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公开(公告)号:US20220351622A1
公开(公告)日:2022-11-03
申请号:US17242905
申请日:2021-04-28
Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
Inventor: Lawrence A. Bush , Prabhjot Kaur , Alexander Telosa , Upali P. Mudalige
IPC: G08G1/14 , B60W30/06 , G06N3/04 , G06N3/08 , G07C5/00 , G07B15/02 , G06Q30/02 , G06Q20/12 , G01S13/931
Abstract: A method for reducing parking violations includes: searching for an empty parking spot in an area surrounding a vehicle; receiving, by a controller of the vehicle, parking restriction information in the area surrounding the vehicle, wherein the controller receives the parking restriction information from sensors of the vehicle; determining, by the controller of the vehicle, that the empty parking spot is invalid; and activating, by the controller of the vehicle, an alarm to alert a vehicle operator of the vehicle that the empty parking spot is invalid.
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2.
公开(公告)号:US11205343B2
公开(公告)日:2021-12-21
申请号:US16280152
申请日:2019-02-20
Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
Inventor: Lawrence A. Bush , Michael A. Losh , Aravindhan Mani
Abstract: Systems and methods are provided for interpreting traffic information by a vehicle. In one embodiment, a method includes: receiving, by a processor, sensor data from one or more sensing devices of the vehicle, where the sensor data depicts a traffic device in an environment of the vehicle; receiving, by the processor, map data associated with the environment of the vehicle, where the map data includes traffic devices; matching, by the processor, the traffic device of the sensor data with a traffic device of the map data; determining, by the processor, a probability distribution of a traffic signal associated with the matched traffic devices based on a Hidden Markov model (HMM); and planning, by the processor, control of the vehicle based on the probability distribution.
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公开(公告)号:US10859673B2
公开(公告)日:2020-12-08
申请号:US16177799
申请日:2018-11-01
Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
Inventor: Lawrence A. Bush , Brent N. Bacchus , Shuqing Zeng , Stephen W. Decker
IPC: G01S7/40 , G01S13/89 , G01S13/86 , G01S13/66 , G01S13/08 , G01S13/87 , G01S13/58 , G05D1/02 , G05D1/00
Abstract: A disambiguating system for disambiguating between ambiguous detections is provided. The system includes a plurality of modules, wherein each module is configured to disambiguate between ambiguous detections by selecting, as a true detection, one candidate detection in a set of ambiguous detections and wherein each module is configured to apply a different selection technique. The system includes: one or more modules configured to select as the true detection, the candidate detection whose associated position is closer to a position indicated by other data and one or more modules configured to select as the true detection, the candidate detection with the highest probability of being true based on other sensor data.
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4.
公开(公告)号:US20200318973A1
公开(公告)日:2020-10-08
申请号:US16372788
申请日:2019-04-02
Applicant: GM Global Technology Operations LLC
Inventor: Lawrence A. Bush , Fan Bai , Pengfei Ren , Eric L. Raphael , Mohannad Murad , Mohammad Naserian
Abstract: A method for vehicle tracking and localization includes receiving, by a controller, odometry data from a sensor of the first vehicle; geospatial data from a Global Positioning System (GPS) device of the first vehicle; inertial data from an inertial measurement unit (IMU) of the first vehicle; estimating an estimated-current location of the first vehicle and an estimated-current trajectory of the first vehicle using the odometry data from the sensor, the geospatial data from the GPS device, and the inertial data from the IMU of the first vehicle; inputting the inertial data into a Bayesian Network to determine a predicted location of the first vehicle and a predicted trajectory of the first vehicle, and updating the Bayesian Network using the estimated-current location and the estimated-current trajectory of the first vehicle using the odometry data and the geospatial data.
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公开(公告)号:US20230058508A1
公开(公告)日:2023-02-23
申请号:US17445450
申请日:2021-08-19
Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
Inventor: Lawrence A. Bush , Joseph F. Szczerba , Roy J. Mathieu
IPC: G01C21/36 , B60W50/16 , B60W60/00 , B60W40/105
Abstract: A method for providing a situational awareness interface for an occupant of an automated vehicle is provided. The method includes: generating a vehicle route graphic that displays a street level map of an area that includes a current location of the vehicle and an intended destination of the vehicle along with a visual depiction of a planned route and one or more alternate routes for the vehicle; determining a probability of requiring assistance or interaction and an estimated time of arrival for each of the planned route and the one or more alternate routes; providing a visual indication of the probability of requiring assistance or interaction and the estimated time of arrival for each of the planned route and the one or more alternate routes on the vehicle route graphic; and signaling a display device to display the vehicle route graphic.
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公开(公告)号:US11307039B2
公开(公告)日:2022-04-19
申请号:US16439188
申请日:2019-06-12
Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
Inventor: Lawrence A. Bush , Michael A. Losh , Aravindhan Mani , Upali P. Mudalige
Abstract: A system for generating a map includes a processing device configured to determine a provenance of each received map of a plurality of maps, parse each received map into objects of interest, and compare the objects of interest to identify one or more sets of objects representing a common feature. For each set of objects, the processing device is configured to select a subset of the set of objects based on the provenance associated with each object in the set of objects, and calculate a similarity metric for each object in the subset. The similarity metric is selected from an alignment between an object and a reference object in the subset, and/or a positional relationship between the object and the reference object. The processing device is configured to generate a common object representing the common feature based on the similarity metric, and generate a merged map including the common object.
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公开(公告)号:US20210018928A1
公开(公告)日:2021-01-21
申请号:US16515592
申请日:2019-07-18
Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
Inventor: Lawrence A. Bush , Upali P. Mudalige , Zachariah E. Tyree , Wei Tong , Shuqing Zeng
Abstract: Methods and systems are provided for detecting objects within an environment of a vehicle. In one embodiment, a method includes: receiving, by a processor, image data sensed from the environment of the vehicle; determining, by a processor, an area within the image data that object identification is uncertain; controlling, by the processor, a position of a lighting device to illuminate a location in the environment of the vehicle, wherein the location is associated with the area; controlling, by the processor, a position of one or more sensors to obtain sensor data from the location of the environment of the vehicle while the lighting device is illuminating the location; identifying, by the processor, one or more objects from the sensor data; and controlling, by the processor, the vehicle based on the one or more objects.
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公开(公告)号:US20190337451A1
公开(公告)日:2019-11-07
申请号:US15969292
申请日:2018-05-02
Applicant: GM Global Technology Operations LLC
Inventor: Brent N. Bacchus , Lawrence A. Bush , Shifang Li , Evripidis Paraskevas , Prakash Mohan Peranandam , Yuchen Zhou
IPC: B60Q9/00
Abstract: Technical solutions are described herein for providing driver notification in a vehicle. An example system includes one or more sensors that measure one or more attributes of a remote object in a predetermined vicinity of the vehicle. The system further includes an output device that provides a notification to a driver. The system further includes a remote object monitoring system that generates a driver notification to be provided via the output device based on the attributes of the remote object. Generating the driver notification includes determining a recklessness score for the remote object based on the attributes of the remote object. Generating the driver notification further includes, in response to the recklessness score exceeding a predetermined threshold, generating the driver notification that comprises a directional information that provides a spatial awareness of a location of the remote object in relation to the vehicle.
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公开(公告)号:US10442443B1
公开(公告)日:2019-10-15
申请号:US15975107
申请日:2018-05-09
Applicant: GM Global Technology Operations LLC
Inventor: Shifang Li , Donald K. Grimm , Yuchen Zhou , Brent N. Bacchus , Lawrence A. Bush
Abstract: Technical solutions are described for providing a driver performance feedback to a driver of a vehicle. An example method includes receiving, by a controller, a first maneuver control from an automated driving system of the vehicle. The method further includes receiving, by the controller, a second maneuver control from the driver. The method further includes, in response to the first maneuver control being different from the second maneuver control, generating a driver notification that is indicative of the first maneuver control from the automated driving system, and operating the vehicle using the second maneuver control.
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公开(公告)号:US11327506B2
公开(公告)日:2022-05-10
申请号:US16689672
申请日:2019-11-20
Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
Inventor: Lawrence A. Bush , Brent N. Bacchus , James P. Neville , Upali P. Mudalige
Abstract: A system and method for monitoring a road segment includes determining a geographic position of a vehicle in context of a digitized roadway map. A perceived point cloud and a mapped point cloud associated with the road segment are determined. An error vector is determined based upon a transformation between the mapped point cloud and the perceived point cloud. A first confidence interval is derived from a Gaussian process that is composed from past observations. A second confidence interval associated with a longitudinal dimension and a third confidence interval associated with a lateral dimension are determined based upon the mapped point cloud and the perceived point cloud. A Kalman filter analysis is executed to dynamically determine a position of the vehicle relative to the roadway map based upon the error vector, the first confidence interval, the second confidence interval, and the third confidence interval.
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