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公开(公告)号：US10832450B2
公开(公告)日：2020-11-10
申请号：US16366393
申请日：2019-03-27
Applicant: GM Global Technology Operations LLC
Inventor： Wei Tong , Chengqi Bian , Farui Peng , Shuqing Zeng
Abstract: A method for image style transfer using a Semantic Preserved Generative Adversarial Network (SPGAN) includes: receiving a source image; inputting the source image into the SPGAN; extracting a source-semantic feature data from the source image; generating, by the first decoder, a first synthetic image including the source semantic content of the source image in a target style of a target image using the source-semantic feature data extracted by the first encoder of the first generator network, wherein the first synthetic image includes first-synthetic feature data; determining a first encoder loss using the source-semantic feature data and the first-synthetic feature data; discriminating the first synthetic image against the target image to determine a GAN loss; determining a total loss as a function of the first encoder loss and the first GAN loss; and training the first generator network and the first discriminator network.
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公开(公告)号：US10824943B2
公开(公告)日：2020-11-03
申请号：US16107315
申请日：2018-08-21
Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
Inventor： Wei Tong , Shuqing Zeng , Upali P. Mudalige , Shige Wang
Abstract: Described herein are systems, methods, and computer-readable media for generating and training a high precision low bit convolutional neural network (CNN). A filter of each convolutional layer of the CNN is approximated using one or more binary filters and a real-valued activation function is approximated using a linear combination of binary activations. More specifically, a non-1×1 filter (e.g., a k×k filter, where k>1) is approximated using a scaled binary filter and a 1×1 filter is approximated using a linear combination of binary filters. Thus, a different strategy is employed for approximating different weights (e.g., 1×1 filter vs. a non-1×1 filter). In this manner, convolutions performed in convolutional layer(s) of the high precision low bit CNN become binary convolutions that yield a lower computational cost while still maintaining a high performance (e.g., a high accuracy).
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123.发明申请公开(公告)号：US20200333454A1
公开(公告)日：2020-10-22
申请号：US16387998
申请日：2019-04-18
Applicant: GM Global Technology Operations LLC
Inventor： Tzvi Philipp , Shahar Villeval , Igal Bilik , Jeremy A. Salinger , Shuqing Zeng
Abstract: System and method of controlling operation of a device in real-time. The system includes an optical sensor having a steerable optical field of view for obtaining image data and a radar unit having a steerable radar field of view for obtaining radar data. A controller may be configured to steer a first one of the optical sensor and the radar unit to a first region of interest and a second one of the optical sensor and the radar unit to the second region of interest. The controller may be configured to steer both the optical sensor and the radar unit to the first region of interest. The radar data and the image data are fused to obtain a target location and a target velocity. The controller is configured to control operation of the device based in part on at least one of the target location and the target velocity.
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124.发明授权公开(公告)号：US10745006B2
公开(公告)日：2020-08-18
申请号：US15886492
申请日：2018-02-01
Applicant: GM Global Technology Operations LLC
Inventor： Donald K. Grimm , Wei Tong , Shuqing Zeng , Upali P. Mudalige
Abstract: Technical solutions are described for controlling an automated driving system of a vehicle. An example method includes computing a complexity metric of an upcoming region along a route that the vehicle is traveling along. The method further includes, in response to the complexity metric being below a predetermined low-complexity threshold, determining a trajectory for the vehicle to travel in the upcoming region using a computing system of the vehicle. Further, the method includes in response to the complexity metric being above a predetermined high-complexity threshold, instructing an external computing system to determine the trajectory for the vehicle to travel in the upcoming region. If the trajectory cannot be determined by the external computing system a minimal risk condition maneuver of the vehicle is performed.
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公开(公告)号：US10678247B2
公开(公告)日：2020-06-09
申请号：US15688451
申请日：2017-08-28
Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
Inventor： Shengbing Jiang , Mutasim A. Salman , Yilu Zhang , Shuqing Zeng
Abstract: An autonomic vehicle control system includes a perception module of a spatial monitoring system that is disposed to monitor a spatial environment proximal to the autonomous vehicle. A method for evaluating vehicle dynamics operation includes determining a desired trajectory for the autonomous vehicle, wherein the desired trajectory includes desired vehicle positions including an x-position, a y-position and a heading. Vehicle control commands are determined based upon the desired trajectory, and include a commanded steering angle, an acceleration command and a braking command. Actual vehicle states responsive to the vehicle control commands are determined. An estimated trajectory is determined based upon the actual vehicle states, and a trajectory error is determined based upon a difference between the desired trajectory and the estimated trajectory. The trajectory error is monitored over a time horizon, and a first state of health (SOH) is determined based upon the trajectory error over the time horizon.
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Patent Agency Ranking
公开(公告)号：US10671860B2
公开(公告)日：2020-06-02
申请号：US15900149
申请日：2018-02-20
Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
Inventor： Hansi Liu , Fan Bai , Shuqing Zeng
Abstract: A system and method of operating a vehicle. The system includes a two-dimensional imager, a three-dimensional imager, and at least one processor. The two-dimensional imager obtains a two-dimensional image of an environment surrounding the vehicle, wherein the environment includes an object. The three-dimensional imager obtains a three-dimensional (3D) point cloud of the environment. The at least one processor identifies the object from the 2D image and assigns the identification of the object to a selected point of the 3D point cloud.
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公开(公告)号：US20190258876A1
公开(公告)日：2019-08-22
申请号：US15900149
申请日：2018-02-20
Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
Inventor： Hansi Liu , Fan Bai , Shuqing Zeng
Abstract: A system and method of operating a vehicle. The system includes a two-dimensional imager, a three-dimensional imager, and at least one processor. The two-dimensional imager obtains a two-dimensional image of an environment surrounding the vehicle, wherein the environment includes an object. The three-dimensional imager obtains a three-dimensional (3D) point cloud of the environment. The at least one processor identifies the object from the 2D image and assigns the identification of the object to a selected point of the 3D point cloud.
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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：US20190152387A1
公开(公告)日：2019-05-23
申请号：US15820033
申请日：2017-11-21
Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
Inventor： Mohammad Naserian , Shuqing Zeng , Allan K. Lewis
Abstract: An ajar tailgate detection system for a vehicle having a parking assist system and a method for controlling the same are provided. The ajar tailgate detection system may include, but not limited to, a camera configured to output image data and a processor communicatively coupled to the camera and the parking assist system, the processor configured to determine when the tailgate is open based upon the image data output from the camera generate, when the tailgate is determined to be open, one of instructions to load a tailgate ajar calibration file into the parking assist system or instructions to disable the parking assist system, the tailgate ajar calibration file defining a second vehicle length and defining a second data acquisition range of the at least one sensor and transmit the generated instructions to the parking assist system.
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公开(公告)号：US10268204B2
公开(公告)日：2019-04-23
申请号：US15690966
申请日：2017-08-30
Applicant: GM Global Technology Operations LLC
Inventor： Wei Tong , Shuqing Zeng , Upali P. Mudalige
Abstract: A vehicle, system and method of driving of an autonomous vehicle. The vehicle includes a camera for obtaining an image of a surrounding region of the vehicle, an actuation device for controlling a parameter of motion of the vehicle, and a processor. The processor selects a context region within the image, wherein the context region including a detection region therein. The processor further estimates a confidence level indicative of the presence of at least a portion of the target object in the detection region and a bounding box associated with the target object, determines a proposal region from the bounding box when the confidence level is greater than a selected threshold, determines a parameter of the target object within the proposal region, and controls the actuation device to alter a parameter of motion of the vehicle based on the parameter of the target object.
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