: Lingting GE , Yijie WANG , Yiqian GAN , Jianan HAO , Xiaodi HOU
Abstract: Disclosed are methods and devices related to autonomous driving. In one aspect, a method is disclosed. The method includes determining three-dimensional bounding indicators for one or more first objects in road target information captured by a light detection and ranging (LIDAR) sensor; determining camera bounding indicators for one or more second objects in road image information captured by a camera sensor; processing the road image information to generate a camera matrix; determining projected bounding indicators from the camera matrix and the three-dimensional bounding indicators; determining, from the projected bounding indicators and the camera bounding indicators, associations between the one or more first objects and the one or more second objects to generate combined target information; and applying, by the autonomous driving system, the combined target information to produce a vehicle control signal.
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