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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：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：US20250137815A1
公开(公告)日：2025-05-01
申请号：US18494097
申请日：2023-10-25
Applicant: GM Global Technology Operations LLC
Inventor： Gui Chen , Bo Yu , Shuqing Zeng , Joon Hwang , Mason David Gemar , Fan Bai , Vivek Vijaya Kumar
IPC: G01C21/00
Abstract: A system for resolving discrepancies in map data includes one or more central computers in wireless communication with one or more vehicles. The one or more central computers are programmed to receive a first map dataset and a second map dataset. The one or more central computers are further programmed to receive a plurality of crowdsourced map datasets. Each of the plurality of crowdsourced map datasets represents the predefined geographical area. The one or more central computers are further programmed to compare each of the plurality of crowdsourced map datasets with the first map dataset and the second map dataset to determine one or more common lane lines. The one or more central computers are further programmed to determine a fused map dataset based on the first map dataset, the second map dataset, the plurality of crowdsourced map datasets, and the one or more common lane lines.
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公开(公告)号：US20250042433A1
公开(公告)日：2025-02-06
申请号：US18364505
申请日：2023-08-03
Applicant: GM Global Technology Operations LLC
Inventor： Bo Yu , Gui Chen , Fan Bai , Shuqing Zeng , Joon Hwang , Mason David Gemar
Abstract: A method for merging lane line maps includes determining a road topology of a road segment. The method also includes identifying a plurality of fused points based at least in part on the road topology and based at least in part on a first lane line map of the road segment and a second lane line map of the road segment. The method also includes forming a fused lane line map based at least in part on the plurality of fused points. The method also includes performing a first action based at least in part on the fused lane line map.
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公开(公告)号：US12240474B2
公开(公告)日：2025-03-04
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
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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Patent Agency Ranking
公开(公告)号：US20250035463A1
公开(公告)日：2025-01-30
申请号：US18359017
申请日：2023-07-26
Applicant: GM Global Technology Operations LLC
Inventor： Bo Yu , Gui Chen , Fan Bai , Shuqing Zeng , Joon Hwang , Mason David Gemar
Abstract: A method for crowd-sourcing lane line map data for a vehicle includes receiving a plurality of observations. The method also includes classifying the plurality of observations into a plurality of observation categories. Each of the plurality of observation categories includes at least one of the plurality of observations. The method also includes determining a plurality of aligned point clouds based at least in part on the plurality of observations. One of the plurality of aligned point clouds corresponds to each of the plurality of observation categories. The method also includes determining a plurality of lane line maps based at least in part on the plurality of aligned point clouds. One of the plurality of lane line maps corresponds to each of the plurality of aligned point clouds. The method also includes updating a map database based at least in part on the plurality of lane line maps.
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公开(公告)号：US12111176B2
公开(公告)日：2024-10-08
申请号：US17821898
申请日：2022-08-24
Applicant: GM Global Technology Operations LLC
Inventor： Bo Yu , Joon Hwang , Gui Chen , Carl P. Darukhanavala , Vivek Vijaya Kumar , Shu Chen , Donald K. Grimm , Fan Bai
CPC classification number: G01C21/3822 , G01C21/3841 , G01C21/3878
Abstract: A method includes receiving sensor data from a plurality of sensors of a plurality of vehicles. The sensor data includes vehicle GPS data and sensed lane line data of the roadway. The method further includes creating a plurality of multi-layer bitmaps for each of the plurality of vehicles using the sensor data, fusing the plurality of the multi-layer bitmaps of each of the plurality of vehicles to create a fused multi-layer bitmap, creating a plurality of multi-layer probability density bitmaps using the fused multi-layer bitmap, extracting lane line data from the plurality of multi-layer probability density bitmaps, and creating the high-definition (HD) map of the roadway using the multi-layer probability density bitmaps and the lane line data extracted from the plurality of multi-layer probability density bitmaps.
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公开(公告)号：US20240094411A1
公开(公告)日：2024-03-21
申请号：US17933895
申请日：2022-09-21
Applicant: GM Global Technology Operations LLC
Inventor： Gui Chen , Shu Chen , Bo Yu , Joon Hwang , Carl P. Darukhanavala , Vivek Vijaya Kumar
CPC classification number: G01S19/396 , G01S19/40
Abstract: A global positioning system (GPS)-bias detection and reduction system including a GPS-bias model having GPS statistical data creating a database representing data collected from a vehicle group having thousands or multiple thousands of vehicles saved in a database. At least one newly collected vehicle GPS data point is compared to the GPS statistical data to reduce negative effects of GPS-bias and to update the vehicle GPS-bias correction based on a previous GPS-bias model. A selected road node and a segment of a roadway have a map matching performed using a nearest service from a collection location of the GPS statistical data. A GPS-bias is calculated using a look-up of the database. An estimated horizontal position error (EHPE) defining a quality indicator is applied to distinguish a good quality GPS statistical data from a poor quality GPS statistical data.
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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：US12222217B2
公开(公告)日：2025-02-11
申请号：US17930503
申请日：2022-09-08
Applicant: GM Global Technology Operations LLC
Inventor： Bo Yu , Fan Bai , Gui Chen , Joon Hwang , Carl P. Darukhanavala , Vivek Vijaya Kumar , Shu Chen , Donald K. Grimm
Abstract: A method of creating a high-definition (HD) map of a roadway includes receiving a multi-layer probability density bitmap. The multi-layer probability density bitmap represents a plurality of lane lines of the roadway sensed by a plurality of sensors of a plurality of vehicles. The multi-layer probability density bitmap includes a plurality of points. The method further includes recursively conducting a hill climbing search using the multi-layer probability density bitmap to create a plurality of lines. In addition, the method includes creating the HD map of the roadway using the plurality of lines determined by the hill climbing search.
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