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公开(公告)号:US20220155776A1
公开(公告)日:2022-05-19
申请号:US16953089
申请日:2020-11-19
Applicant: TUSIMPLE, INC.
Inventor: Chenzhe QIAN , Chenghao GONG , Fuheng DENG
IPC: G05D1/00 , G01C25/00 , G01S17/931 , G01S7/497 , G01S13/86
Abstract: Technique for performing multi-sensor collaborative calibration on a vehicle is disclosed. A method includes obtaining, from at least two sensors located on a vehicle, sensor data items of an area that comprises a plurality of calibration objects; determining, from the sensor data items, attributes of the plurality of calibration objects; determining, for the at least two sensors, an initial matrix that describes a first set of extrinsic parameters between the at least two sensors based at least on the attributes of the plurality of calibration objects; determining an updated matrix that describes a second set of extrinsic parameters between the at least two sensors based at least on the initial matrix and a location of at least one calibration object; and performing autonomous operation of the vehicle using the second set of extrinsic parameters and additional sensor data received from the at least two sensors.
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公开(公告)号:US20240241515A1
公开(公告)日:2024-07-18
申请号:US18621904
申请日:2024-03-29
Applicant: TUSIMPLE, INC.
Inventor: Chenzhe QIAN , Chenghao GONG , Fuheng DENG
IPC: G05D1/00 , G01C25/00 , G01S7/497 , G01S13/86 , G01S17/931
CPC classification number: G05D1/0011 , G01C25/005 , G01S7/497 , G01S13/865 , G01S17/931
Abstract: Technique for performing multi-sensor collaborative calibration on a vehicle is disclosed. A method includes obtaining, from at least two sensors located on a vehicle, sensor data items of an area that comprises a plurality of calibration objects; determining, from the sensor data items, attributes of the plurality of calibration objects; determining, for the at least two sensors, an initial matrix that describes a first set of extrinsic parameters between the at least two sensors based at least on the attributes of the plurality of calibration objects; determining an updated matrix that describes a second set of extrinsic parameters between the at least two sensors based at least on the initial matrix and a location of at least one calibration object; and performing autonomous operation of the vehicle using the second set of extrinsic parameters and additional sensor data received from the at least two sensors.
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公开(公告)号:US20230356734A1
公开(公告)日:2023-11-09
申请号:US18349783
申请日:2023-07-10
Applicant: TUSIMPLE, INC.
Inventor: Shane David GRIFFITH , Chenghao GONG , Chenzhe QIAN
CPC classification number: B60W50/06 , G06T7/85 , G01S19/42 , B60W60/001 , G06V20/588 , B60W2552/53 , G06T2207/30256 , B60W2420/42
Abstract: Techniques for performing a sensor calibration using sequential data is disclosed. An example method includes receiving, from a first camera located on a vehicle, a first image comprising at least a portion of a road comprising lane markers, where the first image is obtained by the camera at a first time; obtaining a calculated value of a position of an inertial measurement (IM) device at the first time; obtaining an optimized first extrinsic matrix of the first camera by adjusting a function of a first actual pixel location of a location of a lane marker in the first image and an expected pixel location of the location of the lane marker; and performing autonomous operation of the vehicle using the optimized first extrinsic matrix of the first camera when the vehicle is operated on another road or at another time.
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公开(公告)号:US20220227380A1
公开(公告)日:2022-07-21
申请号:US17150271
申请日:2021-01-15
Applicant: TUSIMPLE, INC.
Inventor: Shane David GRIFFITH , Chenghao GONG , Chenzhe QIAN
Abstract: Techniques for performing a sensor calibration using sequential data is disclosed. An example method includes receiving, from a first camera located on a vehicle, a first image comprising at least a portion of a road comprising lane markers, where the first image is obtained by the camera at a first time; obtaining a calculated value of a position of an inertial measurement (IM) device at the first time; obtaining an optimized first extrinsic matrix of the first camera by adjusting a function of a first actual pixel location of a location of a lane marker in the first image and an expected pixel location of the location of the lane marker; and performing autonomous operation of the vehicle using the optimized first extrinsic matrix of the first camera when the vehicle is operated on another road or at another time.
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