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公开(公告)号:US12266188B2
公开(公告)日:2025-04-01
申请号:US17739417
申请日:2022-05-09
Applicant: GM Global Technology Operations LLC
Inventor: Bo Yu , Kamran Ali , Vivek Vijaya Kumar , Curtis L. Hay , Pei Xu , Hariharan Krishnan
Abstract: A method of determining the position of a vehicle includes generating a vehicle-based point cloud of objects in proximity to the vehicle, referenced to a vehicle-based coordinate system. The method also includes receiving an infrastructure-based point cloud, referenced to a global coordinate system, of objects detected by a camera mounted at a fixed location external to the vehicle, and registering the vehicle-based point cloud with the infrastructure-based point cloud to determine the vehicle position in the global coordinate system.
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公开(公告)号:US12266187B2
公开(公告)日:2025-04-01
申请号:US17587699
申请日:2022-01-28
Applicant: GM Global Technology Operations LLC
Inventor: Brent Navin Roger Bacchus , Rakesh Kumar , Bo Yu
IPC: G06K9/00 , B60W40/105 , G06V20/58 , H04W88/10
Abstract: An automobile vehicle visual wireless-based positioning system, incudes an automobile vehicle having a radio receiver. A map contains candidate locations of access-points (APs) and access-point corresponding media-access-control (MAC) IDs. A wireless range sensor determines different ranges of various detected APs visible to the automobile vehicle. An image collection feature identifies image data visible to the automobile vehicle. A real-time feature matching element matching features identified by image collection feature with data from the map. A filter receives an output from the real-time feature matching element to generate an automobile vehicle pose.
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63.
公开(公告)号:US20250083663A1
公开(公告)日:2025-03-13
申请号:US18471841
申请日:2023-09-21
Applicant: GM Global Technology Operations LLC
Inventor: Yuan Zhang , Wenyuan Qi , Bo Yu , Tianxiang Cao
Abstract: A system for augmented-reality (AR)-assisted vehicle parking with operator-in-loop selections and alignments of feature point vicinities (FPVs) includes a vehicle, human-machine interfaces (HMIs), sensors detecting FPVs of a parking location and controllers. The controllers have a processor, memory, and input/output (I/O) ports in communication with the HMIs and sensors. The memory stores an AR-assisted parking application (ARAPA) executed by the processor. The AR-assisted parking application (ARAPA) has a training session (TS) and a live session (LS), and is activated upon completing parking at a parking spot at the parking location. The TS portion trains the ARAPA to recognize FPVs of the parking spot. The LS portion prompts an operator to select the parking spot, guides the operator into the parking spot by displaying trained FPVs onto live sensor data displayed on the HMI, and instructs the operator to align the trained FPVs with corresponding real-world FPVs by maneuvering the vehicle.
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公开(公告)号:US12179781B2
公开(公告)日:2024-12-31
申请号:US18060755
申请日:2022-12-01
Applicant: GM Global Technology Operations LLC
Inventor: SeyedAlireza Kasaiezadeh Mahabadi , Hualin Tan , Ruixing Long , Bharath Pattipati , Bo Yu
Abstract: A driver command interpreter system for a vehicle includes one or more controllers that execute instructions to receive a plurality of dynamic variables, vehicle configuration information, and driving environment conditions, and determine a target vehicle state during transient driving conditions based on the plurality of dynamic variables from the one or more sensors, the vehicle configuration information, and the driving environment conditions. The one or more controllers build a transient vehicle dynamic model based on the target vehicle state during transient driving conditions, the plurality of dynamic variables, the vehicle configuration information, and the driving environment conditions, and solve for desired zeros corresponding to the target vehicle state during transient conditions.
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公开(公告)号:US20240338793A1
公开(公告)日:2024-10-10
申请号:US18297870
申请日:2023-04-10
Applicant: GM Global Technology Operations LLC
Inventor: Kamran Ali , Bo Yu , Hariharan Krishnan , Fan Bai , Vivek Vijaya Kumar
CPC classification number: G06T3/4053 , G06T3/4046 , G06T7/20 , G06T2207/10028 , G06T2207/10044 , G06T2207/20084 , G06T2207/30236
Abstract: An infrastructure-supported perception system for connected vehicle applications includes one or more infrastructure perception sensors that capture perception data having a reduced resolution and a reduced frame rate. The reduced resolution includes a reduced number of pixels for a given frame when compared to a standard resolution and the reduced frame rate captures data at a lower rate when compared to a standard frame rate. The infrastructure-supported perception system includes one or more controllers that are part of a connected vehicle. The controllers of the connected vehicle are in wireless communication with the one or more infrastructure perception sensors and one or more servers, and the one or more servers are in wireless communication with the one or more infrastructure perception sensors. The controllers receive dynamic information regarding one or more detected objects in an environment surrounding the connected vehicle from the one or more servers.
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公开(公告)号:US20240321106A1
公开(公告)日:2024-09-26
申请号:US18189414
申请日:2023-03-24
Applicant: GM Global Technology Operations LLC
Inventor: Bo Yu , Brent Navin Roger Bacchus , Jiabin Shen , Yuan Zhang , Wenyuan Qi
CPC classification number: G08G1/167 , G08G1/0129 , G01C21/206
Abstract: A method can be used to provide smart notifications to avoid collisions while the vehicle maneuvers in a tight structural environment, such as a home garage or an underground parking lot. The method includes receiving historical vehicle-trajectory data. The historical vehicle-trajectory data includes the location and the heading of the vehicle for each of the plurality of historical trajectories along the structure. The method further includes clustering the plurality of historical trajectories of the vehicle along the structure by types of maneuvers to generate a plurality of trajectory clusters. The method also includes creating a probability distribution bitmap using the plurality of trajectory clusters and creating a topographic map based on the probability distribution bitmap.
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公开(公告)号:US20240272266A1
公开(公告)日:2024-08-15
申请号:US18168154
申请日:2023-02-13
Inventor: Can Carlak , Xueshen Liu , Bo Yu , Fan Bai , Zhuoqing Morley Mao
CPC classification number: G01S5/0268 , G01S5/0284 , G01S5/04
Abstract: A hybrid positioning system for a vehicle includes one or more controllers in wireless communication with a plurality of surrounding vehicles located in an environment surrounding the vehicle and a cellular software defined network including an edge positioning function. The one or more controllers execute instructions to receive, from the plurality of surrounding vehicles, relative position measurements that are each indicative of a position of one of the plurality of surrounding vehicles relative to the vehicle, wherein the relative position measurements are received by the one or more controllers in real-time. The one or more controllers receive a precise global position of the vehicle and the plurality of surrounding vehicles from the edge positioning function of the cellular software defined network, and fuse together the relative position measurements and the precise global position of the vehicle to determine a precise position of the vehicle.
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公开(公告)号:US20240182045A1
公开(公告)日:2024-06-06
申请号:US18061612
申请日:2022-12-05
Applicant: GM Global Technology Operations LLC
Inventor: Vivek Vijaya Kumar , Bo Yu , Donald K. Grimm , Fan Bai , Joon Hwang , Carl P. Darukhanavala , Carolyn Heather MacLeod , Muhammad Rehan
CPC classification number: B60W50/0205 , B60W50/06 , G01S17/86 , G01S19/485 , G06T7/70 , B60W2420/52 , B60W2520/00 , B60W2554/802 , B60W2555/20 , G06T2207/30252
Abstract: A vehicle system is provided for correcting in real-time a camera-based estimated position of a road object. The system includes a camera for generating an image input signal including image sensor data associated with the road object. The system further includes one or more input devices for generating a vehicle input signal including vehicle sensor data associated with a position, a speed, and a heading of the vehicle. The system further includes a computer, which includes one or more processors and a non-transitory computer readable medium (CRM) storing instructions. The processor is programmed to match the image sensor data and the vehicle sensor data to one another based on a common time of collection. The processor is further programmed to determine an error model and a deviation of a current camera-based position from a predicted position. The processor is further programmed to update the error model based on the deviation.
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公开(公告)号:US20230360406A1
公开(公告)日:2023-11-09
申请号:US17739417
申请日:2022-05-09
Applicant: GM Global Technology Operations LLC
Inventor: Bo Yu , Kamran Ali , Vivek Vijaya Kumar , Curtis L. Hay , Pei Xu , Hariharan Krishnan
CPC classification number: G06V20/58 , B60W40/04 , B60W2420/42 , B60W2420/52 , B60W2554/4041 , B60W2554/4049
Abstract: A method of determining the position of a vehicle includes generating a vehicle-based point cloud of objects in proximity to the vehicle, referenced to a vehicle-based coordinate system. The method also includes receiving an infrastructure-based point cloud, referenced to a global coordinate system, of objects detected by a camera mounted at a fixed location external to the vehicle, and registering the vehicle-based point cloud with the infrastructure-based point cloud to determine the vehicle position in the global coordinate system.
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公开(公告)号:US11623683B2
公开(公告)日:2023-04-11
申请号:US17304801
申请日:2021-06-25
Inventor: Jarred James Versical , Bo Yu , Ian Y. Hwa , Jonathan Howard Johnston
Abstract: In an exemplary embodiment, a test system is provided for testing a power steering system for a vehicle, the test system including a motor, one or more sensors, and a processor. The one or more sensors are configured to obtain sensor data pertaining to the motor. The processor is coupled to the one or more sensors and to the motor, and is configured to: determine, using the sensor data, a desired position of the motor for providing a desired amount of torque to the power steering system in order to reach one or more target behaviors: an inertia target, a spring target, a damper target, or a friction target for the power steering system; and provide instructions for the motor to move to the desired position for providing torque to the power steering system.
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