公开(公告)号：US20230365124A1

公开(公告)日：2023-11-16

申请号：US17663069

申请日：2022-05-12

Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC

Inventor： Mohammadali Shahriari ,  Vaibhav J Lawand ,  Hassan Askari ,  Rakesh Kumar ,  Ricky Lin

IPC: B60W30/09 ,  B60W30/095 ,  B60W40/09 ,  G08G1/081

CPC classification number: B60W30/09 ,  B60W30/095 ,  B60W40/09 ,  G08G1/081 ,  B60W2420/42 ,  B60W2554/4049 ,  B60W2552/53

Abstract: Systems and methods of alerting an occupant of a vehicle to an obstacle to a side of the vehicle. The systems and methods include receiving turn indicating data from at least one vehicle system, receiving perception data from a perception system of the vehicle, predicting a vehicle turn based on the turn predicting data, generating an obstacle alert, which is output through an output device of the vehicle, when an obstacle is detected within a first sized detection zone or a second sized detection zone using the perception data, and switching from using the first sized detection zone to using the second sized detection zone for generating the obstacle alert in response to predicting the vehicle turn. The second sized detection zone is extended as compared to the first sized detection zone.

公开(公告)号：US11953602B2

公开(公告)日：2024-04-09

申请号：US16951502

申请日：2020-11-18

Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC

Inventor： Brent N. Bacchus ,  Rakesh Kumar ,  Keun Jae Kim

IPC: G01S17/89 ,  G01S17/86 ,  G01S17/931 ,  G06N3/02 ,  G06V20/56

CPC classification number: G01S17/89 ,  G01S17/86 ,  G01S17/931 ,  G06N3/02 ,  G06V20/56

Abstract: A computer-implemented method for detecting one or more three-dimensional structures in a proximity of a vehicle at runtime includes generating, by a processor, a birds-eye-view (BEV) camera image of the proximity of the vehicle, the BEV camera image comprising two-dimensional coordinates of one or more structures in the proximity. The method further includes generating, by the processor, a BEV height image of the proximity of the vehicle, the BEV height image providing height of the one or more structures in the proximity. The method further includes detecting one or more edges of the three-dimensional structures based on the BEV camera image and the BEV height image. The method further includes generating models of the three-dimensional structures by plane-fitting based on the edges of the one or more three-dimensional structures. The method further includes reconfiguring a navigation system receiver based on the models of the three-dimensional structures.

公开(公告)号：US20220097730A1

公开(公告)日：2022-03-31

申请号：US17034898

申请日：2020-09-28

Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC

Inventor： Brent N. Bacchus ,  Rakesh Kumar

IPC: B60W60/00 ,  G01S19/46 ,  G01S19/48 ,  G01S19/42 ,  G01C21/34 ,  B60W30/095 ,  B60W30/09

Abstract: Methods and systems are provided for navigating a mobile platform in an environment. A processor obtains information about an object in the environment, obtains information about a first satellite, and estimates a probability indicator for a non-line of sight signal transmission between a current satellite location of the first satellite and a current location of the mobile platform using the information about the first satellite and the information about the object. The processor further determines a discrepancy indicator using a movement information of the mobile platform and a movement information of the first satellite such that a weighting indicator can be determined using the estimated probability indicator and the determined discrepancy indicator. The processor then assigns a weighting indicator to a satellite signal transmitted from the first satellite in order to provide a first weighted signal for navigating the mobile platform.

公开(公告)号：US20210055426A1

公开(公告)日：2021-02-25

申请号：US16543709

申请日：2019-08-19

Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC

Inventor： Jayant Bansal ,  Rakesh Kumar

IPC: G01S19/39 ,  G05D1/02

Abstract: The present application relates to a method and apparatus including a sensor to detect a current location, a memory for storing a first set of Kalman filter parameters associated with a first environmental condition and a second set of Kalman filter parameters associated with a second environmental condition, a processor for performing an assisted driving algorithm according to the first set of Kalman filter parameters, for receiving the current location, for determining a second set of Kalman filter parameters in response to the current location, for performing the assisted driving algorithm according to the second set of Kalman filter parameters, and for generating a control signal in response to the assisted driving algorithm according to the second set of Kalman filter parameters, and a vehicle controller operative to control a vehicle in response to the control signal.