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公开(公告)号：US20250086802A1
公开(公告)日：2025-03-13
申请号：US18434501
申请日：2024-02-06
Applicant: TuSimple, Inc.
Inventor： Dongqiangzi YE , Zixiang ZHOU , Weijia CHEN , Yufei XIE , Yu WANG , Panqu WANG , Lingting GE
Abstract: A method of processing point cloud information includes converting points in a point cloud obtained from a lidar sensor into a voxel grid, generating, from the voxel grid, sparse voxel features by applying a multi-layer perceptron and one or more max pooling layers that reduce dimension of input data; applying a cascade of an encoder that performs a N-stage sparse-to-dense feature operation, a global context pooling (GCP) module, and an M-stage decoder that performs a dense-to-sparse feature generation operation. The GCP module bridges an output of a last stage of the N-stages with an input of a first stage of the M-stages, where N and M are positive integers. The GCP module comprises a multi-scale feature extractor; and performing one or more perception operations on an output of the M-stage decoder and/or an output of the GCP module.
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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：US20230184931A1
公开(公告)日：2023-06-15
申请号：US17987200
申请日：2022-11-15
Applicant: TuSimple, Inc.
Inventor： Panqu WANG , Lingting GE
IPC: G01S13/931 , G01S13/89 , G01S17/931 , G01S17/89 , G01S13/86
CPC classification number: G01S13/931 , G01S13/89 , G01S17/931 , G01S17/89 , G01S13/865
Abstract: Vehicles can include systems and apparatus for performing signal processing on sensor data from radar(s) and LiDAR(s) located on the vehicles. A method includes obtaining and filtering radar point cloud data of an area in an environment in which a vehicle is operating on a road to obtain filtered radar point cloud data; obtaining a light detection and ranging point cloud data of at least some of the area, where the light detection and ranging point cloud data include information about a bounding box that surrounds an object on the road; determining a set of radar point cloud data that are associated with the bounding box that surrounds the object; and causing the vehicle to operate based on one or more characteristics of the object determined from the set of radar point cloud data.
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公开(公告)号：US20190266420A1
公开(公告)日：2019-08-29
申请号：US15906561
申请日：2018-02-27
Applicant: TuSimple
Inventor： Lingting GE , Pengfei CHEN , Panqu WANG
Abstract: A system and method for online real-time multi-object tracking is disclosed. A particular embodiment can be configured to: receive image frame data from at least one camera associated with an autonomous vehicle; generate similarity data corresponding to a similarity between object data in a previous image frame compared with object detection results from a current image frame; use the similarity data to generate data association results corresponding to a best matching between the object data in the previous image frame and the object detection results from the current image frame; cause state transitions in finite state machines for each object according to the data association results; and provide as an output object tracking output data corresponding to the states of the finite state machines for each object.
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公开(公告)号：US20210405185A1
公开(公告)日：2021-12-30
申请号：US17344534
申请日：2021-06-10
Applicant: TuSimple, Inc.
Inventor： Charles A. PRICE , Xiaoling HAN , Lingting GE , Zehua HUANG , Panqu WANG , Chiyu ZHANG , Joshua Miguel RODRIGUEZ , Junjun XIN
IPC: G01S13/931 , G05D1/02 , B60R11/02 , G01S13/86
Abstract: A system and method providing truck-mounted sensors to detect trailer following vehicles and trailer conditions are disclosed. A system of an example embodiment comprises: a vehicle control subsystem installed in an autonomous truck, the vehicle control subsystem comprising a data processor; and a truck-mounted sensor subsystem installed on a portion of a tractor of the autonomous truck to which a trailer is attachable, the truck-mounted sensor subsystem being coupled to the vehicle control subsystem via a data connection, wherein the truck-mounted sensor subsystem is configured to emit electromagnetic waves propagating in a space under the trailer, to generate object data representing objects detected by receiving a reflection of the electromagnetic waves, and to transfer the object data to the vehicle control subsystem.
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Patent Agency Ranking
公开(公告)号：US20210398310A1
公开(公告)日：2021-12-23
申请号：US16909987
申请日：2020-06-23
Applicant: TUSIMPLE, INC.
Inventor： Lingting GE , Siyuan LIU , Zehua HUANG , Yijie WANG
Abstract: Image processing techniques are described to receive bounding box information that describes a bounding box located around a detected obj ect in an image, determine one or more positions of one or more reference points on the bounding box, determine, for each reference point, 3D world coordinates of a point of intersection of the reference point and the road surface, and assign the 3D world coordinates of the one or more reference points to a location of the detected object.
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公开(公告)号：US20210397867A1
公开(公告)日：2021-12-23
申请号：US16909962
申请日：2020-06-23
Applicant: TUSIMPLE, INC.
Inventor： Lingting GE , Siyuan LIU , Chenzhe QIAN , Yijie WANG , Zehua HUANG , Xiaodi HOU
Abstract: Image processing techniques are described to select and crop a region of interest from an image obtained from a camera located on or in a vehicle, such as an autonomous semi-trailer truck. The region of interest can be identified by selecting one or more reference points and determining one or more positions of the one or more reference points on the image obtained from the camera. As an example, a location of two reference points may be 500 meters and 1000 meters in front of a location of autonomous vehicle, where the front of the autonomous vehicle is an area towards which the autonomous vehicle is being driven.
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公开(公告)号：US20210125370A1
公开(公告)日：2021-04-29
申请号：US16663242
申请日：2019-10-24
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：US20190286916A1
公开(公告)日：2019-09-19
申请号：US15924249
申请日：2018-03-18
Applicant: TuSimple
Inventor： Zhipeng YAN , Lingting GE , Pengfei CHEN , Panqu WANG
Abstract: A system and method for lateral vehicle detection is disclosed. A particular embodiment can be configured to: receive lateral image data from at least one laterally-facing camera associated with an autonomous vehicle; warp the lateral image data based on a line parallel to a side of the autonomous vehicle; perform object extraction on the warped lateral image data to identify extracted objects in the warped lateral image data; and apply bounding boxes around the extracted objects.
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公开(公告)号：US20240046654A1
公开(公告)日：2024-02-08
申请号：US18489306
申请日：2023-10-18
Applicant: TUSIMPLE, INC.
Inventor： Yijie WANG , Siyuan LIU , Lingting GE , Zehua HUANG
CPC classification number: G06V20/56 , G06T7/30 , G05D1/0246 , G06V20/584 , G06V10/803 , G06V10/811 , B60R2300/303 , G05D2201/0213
Abstract: Devices, systems and methods for fusing scenes from real-time image feeds from on-vehicle cameras in autonomous vehicles to reduce redundancy of the information processed to enable real-time autonomous operation are described. One example of a method for improving perception in an autonomous vehicle includes receiving a plurality of cropped images, wherein each of the plurality of cropped images comprises one or more bounding boxes that correspond to one or more objects in a corresponding cropped image; identifying, based on the metadata in the plurality of cropped images, a first bounding box in a first cropped image and a second bounding box in a second cropped image, wherein the first and second bounding boxes correspond to a common object; and fusing the metadata corresponding to the common object from the first cropped image and the second cropped image to generate an output result for the common object.
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