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公开(公告)号：US20220250652A1
公开(公告)日：2022-08-11
申请号：US17174100
申请日：2021-02-11
Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
Inventor： Mohammed H. Al Qizwini , David H. Clifford , Mason D. Gemar
Abstract: A system and method are provided for controlling a vehicle. In one embodiment, a system includes: a sensor system configured to generate sensor data sensed from an environment of the vehicle; and a control module configured to, by a processor, predict parked vehicles within the scene of the environment, identify an outer edge associated with the parked vehicles, generate a virtual lane line based on the outer edge associated with the parked vehicles, and generate signal data based on the virtual lane line to at least one of display the virtual lane line within the scene and control the vehicle.
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公开(公告)号：US20210142659A1
公开(公告)日：2021-05-13
申请号：US16680973
申请日：2019-11-12
Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
Inventor： Shu Chen , Jinzhu Chen , Mubassira Khan , Mason D. Gemar
IPC: G08G1/01 , G08G1/0967 , G08G1/13
Abstract: Near-real-time monitoring and analysis of a road segment are described, and include a remotely-located controller that is arranged to wirelessly communicate with a plurality of connected vehicles. This includes periodically capturing vehicle positional data and associated temporal data that are communicated from a subset of the connected vehicles, wherein the subset of the connected vehicles traverse a road segment associated with the digitized roadway map. Vehicle positional data and the associated temporal data are analyzed over a period of time, including evaluating the vehicle positional data in context of the digitized roadway map. Occurrence of an anomalous traffic pattern for the road segment can be detected based upon the evaluating of the vehicle positional data in context of the digitized roadway map and the associated temporal data. A control action is executed based upon detection of the occurrence of the anomalous traffic pattern for the road segment.
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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：US20210048815A1
公开(公告)日：2021-02-18
申请号：US16542812
申请日：2019-08-16
Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
Inventor： Donal B. McErlean , Matthew K. Titsworth , Mason D. Gemar , Rajesh Ayyalasomayajula , Brett Hallum
Abstract: The present application relates to predicting an automated driving system disengagement for a motor vehicle by calculating a route between a host vehicle location and a destination, segmenting the route into at least a first route segment and a second route segment, generating a first motion path for the first route segment and controlling the host vehicle over the first route segment, generating a second motion path for the second route segment and simulating a simulated host vehicle operation over the second route segment, predicting a disengagement event in response to the simulated host vehicle operation over the second route segment, and providing a driver alert indicative of the disengagement event while controlling the host vehicle over the first route segment.
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公开(公告)号：US11922704B2
公开(公告)日：2024-03-05
申请号：US17551567
申请日：2021-12-15
Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
Inventor： Najah Ghalyan , Kaydee Hartmann , Sean D. Vermillion , Mason D. Gemar , Rajesh Ayyalasomayajula
CPC classification number: G06V20/588 , B60W60/001 , G01C21/30 , G06V20/17 , G08G1/0112 , B60W2552/53
Abstract: A method for detecting road edges at a predetermined intersection, comprising: receiving, by the controller, aerial imagery data about the predetermined intersection; receiving, by the controller, vehicle telemetry data from at least one vehicle passing through the predetermined intersection; detecting, using the aerial imagery data and generative adversarial networks (GANs) executed on the controller, road edges at the predetermined intersection; classifying, using the vehicle telemetry data and a random forest classifier (RFC) executed on the controller, each vehicle trajectory passing through the predetermined intersection with a label corresponding to a unique maneuver to create a maneuver labeling at the predetermined intersection; constructing, using the maneuver labeling determined by the RFC and the road edges, a probabilistic finite state automata (PFSA) to pair inbound lanes with outbound lanes at the predetermined intersection; and determining lane edges at the predetermined intersection using a homotopy model.
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Patent Agency Ranking
公开(公告)号：US20230186646A1
公开(公告)日：2023-06-15
申请号：US17551567
申请日：2021-12-15
Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
Inventor： Najah Ghalyan , Kaydee Hartmann , Sean D. Vermillion , Mason D. Gemar , Rajesh Ayyalasomayajula
CPC classification number: G06V20/588 , G08G1/0112 , G06V20/17 , B60W60/001 , G01C21/30 , B60W2552/53
Abstract: A method for detecting road edges at a predetermined intersection, comprising: receiving, by the controller, aerial imagery data about the predetermined intersection; receiving, by the controller, vehicle telemetry data from at least one vehicle passing through the predetermined intersection; detecting, using the aerial imagery data and generative adversarial networks (GANs) executed on the controller, road edges at the predetermined intersection; classifying, using the vehicle telemetry data and a random forest classifier (RFC) executed on the controller, each vehicle trajectory passing through the predetermined intersection with a label corresponding to a unique maneuver to create a maneuver labeling at the predetermined intersection; constructing, using the maneuver labeling determined by the RFC and the road edges, a probabilistic finite state automata (PFSA) to pair inbound lanes with outbound lanes at the predetermined intersection; and determining lane edges at the predetermined intersection using a homotopy model.
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公开(公告)号：US11654918B2
公开(公告)日：2023-05-23
申请号：US16533274
申请日：2019-08-06
Applicant: GM Global Technology Operations LLC
Inventor： Orhan Bulan , Sheetal Mahesh , Yehenew G. Mengistu , Mason D. Gemar , David H. Clifford
CPC classification number: B60W40/06 , B60W40/072 , G05B13/0265 , G05D1/0088 , G05D1/0221 , G06N5/048 , G06N20/10 , G06V20/588 , B60W2552/30 , G05D2201/0213
Abstract: System and methods for estimating a centerline of a road that separates traffic moving in opposite directions include aggregating a data set from each of a plurality of vehicles traversing the road over a period of time as telemetry data. Each data set of the telemetry data indicates a location and a heading. The method includes clustering the data sets of the telemetry data based on the heading indicated by each data set, and identifying a separator to separate the data sets indicating a first heading from the data sets indicating a second heading, opposite to the first heading. The centerline is estimated based on applying a spatial smoothing to the separator.
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公开(公告)号：US20220197287A1
公开(公告)日：2022-06-23
申请号：US17130274
申请日：2020-12-22
Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
Inventor： Benjamin L. Williams , Shefali P. Bhavsar , Mason D. Gemar
Abstract: A system and method for automated vehicle control includes referencing map based attributes relevant to an ego vehicles GPS coordinates, establishing control points based upon the map based attributes, and controlling the ego vehicle to the control points with at least one of a steering system, braking system, and powertrain system.
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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：US20210041880A1
公开(公告)日：2021-02-11
申请号：US16533274
申请日：2019-08-06
Applicant: GM Global Technology Operations LLC
Inventor： Orhan Bulan , Sheetal Mahesh , Yehenew G. Mengistu , Mason D. Gemar , David H. Clifford
Abstract: System and methods for estimating a centerline of a road that separates traffic moving in opposite directions include aggregating a data set from each of a plurality of vehicles traversing the road over a period of time as telemetry data. Each data set of the telemetry data indicates a location and a heading. The method includes clustering the data sets of the telemetry data based on the heading indicated by each data set, and identifying a separator to separate the data sets indicating a first heading from the data sets indicating a second heading, opposite to the first heading. The centerline is estimated based on applying a spatial smoothing to the separator.
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