公开(公告)号：US20240278717A1

公开(公告)日：2024-08-22

申请号：US18171504

申请日：2023-02-20

Applicant: GM Global Technology Operations LLC

Inventor： Esther Anderson ,  Fan Bai ,  Donald K. Grimm ,  Paul E. Krajewski ,  Jace C. Stokes ,  Peter Finnegan ,  Hannah Elizabeth Wagner ,  Himabindu G. Sundaram ,  Mark T. Gaylord ,  Travis Scott Hester ,  Mark L. Reuss

IPC: B60Q9/00 ,  G06V10/26 ,  G06V10/764 ,  G06V20/59 ,  G06V40/20 ,  G10L13/04 ,  H04N7/18 ,  H04W4/40

CPC classification number: B60Q9/00 ,  G06V10/26 ,  G06V10/764 ,  G06V20/59 ,  G06V40/28 ,  G10L13/04 ,  H04N7/183 ,  H04W4/40

Abstract: A method for enabling vehicle connected services for a hearing-impaired vehicle occupant includes receiving sensor data from a plurality of sensors of a vehicle. The sensor data includes scene data indicative of a scene inside the vehicle and outside the vehicle. The method further includes determining that the hearing-impaired vehicle occupant is articulating sign language using the sensor data. Also, the method includes determining a vehicle-occupant message corresponding to the sign language articulated by the hearing-impaired vehicle occupant to generate vehicle occupant-message data in response to determining that the hearing-impaired vehicle occupant is articulating sign language. The method further includes transmitting the vehicle occupant-message data and the scene data to a remote system in response to generating the vehicle occupant-message data. Further, the method includes receiving a vehicle connected service from the remote system.

公开(公告)号：US20240251160A1

公开(公告)日：2024-07-25

申请号：US18158743

申请日：2023-01-24

Applicant: GM Global Technology Operations LLC

Inventor： Chuan Li ,  Jace C. Stokes ,  Sushama K. Mithapally ,  Fan Bai

IPC: H04N23/65 ,  G06T7/13 ,  G06T7/194 ,  G06T7/20 ,  G06T7/60 ,  G06V10/75 ,  G06V10/764

CPC classification number: H04N23/651 ,  G06T7/13 ,  G06T7/194 ,  G06T7/20 ,  G06T7/60 ,  G06V10/751 ,  G06V10/764 ,  G06T2207/10024 ,  G06T2207/30252

Abstract: A system for bandwidth saving for wireless cameras using motion vectors includes wireless cameras disposed within the vehicle, and capturing input image data. A control module, having a processor, memory, and input/output (I/O) ports, executes control logic stored in memory. A first control logic receives, real-time input image data from the cameras. A second control logic processes the input image data to maintain (Wi-Fi) bandwidth utilization within the vehicle below a predetermined threshold and maintains and maximizes real-time image data streaming quality through semantic segmentation and background memorization. A third control logic generates an output including background and foreground image portions. The output is transmitted to a human-machine interface (HMI) within the vehicle and periodically replaces the background portion with a cached background scene that is transmitted to the HMI.

公开(公告)号：US20240195858A1

公开(公告)日：2024-06-13

申请号：US18065135

申请日：2022-12-13

Applicant: GM Global Technology Operations LLC

Inventor： Fan Bai ,  Lakshmi V. Thanayankizil ,  John Sergakis

IPC: H04L65/80 ,  H04W72/54

CPC classification number: H04L65/80 ,  H04W72/54

Abstract: A system for providing quality of experience (QoE) metrics to incoming application data transferred to a vehicle includes a cloud-based dynamically updatable application QoE policy engine adapted to establish QoE metrics and prioritization criteria for incoming application data and to assign QoE policies to the vehicle, and a data controller within the vehicle adapted to receive QoE policies from the application QoE policy engine and enforce the QoE policies assigned, wherein the data controller is adapted to enforce the QoE policies assigned with an enhanced distributed control access (EDCA) algorithm adapted to prioritize incoming application data traffic received via IEEE 802.11 standard supported wireless LAN technology channels and with a resource block allocation and network slicing (RAN) algorithm adapted to prioritize incoming application data traffic received via cellular channels.

公开(公告)号：US20240171939A1

公开(公告)日：2024-05-23

申请号：US18049891

申请日：2022-10-26

Applicant: GM Global Technology Operations LLC

Inventor： Jinzhu Chen ,  Zijun Han ,  Aaron Adler ,  John Sergakis ,  Fan Bai

IPC: H04W4/02 ,  H04W4/40 ,  H04W64/00

CPC classification number: H04W4/027 ,  H04W4/40 ,  H04W64/006

Abstract: A method and system of resilient UWB target localization for a vehicle are provided. The system comprises a UWB tag arranged to be mobile and trackable by way of a sensor signal and at least three UWB anchors. Each anchor is in communication with the tag. The system further comprises a gateway in communication with the anchors. The gateway comprises an ECU arranged to receive sensor signals from UWB anchors. The ECU comprises a preprocessing module, a clustering module, and a Bayesian module. The preprocessing module is arranged to align sensor signals at an aligned timestamp to define aligned data. The clustering module is arranged to cluster points of intersections, defining a sensed location for each cluster. The Bayesian module is arranged to determine a real-time location of the tag based on a Bayesian probability function to match the sensed location with a predicted location of the tag.

公开(公告)号：US11965978B2

公开(公告)日：2024-04-23

申请号：US17511959

申请日：2021-10-27

Applicant: GM Global Technology Operations LLC

Inventor： Kamran Ali ,  Wende Zhang ,  Fan Bai

IPC: G01S7/40 ,  B60W50/00 ,  B60W60/00

CPC classification number: G01S7/40 ,  B60W50/00 ,  B60W2050/0052 ,  B60W2050/0083 ,  B60W60/001 ,  B60W2420/408 ,  B60W2556/50

Abstract: A calibration pipeline for 6DoF alignment parameters for an autonomous vehicle includes an automated driving controller instructed to receive inertial measurement unit (IMU) poses and final radar poses and determine smoothened IMU poses from the IMU poses and smoothened final radar poses from the final radar poses. The automated driving controller aligns the smoothened IMU poses and the smoothened final radar poses with one another to create a plurality of radar-IMU A, B relative pose pairs. The automated riving controller determines a solution yielding a threshold number of inliers of further filtered radar-IMU A, B relative pose pairs, randomly samples the further filtered radar-IMU A, B relative pose pairs with replacements several times to determine a stream of filtered radar-IMU A, B relative pose pairs, and solves for a solution X for the stream of filtered radar-IMU A, B relative pose pairs.

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.

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.

公开(公告)号：US11893882B2

公开(公告)日：2024-02-06

申请号：US17581528

申请日：2022-01-21

Applicant: GM Global Technology Operations LLC

Inventor： Fan Bai ,  Donald K. Grimm ,  Paul E. Krajewski ,  Jiang-Ling Du ,  Mason David Gemar

IPC: G08G1/01

CPC classification number: G08G1/0112 ,  G08G1/0129 ,  G08G1/0133

Abstract: A system is provided for mitigating a road network congestion. The system includes a plurality of motor vehicles positioned in associated locations in a road network. Each vehicle has one or more sensors generating an input and a Telematics Control Unit (TCU) for generating at least one location signal for a location of the associated motor vehicle and at least one event signal for an event related to the associated motor vehicle, with the location signal and the event signal corresponding to a High Speed Vehicle Telemetry Data (HSVT data) based on the input from the sensors. The system further includes a computer, which communicates with a display device and the TCUs. The computer includes a processor and a computer readable medium including instructions, such that the processor is programmed to identify the congestion and determine that the congestion is a recurring or a non-recurring congestion.

公开(公告)号：US11875611B2

公开(公告)日：2024-01-16

申请号：US17392480

申请日：2021-08-03

Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC

Inventor： Mohammad Naserian ,  Paul E. Krajewski ,  Fan Bai ,  Abby Szafranski ,  Donald K. Grimm ,  Craig A. Kollar ,  Bryan Quintanilla

IPC: G07C5/00 ,  H04W4/40

CPC classification number: G07C5/008 ,  G07C5/006 ,  H04W4/40

Abstract: According to one or more examples, a system includes an observer vehicle, and a vehicle in a predetermined vicinity of the observer vehicle. The observer vehicle detects an operating condition of the vehicle using one or more perception devices. The observer vehicle determines that the operating condition does not satisfy a predetermined norm. The observer vehicle generates a message indicating the operating condition of the vehicle. The observer vehicle identifies a communication identifier of the vehicle. The observer vehicle sends the message to be received by the vehicle using the communication identifier via a vehicle to everything (V2X) communication module.

公开(公告)号：US20240004715A1

公开(公告)日：2024-01-04

申请号：US17852722

申请日：2022-06-29

Applicant: GM Global Technology Operations LLC

Inventor： Fan Bai ,  Markus Jochim ,  Douglas C. Martin ,  Mahesh Pottelu ,  Ahmad El Baba

IPC: G06F9/50 ,  G07C5/08

CPC classification number: G06F9/5033 ,  G07C5/0841

Abstract: A system for cloud coordinated vehicle data collection includes an onboard vehicle data management subsystem and a remotely-located back-office subsystem. Each subsystem includes one or more control modules having a processor, a memory, and input/output (I/O) ports. The control modules execute program code portions stored in memory. A first program code portion collects vehicle data from onboard vehicle data sources. A second program code portion determines which of several distinct communications systems will be used to transmit the vehicle data to the remotely-located back-office subsystem. A third program code portion causes the remotely-located back-office subsystem to allocate data processing tasks to specific computing resources. A fourth program code portion causes the onboard vehicle data management subsystem and the remotely-located back-office subsystem to continuously adjust data processing task allocation between onboard vehicle control modules and remotely located back-office control modules by minimizing costs and honoring task deadlines and resource consumption constraints.