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公开(公告)号:US20240116527A1
公开(公告)日:2024-04-11
申请号:US17938443
申请日:2022-10-06
Applicant: GM Global Technology Operations LLC
Inventor: Wei Tong , Xiaofeng Frank Song , Shige Wang , Shuqing Zeng , Gopichand Movva
CPC classification number: B60W50/14 , B60Q1/525 , B60W40/04 , G08G1/096783 , H04W4/44 , H04W4/46 , B60W2420/54 , B60W2556/45
Abstract: A dynamic side blind zone method includes determining that a host vehicle is approaching a first lane that is nonparallel to a second lane. The host vehicle is moving in the second lane. The method further includes activating an adaptive side blind zone alert system of the host vehicle in response to determining that the host vehicle is approaching the first lane that is nonparallel to the second lane, determining a warning zone in response to activating the adaptive side blind zone alert system of the host vehicle, and detecting a remote vehicle inside the warning zone after determining the warning zone. The remote vehicle is moving in the first lane. The method further includes providing an alert to a vehicle user of the host vehicle in response to detecting that the remote vehicle is inside the warning zone.
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公开(公告)号:US20230267831A1
公开(公告)日:2023-08-24
申请号:US17679368
申请日:2022-02-24
Applicant: GM Global Technology Operations LLC
Inventor: SHIGE WANG , Wei Tong , Shuqing Zeng , Xiaofeng Frank Song , Sourav Dey , Praveen Choudhury
CPC classification number: G08G1/017 , G07C5/008 , G07C5/02 , G08G1/0112
Abstract: An automobile vehicle continuous validation system includes a backend collecting data from a vehicle fleet and wirelessly communicating with the vehicle fleet. The backend is in wireless communication with at least one client. A vehicle module is provided on-board individual ones of multiple automobile vehicles of the vehicle fleet and performing an on-board vehicle validation analysis. A fleet-based validation module provided either at the backend or cloud based manages data defining a configuration of and a capability of the multiple automobile vehicles of the vehicle fleet. A validation manager generates validation tasks based on a user's definition or a desired production of the validation tasks of the validation analysis and a fleet vehicle availability. A client-side module remote from the multiple automobile vehicles of the vehicle fleet has interface items applied by the at least one client seeking to perform the validation analysis.
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公开(公告)号:US10024955B2
公开(公告)日:2018-07-17
申请号:US14229178
申请日:2014-03-28
Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
Inventor: Xiaofeng Frank Song , Shuqing Zeng
Abstract: Methods and systems for determining a misalignment angle for a sensor in a vehicle are provided. The method, for example, may include, but is not limited to determining, by a processor, when an object detected in sensor data acquired by the sensor is a stationary object, and calculating, by the processor, the misalignment angle of the sensor based upon sensor data associated with the stationary object.
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公开(公告)号:US09857181B2
公开(公告)日:2018-01-02
申请号:US14823693
申请日:2015-08-11
Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
Inventor: Xiaofeng Frank Song , Xian Zhang , Dmitriy Feldman , Paul A. Adam
Abstract: A method for assessing operation of a navigation system onboard a vehicle is provided. The method determines a sensor-based lateral offset change using vehicle onboard sensor data; determines a second lateral offset change using navigation system data; computes a difference between the sensor-based lateral offset change and the second lateral offset change; performs secondary calculations using the difference to produce a result; and when the result is greater than a threshold error value, provides an error notification.
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5.
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:US09784829B2
公开(公告)日:2017-10-10
申请号:US14679998
申请日:2015-04-06
Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
Inventor: Shuqing Zeng , Xiaofeng Frank Song
CPC classification number: G01S13/723 , G01S7/40 , G01S7/4004 , G01S7/411 , G01S7/415 , G01S13/867 , G01S13/878 , G01S13/931 , G01S2013/9342 , G01S2013/9346
Abstract: A method and system are disclosed for tracking a remote vehicle which is driving in a lateral position relative to a host vehicle. Target data from two radar sensors are provided to an object detection fusion system. Wheels on the remote vehicle are identified as clusters of radar points with essentially the same location but substantially varying Doppler range rate values. If both wheels on the near side of the remote vehicle can be identified, a fusion calculation is performed using the wheel locations measured by both radar sensors, yielding an accurate estimate of the position, orientation and velocity of the remote vehicle. The position, orientation and velocity of the remote vehicle are used to trigger warnings or evasive maneuvers in a Lateral Collision Prevention (LCP) system. Radar sensor alignment can also be calibrated with an additional fusion calculation based on the same wheel measurement data.
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7.
公开(公告)号:US20160209211A1
公开(公告)日:2016-07-21
申请号:US14598894
申请日:2015-01-16
Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
Inventor: Xiaofeng Frank Song , Xian Zhang , Shuqing Zeng
IPC: G01B21/24
CPC classification number: G01B21/24 , G01S7/4026 , G01S7/4972 , G01S13/931 , G01S17/936 , G01S2007/403 , G01S2013/9367 , G01S2013/9375 , G01S2013/9378 , G01S2013/9385
Abstract: A vehicle system and method that can determine object sensor misalignment while a host vehicle is being driven, and can do so within a single sensor cycle through the use of stationary and moving target objects and does not require multiple sensors with overlapping fields of view. In an exemplary embodiment where the host vehicle is traveling in a generally straight line, one or more object misalignment angle(s) αo between an object axis and a sensor axis are calculated and used to determine the actual sensor misalignment angle α.
Abstract translation: 一种车辆系统和方法,其可以在主车辆被驱动时确定物体传感器未对准,并且可以通过使用固定和移动的目标物体在单个传感器周期内进行,并且不需要具有重叠视场的多个传感器。 在本车辆以大致直线行进的示例性实施例中,计算物体轴和传感器轴之间的一个或多个物体未对准角αo,并用于确定实际的传感器未对准角α。
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公开(公告)号:US11922806B2
公开(公告)日:2024-03-05
申请号:US17679368
申请日:2022-02-24
Applicant: GM Global Technology Operations LLC
Inventor: Shige Wang , Wei Tong , Shuqing Zeng , Xiaofeng Frank Song , Sourav Dey , Praveen Choudhury
CPC classification number: G08G1/017 , G07C5/008 , G07C5/02 , G08G1/0112
Abstract: An automobile vehicle continuous validation system includes a backend collecting data from a vehicle fleet and wirelessly communicating with the vehicle fleet. The backend is in wireless communication with at least one client. A vehicle module is provided on-board individual ones of multiple automobile vehicles of the vehicle fleet and performing an on-board vehicle validation analysis. A fleet-based validation module provided either at the backend or cloud based manages data defining a configuration of and a capability of the multiple automobile vehicles of the vehicle fleet. A validation manager generates validation tasks based on a user's definition or a desired production of the validation tasks of the validation analysis and a fleet vehicle availability. A client-side module remote from the multiple automobile vehicles of the vehicle fleet has interface items applied by the at least one client seeking to perform the validation analysis.
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9.
公开(公告)号:US20230343210A1
公开(公告)日:2023-10-26
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 , G08G1/0141 , G08G1/0133
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:US09952049B2
公开(公告)日:2018-04-24
申请号:US14849726
申请日:2015-09-10
Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
Inventor: Xian Zhang , Xiaofeng Frank Song
Abstract: A method for monitoring performance of a navigation system onboard a vehicle is provided. The method obtains, at a vehicle electronic control unit (ECU), a triangulated vehicle location and vehicle motion data, the triangulated vehicle location obtained from the navigation system; computes an estimated vehicle location, using the triangulated vehicle location and the vehicle motion data; calculates a probability that the estimated vehicle location exists within an error bound of the triangulated vehicle location; and when the probability indicates that the estimated vehicle location does not exist within the error bound, performs a task onboard the vehicle.
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