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公开(公告)号:US20250046075A1
公开(公告)日:2025-02-06
申请号:US18518156
申请日:2023-11-22
Applicant: TuSimple, Inc.
Inventor: Long SHA , Junliang ZHANG , Rundong GE , Xiangchen ZHAO , Fangjun ZHANG , Yizhe ZHAO , Panqu WANG
IPC: G06V10/98 , B60W50/02 , B60W50/029 , B60W60/00 , G06V10/26 , G06V10/28 , G06V10/48 , G06V10/75 , G06V20/56
Abstract: A unified framework for detecting perception anomalies in autonomous driving systems is described. The perception anomaly detection framework takes an input image from a camera in or on a vehicle and identifies anomalies as belonging to one of three categories. Lens anomalies are associated with poor sensor conditions, such as water, dirt, or overexposure. Environment anomalies are associated with unfamiliar changes to an environment. Finally, object anomalies are associated with unknown objects. After perception anomalies are detected, the results are sent downstream to cause a behavior change of the vehicle.
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公开(公告)号:US20240265710A1
公开(公告)日:2024-08-08
申请号:US18475647
申请日:2023-09-27
Applicant: TuSimple, Inc.
Inventor: Zhe CHEN , Yizhe ZHAO , Lingting GE , Panqu WANG
CPC classification number: G06V20/58 , B60W60/001 , G06T7/248 , G06T7/74 , G06V10/776 , G06V10/87 , B60W2420/403 , B60W2552/15 , B60W2556/40 , B60W2720/10 , G06T2207/30252
Abstract: The present disclosure provides methods and systems for operating an autonomous vehicle. In some embodiments, the system may obtain, by a camera associated with an autonomous vehicle, an image of an environment of the autonomous vehicle, the environment including a road on which the autonomous vehicle is operating and an occlusion on the road. The system may identify the occlusion in the image based on map information of the environment and at least one camera parameter of the camera for obtaining the image. The system may identify an object represented in the image, and determine a confidence score relating to the object. The confidence score may indicate a likelihood a representation of the object in the image is impacted by the occlusion. The system may determine an operation algorithm based on the confidence score; and cause the autonomous vehicle to operate based on the operation algorithm.
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公开(公告)号:US20250050913A1
公开(公告)日:2025-02-13
申请号:US18486809
申请日:2023-10-13
Applicant: TuSimple, Inc.
Inventor: Zhe CHEN , Lingting GE , Joshua Miguel RODRIGUEZ , Ji HAN , Panqu WANG , Junjun XIN , Xiaoling HAN , Yizhe ZHAO
IPC: B60W60/00
Abstract: Techniques are described for operating a vehicle using sensor data provided by one or more ultrasonic sensors located on or in the vehicle. An example method includes receiving, by a computer located in a vehicle, data from an ultrasonic sensor located on the vehicle, where the data includes a first set of coordinates of two points associated with a location where an object is detected by the ultrasonic sensor; determining a second set of coordinates associated with a point in between the two points; performing a first determination that the second set of coordinates is associated with a lane or a road on which the vehicle is operating; performing a second determination that the object is movable; and sending, in response to the first determination and the second determination, a message that causes the vehicle to perform a driving related operation while the vehicle is operating on the road.
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公开(公告)号:US20250029274A1
公开(公告)日:2025-01-23
申请号:US18488657
申请日:2023-10-17
Applicant: TuSimple, Inc.
Inventor: Yizhe ZHAO , Zhe CHEN , Ye FAN , Lingting GE , Zhe HUANG , Panqu WANG , Xue MEI
Abstract: The present disclosure provides methods and systems of sampling-based object pose determination. An example method includes obtaining, for a time frame, sensor data of the object acquired by a plurality of sensors; generating a two-dimensional bounding box of the object in a projection plane based on the sensor data of the time frame; generating a three-dimensional pose model of the object based on the sensor data of the time frame and a model reconstruction algorithm; generating, based on the sensor data, the pose model, and multiple sampling techniques, a plurality of pose hypotheses of the object corresponding to the time frame, generating a hypothesis projection of the object for each of the pose hypotheses by projecting the pose hypothesis onto the projection plane; determining evaluation results by comparing the hypothesis projections with the bounding box; and determining, based on the evaluation results, an object pose for the time frame.
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公开(公告)号:US20240203135A1
公开(公告)日:2024-06-20
申请号:US18474812
申请日:2023-09-26
Applicant: TuSimple, Inc.
Inventor: Yizhe ZHAO , Lingting GE , Panqu WANG
CPC classification number: G06V20/588 , B60W60/001 , G06T7/12 , G06T7/74 , G06T15/00 , G06V20/70 , G08G1/167 , B60W2420/42 , B60W2520/10 , B60W2552/10 , B60W2552/15 , B60W2555/60 , B60W2556/40 , B60W2710/18 , B60W2710/20 , G06T2207/30256
Abstract: Techniques are described for autonomous driving operation that includes receiving, by a computer located in a vehicle, an image from a camera located on the vehicle while the vehicle is operating on a road, wherein the image includes a plurality of lanes of the road; for each of the plurality of lanes: obtaining, from a map database stored in the computer, a set of values that describe locations of boundaries of a lane; dividing the lane into a plurality of polygons; rendering the plurality of polygons onto the image; and determining identifiers of lane segments of the lane; determining one or more characteristics of a lane segment on which the vehicle is operating based on an identifier of the lane segment; and causing the vehicle to perform a driving related operation in response to the one or more characteristics of the lane segment on which the vehicle is operating.
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公开(公告)号:US20250085115A1
公开(公告)日:2025-03-13
申请号:US18501362
申请日:2023-11-03
Applicant: TuSimple, Inc.
Inventor: Hao XIAO , Yiqian GAN , Ethan ZHANG , Xin YE , Yizhe ZHAO , Zhe HUANG , Lingting GE , Robert August ROSSI, JR.
IPC: G01C21/30
Abstract: A computer-implemented method of trajectory prediction includes obtaining a first cross-attention between a vectorized representation of a road map near a vehicle and information obtained from a rasterized representation of an environment near the vehicle by processing through a first cross-attention stage; obtaining a second cross-attention between a vectorized representation of a vehicle history and information obtained from the rasterized representation by processing through a second cross-attention stage; operating a scene encoder on the first cross-attention and the second cross-attention; operating a trajectory decoder on an output of the scene encoder; obtaining one or more trajectory predictions by performing one or more queries on the trajectory decoder.
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公开(公告)号:US20250074463A1
公开(公告)日:2025-03-06
申请号:US18434630
申请日:2024-02-06
Applicant: TuSimple, Inc.
Inventor: Ethan ZHANG , Hao XIAO , Yiqian GAN , Yizhe ZHAO , Zhe HUANG , Lingting GE
IPC: B60W60/00 , B60W30/18 , B60W50/00 , G06N3/0442 , G06N3/0464
Abstract: A method of predicting vehicle trajectory includes operating a scene encoder on an environmental representation surrounding a vehicle; concatenating an output of the scene encoder with a history trajectory; applying a sequence encoder to a result of the concatenating; refining an output of the sequence encoder based on the history trajectory; and generating one or more predicted future trajectories by operating a decoder on an output of the refining.
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公开(公告)号:US20250054286A1
公开(公告)日:2025-02-13
申请号:US18475988
申请日:2023-09-27
Applicant: TuSimple, Inc.
Inventor: Zhe HUANG , Lingting GE , Yizhe ZHAO
Abstract: An image processing method includes performing, using images obtained from one or more sensors onboard a vehicle, a 2-dimensional (2D) feature extraction; performing, a 3-dimensional (3D) feature extraction on the images; detecting objects in the images by fusing detection results from the 2D feature extraction and the 3D feature extraction.
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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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