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公开(公告)号：US20210039521A1
公开(公告)日：2021-02-11
申请号：US16535642
申请日：2019-08-08
Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
Inventor： Yasen Hu , Kausalya Singuru , Shiming Duan , Yao Hu , Nicholas W. Pinto , Bradley R. Frieberg
Abstract: A system and method for personalization of adjustable features of a vehicle. The system includes a processor and an actuator. The processor detectors key points of a person from a two-dimensional image and predicts a pose of the person. The processor translates a respective position of the key points from a two-dimensional coordinate system to a three-dimensional coordinate system based in part on the pose and measurements of distances between the key points. The processor determines a baseline configuration of an adjustable feature of the vehicle based in part on measurements between the key points in the three-dimensional coordinate system. The processor causes an actuator to adjust the adjustable feature to conform to the baseline configuration.
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公开(公告)号：US20200264274A1
公开(公告)日：2020-08-20
申请号：US16279286
申请日：2019-02-19
Applicant: GM Global Technology Operations LLC
Inventor： Shuqing Zeng , Igal Bilik , Yasen Hu
Abstract: A system and method to resolve ambiguity in a radar system involve detecting one or more objects with the radar system. The detecting includes obtaining range, azimuth, and an ambiguous range rate of a first object of the one or more objects. A plurality of Kalman filters are generated with state variables that include parameters based on the range, the azimuth, and the ambiguous range rate. Each of the plurality of Kalman filters provides a different estimate for an unambiguous range rate. The method also includes updating the plurality of Kalman filters using additional detections by the radar system, selecting a selected Kalman filter from among the plurality of Kalman filters that exhibits a highest probability mass among a plurality of probability mass corresponding with and derived from the plurality of Kalman filters, and determining the unambiguous range rate of the object using the selected Kalman filter.
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公开(公告)号：US11881028B2
公开(公告)日：2024-01-23
申请号：US17307377
申请日：2021-05-04
Applicant: GM Global Technology Operations LLC
Inventor： Shuqing Zeng , Jordan Chipka , Yasen Hu
IPC: G06V20/00 , G06V20/56 , G06T7/70 , G01S17/931 , G01S17/42 , G01S7/48 , G06N3/088 , B60R99/00 , G06F18/21 , G06N3/045
CPC classification number: G06V20/56 , B60R99/00 , G01S7/4802 , G01S17/42 , G01S17/931 , G06F18/21 , G06N3/045 , G06N3/088 , G06T7/70 , G06T2207/10028 , G06T2207/20081 , G06T2207/20084 , G06T2207/30252
Abstract: A vehicle system includes a lidar system that obtains an initial point cloud and obtains a dual density point cloud by implementing a first neural network and based on the initial point cloud. The dual density point cloud results from reducing point density of the initial point cloud outside a region of interest (ROI). Processing the dual density point cloud results in a detection result that indicates any objects in a field of view (FOV) of the lidar system. A controller obtains the detection result from the lidar system and controls an operation of the vehicle based on the detection result.
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公开(公告)号：US20220358316A1
公开(公告)日：2022-11-10
申请号：US17307377
申请日：2021-05-04
Applicant: GM Global Technology Operations LLC
Inventor： Shuqing Zeng , Jordan Chipka , Yasen Hu
IPC: G06K9/00 , G06T7/70 , G06K9/62 , G01S17/931 , G01S17/42 , G01S7/48 , B60R99/00 , G06N3/04 , G06N3/08
Abstract: A vehicle system includes a lidar system that obtains an initial point cloud and obtains a dual density point cloud by implementing a first neural network and based on the initial point cloud. The dual density point cloud results from reducing point density of the initial point cloud outside a region of interest (ROI). Processing the dual density point cloud results in a detection result that indicates any objects in a field of view (FOV) of the lidar system. A controller obtains the detection result from the lidar system and controls an operation of the vehicle based on the detection result.
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公开(公告)号：US20220227358A1
公开(公告)日：2022-07-21
申请号：US17153381
申请日：2021-01-20
Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
Inventor： Yasen Hu , Brent N. Bacchus
IPC: B60W30/09 , G01C21/00 , B60W10/20 , B60W10/18 , B60W30/095
Abstract: A vehicle control system for automated driver-assistance includes a controller that generates a control signal to alter operation of one or more actuators of a vehicle based on a heading of a target. Generating the control signal includes determining a first heading of the target based on sensor data. Further, a probability (pa) of the first heading being accurate is computed based on a number of heading flips encountered in a duration-window of a predetermined length. Further, a map-probability (pm) that the target is traveling according to data from a navigation map is computed. Further, a posterior probability (pf) of the first heading being accurate is computed based on the probability (pa) and the map-probability (pm). Generating the control signal further includes, in response to the posterior probability being less than a predetermined threshold, correcting the first heading, and generating the control signal based on the first heading.
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Patent Agency Ranking
6.发明授权公开(公告)号：US10817728B2
公开(公告)日：2020-10-27
申请号：US16255056
申请日：2019-01-23
Applicant: GM Global Technology Operations LLC
Inventor： Syed B. Mehdi , Yasen Hu , Upali P. Mudalige
Abstract: A method of updating an identification algorithm of a vehicle includes sensing an image and drawing boundary boxes in the image. The algorithm attempts to identify an object-of-interest within each respective boundary box. The algorithm also attempts to identify a component of the object-of-interest within each respective boundary box, and if component is identified, calculates an excluded amount of a component boundary that is outside an object boundary. When the excluded amount is greater than a coverage threshold, the algorithm communicates the image to a processing center, which may identify a previously un-identified the object-of-interest in the image. The processing center may add the image to a training set of images to define a revised training set of images, and retrain the identification algorithm using the revised training set of images. The updated identification algorithm may then be uploaded onto the vehicle.
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公开(公告)号：US20190244136A1
公开(公告)日：2019-08-08
申请号：US15888322
申请日：2018-02-05
Applicant: GM Global Technology Operations LLC
Inventor： Yasen Hu , Shuqing Zeng , Wei Tong , Mohannad Murad , Gregg R. Kittinger , David R. Petrucci
CPC classification number: G06N20/00 , G05D1/0088 , G05D1/0238 , G05D1/0255
Abstract: A system and method to perform inter-sensor learning obtains a detection of a target based on a first sensor. The method also includes determining whether a second sensor with an overlapping detection range with the first sensor also detects the target, and performing learning to update a detection algorithm used with the second sensor based on the second sensor failing to detect the target.
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公开(公告)号：US11479148B2
公开(公告)日：2022-10-25
申请号：US16535642
申请日：2019-08-08
Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
Inventor： Yasen Hu , Kausalya Singuru , Shiming Duan , Yao Hu , Nicholas W. Pinto , Bradley R. Frieberg
Abstract: A system and method for personalization of adjustable features of a vehicle. The system includes a processor and an actuator. The processor detectors key points of a person from a two-dimensional image and predicts a pose of the person. The processor translates a respective position of the key points from a two-dimensional coordinate system to a three-dimensional coordinate system based in part on the pose and measurements of distances between the key points. The processor determines a baseline configuration of an adjustable feature of the vehicle based in part on measurements between the key points in the three-dimensional coordinate system. The processor causes an actuator to adjust the adjustable feature to conform to the baseline configuration.
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公开(公告)号：US10592784B2
公开(公告)日：2020-03-17
申请号：US15900206
申请日：2018-02-20
Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
Inventor： Shuqing Zeng , Wei Tong , Yasen Hu , Mohannad Murad , David R. Petrucci , Gregg R. Kittinger
Abstract: A system and method to perform detection based on sensor fusion includes obtaining data from two or more sensors of different types. The method also includes extracting features from the data from the two or more sensors and processing the features to obtain a vector associated with each of the two or more sensors. The method further includes concatenating the two or more vectors obtained from the two or more sensors to obtain a fused vector, and performing the detection based on the fused vector.
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公开(公告)号：US20190315274A1
公开(公告)日：2019-10-17
申请号：US15952904
申请日：2018-04-13
Applicant: GM Global Technology Operations LLC
Inventor： Syed B. Mehdi , Yasen Hu , Upali P. Mudalige
Abstract: A method for controlling an operating vehicle includes: (a) determining, via a controller, a confidence level that the light of the other vehicle is ON based on images captured by a camera of the operating vehicle; and (b) controlling, via the controller, an alarm of the operating vehicle based on the confidence level that the light of the other vehicle is ON.
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