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41.
公开(公告)号:US12125379B2
公开(公告)日:2024-10-22
申请号:US17725814
申请日:2022-04-21
Applicant: GM Global Technology Operations LLC
Inventor: Wei Tong , Shige Wang , Shuqing Zeng , Sourav Dey , Xiaofeng Frank Song , Upali P. Mudalige , Praveen Choudhury
IPC: G08G1/01
CPC classification number: G08G1/0145 , G08G1/0133 , G08G1/0141
Abstract: A method for validating an autonomous vehicle performance using nearby traffic patterns includes receiving remote vehicle data. The remote vehicle data includes at least one remote-vehicle motion parameter about a movement of a plurality of remote vehicles during a predetermined time interval. The method further includes determining a traffic pattern of the plurality of remote vehicles using the at least one remote-vehicle motion parameter. The method includes determining a similarity between the traffic pattern of the plurality of remote vehicles and movements of the host vehicle. Further, the method includes determining whether the similarity between the traffic pattern of the plurality of remote vehicles and movements of the host vehicle is less than a predetermined threshold. Also, the method includes commanding the host vehicle to adjust the movements thereof to match the traffic pattern of the plurality of remote vehicles.
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公开(公告)号:US20240140475A1
公开(公告)日:2024-05-02
申请号:US18050642
申请日:2022-10-28
Applicant: GM Global Technology Operations LLC
Inventor: Shuqing Zeng , Wei Tong , Heng Zhou , Upali P. Mudalige , Reza Zarringhalam
CPC classification number: B60W60/001 , G06V20/588 , B60W2520/10 , B60W2520/12 , B60W2520/14 , B60W2552/53 , B60W2554/4041 , B60W2554/4045
Abstract: A method for determining a lane centerline includes detecting a remote vehicle ahead of a host vehicle includes determining a trajectory of the remote vehicle that is ahead of the host vehicle, extracting features of the trajectory of the remote vehicle that is ahead of the host vehicle to generate a trajectory feature vector, and classifying the trajectory of the remote vehicle that is ahead of the host vehicle using the trajectory feature vector to determine whether the trajectory of the remote vehicle includes a lane change. The method further includes determining a centerline of the current lane using the trajectory of the remote vehicle that does not include the lane change and commanding the host vehicle to move autonomously along the centerline of the current lane to maintain the host vehicle in the current lane.
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43.
公开(公告)号:US20230027275A1
公开(公告)日:2023-01-26
申请号:US17382459
申请日:2021-07-22
Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
Inventor: Wei Tong , Shige Wang , Shuqing Zeng
Abstract: A system for an attention-based perception includes a camera device configured to provide an image of an operating environment of a vehicle. The system further includes a computerized device monitoring the image, analyzing sensor data to identify a feature in the image as corresponding to an object in the operating environment and assign a score for the feature based upon an identification, a location, or a behavior of the object. The computerized device is further operable to define candidate regions of interest upon the image, correlate the score for the feature to the candidate regions of interest to accrue a total region score, select some of the candidate regions for analysis based upon the total region scores, and analyze the portion of the candidate regions to generate a path of travel output. The system further includes a device controlling the vehicle based upon the output.
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公开(公告)号:US11487993B2
公开(公告)日:2022-11-01
申请号:US15960948
申请日:2018-04-24
Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
Inventor: Wei Tong , Hojjat Izadi , Fahim Javid
Abstract: A method and apparatus that detect wheel misalignment are provided. The method includes predicting a self-aligning torque parameter based on a regression model determined from a dataset including one or more from among a steering wheel angle parameter, a speed parameter, a torsion bar torque parameter, a lateral acceleration parameter, and a power steering torque parameter, comparing a measured self-aligning torque parameter and the predicted self-aligning torque parameter, and outputting a wheel alignment condition indicating whether the wheel alignment is proper if the self-aligning torque parameter and the predicted self-aligning torque parameter are within a predetermined value based on the comparing.
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公开(公告)号:US20210239485A1
公开(公告)日:2021-08-05
申请号:US16782683
申请日:2020-02-05
Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
Inventor: Farui Peng , Kai-Han Chang , Wei Tong
Abstract: A method of vehicle navigation using terrain text recognition includes receiving, via an electronic controller arranged on a vehicle and having access to a map of the terrain, a navigation route through the terrain. The method also includes receiving, via the controller, a signal from a global positioning system (GPS) to determine a current position of the vehicle relative to the terrain. The method additionally includes determining, via the controller, a location of a next waypoint on the navigation route and relative to the current vehicle position. The method also includes detecting and communicating to the controller, via a vehicle sensor an image frame displaying a text indicative of the next waypoint and correlating, via the controller, the detected text to the next waypoint on the map. Furthermore, the method includes setting, via the controller, an in-vehicle alert indicative of the detected text having been correlated to the next waypoint.
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公开(公告)号:US20210129842A1
公开(公告)日:2021-05-06
申请号:US16671727
申请日:2019-11-01
Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
Inventor: Shige Wang , Wei Tong , Stephen N. McKinnie , Shuqing Zeng
Abstract: Presented are embedded control systems with logic for computation and data sharing, methods for making/using such systems, and vehicles with distributed sensors and embedded processing hardware for provisioning automated driving functionality. A method for operating embedded controllers connected with distributed sensors includes receiving a first data stream from a first sensor via a first embedded controller, and storing the first data stream with a first timestamp and data lifespan via a shared data buffer in a memory device. A second data stream is received from a second sensor via a second embedded controller. A timing impact of the second data stream is calculated based on the corresponding timestamp and data lifespan. Upon determining that the timing impact does not violate a timing constraint, the first data stream is purged from memory and the second data stream is stored with a second timestamp and data lifespan in the memory device.
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公开(公告)号:US20200311481A1
公开(公告)日:2020-10-01
申请号:US16367590
申请日:2019-03-28
Applicant: GM Global Technology Operations LLC
Inventor: Wei Tong , Shuqing Zeng , Upali P. Mudalige
Abstract: Systems and methods to generate an adversarial attack on a black box object detection algorithm of a sensor involve obtaining an initial training data set from the black box object detection algorithm. The black box object detection algorithm performs object detection on initial input data to provide black box object detection algorithm output that provides the initial training data set. A substitute model is trained with the initial training data set such that output from the substitute model replicates the black box object detection algorithm output that makes up the initial training data set. Details of operation of the black box object detection algorithm are unknown and details of operation of the substitute model are known. The substitute model is used to perform the adversarial attack. The adversarial attack refers to identifying adversarial input data for which the black box object detection algorithm will fail to perform accurate detection.
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公开(公告)号:US20200160125A1
公开(公告)日:2020-05-21
申请号:US16193303
申请日:2018-11-16
Applicant: GM Global Technology Operations LLC
Inventor: Shige Wang , Wei Tong , Shuqing Zeng , Roman L. Millett
Abstract: A signal processing system includes a central processing unit (CPU) in communication with an accelerator, and an instruction scheduler in communication with the accelerator. A first memory device including a first instruction set is configured to operate the accelerator, a second instruction set is configured to operate the CPU, and a second memory device is configured to receive a datafile. The accelerator includes a plurality of processing engines (PEs) and an instruction scheduler, the instruction set includes a plurality of operators, and the instruction scheduler is configured to implement the operators in the accelerator employing the PEs. The CPU employs the operators implemented in the accelerator to analyze the datafile to extract a feature therefrom.
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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:US20190361456A1
公开(公告)日:2019-11-28
申请号:US15988658
申请日:2018-05-24
Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
Inventor: Shuqing Zeng , Wei Tong , Upali P. Mudalige
Abstract: Systems and methods are provided for controlling an autonomous vehicle (AV). A map generator module processes sensor data to generate a world representation of a particular driving scenario (PDS). A scene understanding module (SUM) processes navigation route data, position information and a feature map to define an autonomous driving task (ADT), and decomposes the ADT into a sequence of sub-tasks. The SUM selects a particular combination of sensorimotor primitive modules (SPMs) to be enabled and executed for the PDS. Each one of the SPMs addresses a sub-task in the sequence. A primitive processor module executes the particular combination of the SPMs such that each generates a vehicle trajectory and speed (VTS) profile. A selected one of the VTS profiles is then processed to generate the control signals, which are then processed at a low-level controller to generate commands that control one or more of actuators of the AV
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