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公开(公告)号:US20220139223A1
公开(公告)日:2022-05-05
申请号:US17086927
申请日:2020-11-02
Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
Inventor: Joon Hwang , Mason D. Gemar , Geoffrey Wakefield , Donal B. McErlean , Scott E. Jackson , Jim McCord , Damien P. Rennick
Abstract: Systems and method are provided for predicting a vehicle pose. In one embodiment, a system includes a non-transitory computer readable medium. The non-transitory computer readable medium includes: an asynchronous prediction module configured to, by a processor, receive vehicle data from a vehicle, and compute a prediction of vehicle pose from the vehicle data, wherein the computation is performed asynchronously using a vehicle time frame and a common coordinate system; and a synchronous prediction module configured to, by the processor, compute a final prediction of the vehicle pose across the vehicle population based on the prediction of vehicle pose from the asynchronous prediction module, wherein the computation is performed synchronously using a global time frame and the common coordinate system.
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公开(公告)号:US11386784B2
公开(公告)日:2022-07-12
申请号:US17086927
申请日:2020-11-02
Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
Inventor: Joon Hwang , Mason D. Gemar , Geoffrey Wakefield , Donal B. McErlean , Scott E. Jackson , Jim McCord , Damien P. Rennick
Abstract: Systems and method are provided for predicting a vehicle pose. In one embodiment, a system includes a non-transitory computer readable medium. The non-transitory computer readable medium includes: an asynchronous prediction module configured to, by a processor, receive vehicle data from a vehicle, and compute a prediction of vehicle pose from the vehicle data, wherein the computation is performed asynchronously using a vehicle time frame and a common coordinate system; and a synchronous prediction module configured to, by the processor, compute a final prediction of the vehicle pose across the vehicle population based on the prediction of vehicle pose from the asynchronous prediction module, wherein the computation is performed synchronously using a global time frame and the common system.
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公开(公告)号:US10719792B2
公开(公告)日:2020-07-21
申请号:US15935617
申请日:2018-03-26
Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
Inventor: Daniel J. Fagnant , Donal B. McErlean , Paul A. Avery , Jim McCord , Trevor Eckler
Abstract: A rideshare system including: a memory including executable instructions; a controller to execute the executable instructions; one or more mobile computing devices configured to transmit pickup location data and drop-off location data to the controller; a rideshare vehicle configured to transmit vehicle location data to the controller; and where the executable instructions enable the controller to: receive the pickup location data from the one or more mobile computing devices; receive the drop-off location data from the one or more mobile computing devices; receive vehicle location data from the rideshare vehicle; based on the pickup location data, drop-off location data, and vehicle location data, calculate rideshare service priority variable data for each of the one or more mobile computing devices; transmit, to the rideshare vehicle, the rideshare service priority variable data, pickup location data, and drop-off location data for at least one of the one or more mobile computing devices.
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公开(公告)号:US20190295014A1
公开(公告)日:2019-09-26
申请号:US15935617
申请日:2018-03-26
Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
Inventor: Daniel J. Fagnant , Donal B. McErlean , Paul A. Avery , Jim McCord , Trevor Eckler
Abstract: A rideshare system including: a memory including executable instructions; a controller to execute the executable instructions; one or more mobile computing devices configured to transmit pickup location data and drop-off location data to the controller; a rideshare vehicle configured to transmit vehicle location data to the controller; and where the executable instructions enable the controller to: receive the pickup location data from the one or more mobile computing devices; receive the drop-off location data from the one or more mobile computing devices; receive vehicle location data from the rideshare vehicle; based on the pickup location data, drop-off location data, and vehicle location data, calculate rideshare service priority variable data for each of the one or more mobile computing devices; transmit, to the rideshare vehicle, the rideshare service priority variable data, pickup location data, and drop-off location data for at least one of the one or more mobile computing devices.
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