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公开(公告)号:US12110024B2
公开(公告)日:2024-10-08
申请号:US17136580
申请日:2020-12-29
Applicant: GM Global Technology Operations LLC
Inventor: Vivek Vijaya Kumar , Kausalya Singuru , Kevin A. O'Dea , Carl P. Darukhanavala
CPC classification number: B60W30/162 , B60W60/001 , B60W2420/403 , B60W2420/408 , B60W2554/404 , B60W2554/802
Abstract: A method includes obtaining information about a lead vehicle. The lead vehicle is traveling directly ahead of the host vehicle and the information includes velocity of the lead vehicle and a gap g between the host vehicle and the lead vehicle. Based on detecting a change in the velocity of the lead vehicle in the information, a corresponding desired acceleration is computed for the host vehicle using perceived acceleration of the lead vehicle to maintain the gap g within a specified range of gap values. The perceived acceleration of the lead vehicle is based on the change in the velocity indicated by the information. Based on a check of parameters involved in the computing the corresponding desired acceleration, a modified desired acceleration is computed for the host vehicle using a lag for the lead vehicle that results in an intended acceleration of the lead vehicle differing from the perceived acceleration.
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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: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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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: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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公开(公告)号:US20240385010A1
公开(公告)日:2024-11-21
申请号:US18318247
申请日:2023-05-16
Applicant: GM Global Technology Operations LLC
Inventor: Gui Chen , Bo Yu , Shuqing Zeng , Fan Bai , Joon Hwang , Vivek Vijaya Kumar , Mason David Gemar , Carl P. Darukhanavala
IPC: G01C21/00
Abstract: A system for fusing two or more versions of map data together includes one or more central computers that receive road network data representing a road network for a predefined geofenced area. The central computers compute a plurality of points that are each positioned at a predetermined distance from one another. The central computers create a plurality of bounding boxes for the road network based on the plurality of points and create a set of closest matched map data points for each bounding box that is part of the road network by executing a map-matching registration algorithm to align the two or more versions of map data with one another. The central computers execute a maximum likelihood estimation algorithm to determine probability distribution parameters of the set of closest matched map data points compared to the ground truth map data.
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公开(公告)号:US20240085210A1
公开(公告)日:2024-03-14
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
IPC: G01C21/00
CPC classification number: G01C21/3822 , G01C21/3841 , G01C21/3867
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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公开(公告)号:US20240068836A1
公开(公告)日:2024-02-29
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
IPC: G01C21/00
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:US12270918B2
公开(公告)日:2025-04-08
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
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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