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公开(公告)号：US11580754B2
公开(公告)日：2023-02-14
申请号：US16846205
申请日：2020-04-10
Applicant: TUSIMPLE, INC.
Inventor： Xue Mei , Xiaodi Hou , Dazhou Guo , Yujie Wei
IPC: G06K9/00 , G06V20/56 , B60R11/04 , G07C5/00 , G01S17/42 , G06N3/02 , G06T7/10 , G06T7/246 , G06T5/50 , G06N3/04 , G06N3/08 , G01C21/00
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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Patent Agency Ranking
公开(公告)号：US12148227B2
公开(公告)日：2024-11-19
申请号：US18102559
申请日：2023-01-27
Applicant: TuSimple, Inc.
Inventor： Xue Mei , Xiaodi Hou , Dazhou Guo , Yujie Wei
IPC: G06T7/10 , B60R11/04 , G01C21/00 , G01S17/42 , G06N3/02 , G06N3/045 , G06N3/08 , G06T5/50 , G06T7/246 , G06V20/56 , G07C5/00
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：US20190340447A1
公开(公告)日：2019-11-07
申请号：US16401772
申请日：2019-05-02
Applicant: TuSimple, Inc.
Abstract: Disclosed are devices, systems and methods for curb detection using light detection and ranging (LiDAR) sensors. One example of a method for curb detection includes acquiring, based on a scan of an area around a vehicle, a point-cloud frame that includes a description of an intensity of a reflection of the area around the vehicle, selecting a subset of points from the point-cloud frame, seeding each of a plurality of clusters based on the selected points, determining a criterion for each of the selected points, increasing a size of each of the plurality of clusters by including additional points from the point-cloud frame that meet the criterion for the corresponding cluster, identifying a largest cluster of the plurality of clusters upon completion of the increasing step, and detecting a curb based on a boundary of the largest cluster.
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公开(公告)号：US20230111722A1
公开(公告)日：2023-04-13
申请号：US18048011
申请日：2022-10-19
Applicant: TUSIMPLE, INC.
Abstract: Disclosed are devices, systems and methods for road feature detection using light detection and ranging (LiDAR) sensors. One example of a method for road feature detection includes obtaining a point-cloud frame that comprises a description of an intensity of a reflection of beams from an area around a vehicle. The example method further includes creating a plurality of clusters that each include (i) one or more seed points of the point-cloud frame, and (ii) additional points of the point-cloud frame based on a relationship between the additional points and the one or more seed points. The example method further includes identifying a cluster from the plurality of clusters based on a total number of points included in each of the plurality of clusters. The example method further includes detecting a road feature from the cluster.
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公开(公告)号：US11500101B2
公开(公告)日：2022-11-15
申请号：US16401772
申请日：2019-05-02
Applicant: TuSimple, Inc.
Abstract: Disclosed are devices, systems and methods for curb detection using light detection and ranging (LiDAR) sensors. One example of a method for curb detection includes acquiring, based on a scan of an area around a vehicle, a point-cloud frame that includes a description of an intensity of a reflection of the area around the vehicle, selecting a subset of points from the point-cloud frame, seeding each of a plurality of clusters based on the selected points, determining a criterion for each of the selected points, increasing a size of each of the plurality of clusters by including additional points from the point-cloud frame that meet the criterion for the corresponding cluster, identifying a largest cluster of the plurality of clusters upon completion of the increasing step, and detecting a curb based on a boundary of the largest cluster.
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公开(公告)号：US10657390B2
公开(公告)日：2020-05-19
申请号：US15822689
申请日：2017-11-27
Applicant: TuSimple, Inc.
Inventor： Xue Mei , Xiaodi Hou , Dazhou Guo , Yujie Wei
IPC: G06K9/00 , B60R11/04 , G07C5/00 , G01S17/42 , G06N3/02 , G01C21/32 , G06T7/10 , G06T7/246 , G01S17/89 , G06T5/50 , G06N3/04 , G06N3/08
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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