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公开(公告)号：US11989952B2
公开(公告)日：2024-05-21
申请号：US17100777
申请日：2020-11-20
Applicant: Samsung Electronics Co., Ltd.
Inventor： Lin Sun , Chenxu Luo , Dariush Dabiri
CPC classification number: G06V20/588 , G06N3/04 , G06N3/08 , G06V10/82 , G06V20/58 , G08G1/01 , G08G1/123
Abstract: Systems and methods for predicting a location of a target vehicle are disclosed. A processor receives trajectory information for the target vehicle and determines a trajectory feature based on the trajectory information. The processor further determines a lane feature of a lane within a threshold vicinity of the target vehicle, and determines a probability associated with the lane based on the trajectory feature and the lane feature. The lane that the vehicle may enter is identified based on the probability. The processor may also generate interactive features of interactions between the target vehicle and other vehicles. The processor predicts a location of the target vehicle in an upcoming time period based on the lane feature and the trajectory feature. In some embodiments, the interactive features are also used for the prediction.
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公开(公告)号：US20210155266A1
公开(公告)日：2021-05-27
申请号：US16742702
申请日：2020-01-14
Applicant: Samsung Electronics Co., Ltd.
Inventor： Lin Sun , Schuyler Cullen , Farshid Moussavi
Abstract: An object trajectory prediction system of a vehicle includes: one or more sensors to generate sensory data corresponding to one or more objects within a range of the vehicle; one or more processors; and memory connected to the one or more processors and having instructions that, when executed by the one or more processors, cause the one or more processors to: identify a first person of interest (POI) from the sensory data; estimate a 3-dimensional (3D) pose of the first POI from the sensory data; calculate a trajectory of the first POI according to at least the 3D pose of the first POI; and determine a navigational path of the vehicle according to the trajectory of the first POI.
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Patent Agency Ranking
公开(公告)号：US11407431B2
公开(公告)日：2022-08-09
申请号：US16742702
申请日：2020-01-14
Applicant: Samsung Electronics Co., Ltd.
Inventor： Lin Sun , Schuyler Cullen , Farshid Moussavi
Abstract: An object trajectory prediction system of a vehicle includes: one or more sensors to generate sensory data corresponding to one or more objects within a range of the vehicle; one or more processors; and memory connected to the one or more processors and having instructions that, when executed by the one or more processors, cause the one or more processors to: identify a first person of interest (POI) from the sensory data; estimate a 3-dimensional (3D) pose of the first POI from the sensory data; calculate a trajectory of the first POI according to at least the 3D pose of the first POI; and determine a navigational path of the vehicle according to the trajectory of the first POI.
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公开(公告)号：US11543534B2
公开(公告)日：2023-01-03
申请号：US16985092
申请日：2020-08-04
Applicant: Samsung Electronics Co., Ltd.
Abstract: A system and method for three-dimensional (3D) object classification are disclosed. A computing system receives point cloud data from an input source. The point cloud data may include first and second points in 3D space. The first point may represent a feature of an object. The computing system invokes a neural network for classifying the first point with a first label, and regresses a bounding box based on classifying the first point with the first label. Regressing the bounding box includes predicting at least a location of the bounding box. The computing system may control an autonomous vehicle based on regressing the bounding box.
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公开(公告)号：US20210374399A1
公开(公告)日：2021-12-02
申请号：US16942692
申请日：2020-07-29
Applicant: Samsung Electronics Co., Ltd.
Inventor： Chor Hei Ernest Cheung , Yelei Li , Lin Sun , Caleb J. Li
IPC: G06K9/00
Abstract: A contactless biometrics monitoring system includes: a first device to transmit a modulated signal into an environment, the modulated signal being modulated to amplify one or more biometric patterns of a user located within the environment; and a second device to receive a reflection of the modulated signal off the user located within the environment. The reflection includes a vibration component, and the vibration component indicates biometric information of the user corresponding to the one or more biometric patterns amplified by the modulated signal.
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公开(公告)号：US20210174668A1
公开(公告)日：2021-06-10
申请号：US17100777
申请日：2020-11-20
Applicant: Samsung Electronics Co., Ltd.
Inventor： Lin Sun , Chenxu Luo , Dariush Dabiri
Abstract: Systems and methods for predicting a location of a target vehicle are disclosed. A processor receives trajectory information for the target vehicle and determines a trajectory feature based on the trajectory information. The processor further determines a lane feature of a lane within a threshold vicinity of the target vehicle, and determines a probability associated with the lane based on the trajectory feature and the lane feature. The lane that the vehicle may enter is identified based on the probability. The processor may also generate interactive features of interactions between the target vehicle and other vehicles. The processor predicts a location of the target vehicle in an upcoming time period based on the lane feature and the trajectory feature. In some embodiments, the interactive features are also used for the prediction.
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公开(公告)号：US20210157006A1
公开(公告)日：2021-05-27
申请号：US16985092
申请日：2020-08-04
Applicant: Samsung Electronics Co., Ltd.
IPC: G01S17/894 , G06T15/00 , G06T11/00 , G06N3/02 , G05D1/00
Abstract: A system and method for three-dimensional (3D) object classification are disclosed. A computing system receives point cloud data from an input source. The point cloud data may include first and second points in 3D space. The first point may represent a feature of an object. The computing system invokes a neural network for classifying the first point with a first label, and regresses a bounding box based on classifying the first point with the first label. Regressing the bounding box includes predicting at least a location of the bounding box. The computing system may control an autonomous vehicle based on regressing the bounding box.
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