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11.发明公开公开(公告)号：US20240312221A1
公开(公告)日：2024-09-19
申请号：US18184226
申请日：2023-03-15
Applicant: GM Global Technology Operations LLC
CPC classification number: G06V20/582 , G06F40/40 , G06T7/10 , G06V30/10
Abstract: A road sign interpretation system includes a perceptual cache storing perceptual hash values that each correspond to image data representing a road sign. Each road sign that corresponds to one of the perceptual hash values stored in the perceptual cache is associated with a road sign identifier. The road sign interpretation system includes one or more controllers in electronic communication with the perceptual cache execute instructions to compute a perceptual hash of a detected road sign within a cropped image frame based on a perceptual hash function and identify a near match between the perceptual hash of the detected road sign and a selected perceptual hash value stored in the perceptual cache. In response to identifying the near match, the controllers interpret the detected road sign represented by the perceptual hash based on the road sign identifier associated with the selected perceptual hash value stored in the perceptual cache.
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12.发明公开公开(公告)号：US20240302179A1
公开(公告)日：2024-09-12
申请号：US18181038
申请日：2023-03-09
Applicant: GM Global Technology Operations LLC
Inventor： Brent Navin Roger Bacchus , Guangyu Zou , Bo Yu
IPC: G01C21/00
CPC classification number: G01C21/3811 , G01C21/3819 , G01C21/3848 , G01C21/3881
Abstract: A map updating system for a vehicle includes one or more input devices. The input device generates an input signal associated with data indicative of multiple landmark points relative to multiple road semantic features. The system further includes a computer having one or more processors that receive the input signal. The computer further includes a non-transitory computer readable storage medium for storing instructions. The processor is programmed to build a local map including the road semantic features and the landmark points. The processor is further programmed to determine a radius of road curvature associated with each road semantic feature and compare the radius of road curvature to a maximum radius of curvature threshold. The processor is further programmed to transmit an update signal to a cloud server, in response the processor determining that the radius of road curvature is less than the maximum radius of curvature threshold.
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公开(公告)号：US20240280376A1
公开(公告)日：2024-08-22
申请号：US18171848
申请日：2023-02-21
Applicant: GM Global Technology Operations LLC
Inventor： Gui Chen , Bo Yu , Brent Navin Roger Bacchus , Shu Chen , Joon Hwang , Michael Alan Losh
CPC classification number: G01C21/3881 , G01C21/32 , G01C21/3815 , G06T7/38 , G06T17/005 , G06T17/05 , G06T2207/10028
Abstract: A method for quantifying map errors includes receiving first map data and second map data. The method includes receiving a road topographic map. The method further includes dividing the road into road segments. The method further includes creating a plurality of bounding boxes for each of the plurality of road segments. The method includes creating a first map tile and a second map tile by filtering out the bounding boxes. The method includes executing point cloud registration to align the plurality of first data points in the first map tile with the plurality of second data points in the second map tile to determine a plurality of absolute offsets between the plurality of first data points and the plurality of second data points. The method includes determining a relative map error between the first map and the second map based on the absolute offsets.
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公开(公告)号：US20240249534A1
公开(公告)日：2024-07-25
申请号：US18159370
申请日：2023-01-25
Applicant: GM Global Technology Operations LLC
Inventor： Brent Navin Roger Bacchus
CPC classification number: G06V20/588 , G06V10/80
Abstract: A lane edge fusion system for an autonomous vehicle includes one or more controllers executing instructions to receive perception data and map data of a roadway the autonomous vehicle is traveling along. The one or more controllers derive a plurality of map lane edge points from the map data and a plurality of perception lane edge points from the perception data and select an evaluation point based on the plurality of map lane edge points and the plurality of perception lane edge points. The one or more controllers fit an implicit function for the evaluation point based on an implicit moving least squares approach. The one or more controllers build a fused lane edge by setting a point on the implicit curve as one of a plurality fused lane edge points.
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公开(公告)号：US20240101107A1
公开(公告)日：2024-03-28
申请号：US17935637
申请日：2022-09-27
Applicant: GM Global Technology Operations LLC
IPC: B60W30/095 , B60W60/00
CPC classification number: B60W30/0956 , B60W60/0011 , B60W2400/00
Abstract: A method generating planning-based attention signals includes receiving driving-scene data. The driving-scene data is indicative of a driving scene around a host vehicle. The driving-scene data includes map data and localization data. The driving scene includes a plurality of actors. The method further includes converting the driving-scene data into a scene-graph. The method further includes inputting the scene-graph into a deep neural network (DNN). Further, the method includes determining an attention score for each of the plurality of actors using the DNN and the scene-graph. The attention score of each of the plurality of actors represents a priority given to each of the plurality of actors in the driving scene. The method further includes commanding the host vehicle to autonomously drive according to a trajectory determined by taking into account the attention score of each of the plurality of actors.
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Patent Agency Ranking
公开(公告)号：US20230098314A1
公开(公告)日：2023-03-30
申请号：US17490598
申请日：2021-09-30
Applicant: GM Global Technology Operations LLC
Inventor： Brent Navin Roger Bacchus
Abstract: A system that determines a nominal path based on interpolated lane edge data can include a processor and a memory. The memory includes instructions such that the processor is configured to receive a sensor data representing a perceived lane edge; receive map data including a lane edge; interpolate the sensor data and interpolate the map data; fuse the interpolated sensor data and the interpolated map data; and generate predicted lane edge lane edge centers based on the fused interpolated sensor data.
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公开(公告)号：US20250091610A1
公开(公告)日：2025-03-20
申请号：US18469597
申请日：2023-09-19
Applicant: GM Global Technology Operations LLC
Abstract: A system and method of gamified learning for a vehicle is provided. The system includes a perception model configured to receive perception data from a camera, execute a perception task to obtain a task result for the object, determine the perception confidence level of the task result is below a predetermined perception confidence threshold, show an image of the object to an on-scene user, request the on-scene user to annotate the object, and reward the on-scene user in response to receiving the annotation from the on-scene user. The system further includes a server configured to aggregate a plurality of annotations from a plurality of users, apply a probabilistic model to determine a ground truth annotation, and input the ground truth annotation and an image to a machine learning model to update the perception model.
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公开(公告)号：US12151705B2
公开(公告)日：2024-11-26
申请号：US18157880
申请日：2023-01-23
Applicant: GM Global Technology Operations LLC
Inventor： Guangyu Jeff Zou , Brent Navin Roger Bacchus , Michael Alan Losh , Indranil Palit
Abstract: A scene creation system for an autonomous vehicle includes one or more controllers executing instructions to receive perception data and map data of a roadway the autonomous vehicle is traveling along, and identify a plurality of lane segments of the roadway that the autonomous vehicle travels along based on the perception data and the map data. The one or more controllers connect the plurality of lane segments together based on a spatial relationship between the plurality of lane segments to create a lane graph. The one or more controllers classify each of the plurality of lane segments of the lane graph to one or more lane attributes and reassemble the plurality of lane segments to create a representation of the roadway. The one or more controllers recreate a scene of an environment surrounding the autonomous vehicle based on the representation of the lanes that are part of the roadway.
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公开(公告)号：US12125225B1
公开(公告)日：2024-10-22
申请号：US18295427
申请日：2023-04-04
Inventor： Ahmad R. Alghooneh , Amir Khajepour , Mansoor Alghooneh , Brent Navin Roger Bacchus , Neel Pratik Bhatt , Ruihe Zhang
CPC classification number: G06T7/55 , G06T2207/30252
Abstract: A monocular camera system for a vehicle includes a front mono camera, a side mono camera, and one or more controllers in electronic communication with the front mono camera and the side mono camera. The one or more controllers execute instructions to determine an ideal lagged distance the vehicle travels between a current time step and a previous time step as two asynchronous camera frames are captured by the front mono camera and the side mono camera, determine a number of delayed frames captured by either the front mono camera or the side mono camera between the current time step and the previous time step based on the ideal lagged distance. The controllers determine a direction of travel of the vehicle that indicates which mono camera is selected to provide a previous camera frame captured at the previous time step.
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20.发明公开公开(公告)号：US20240331536A1
公开(公告)日：2024-10-03
申请号：US18193956
申请日：2023-03-31
Applicant: GM Global Technology Operations LLC
Inventor： Alireza Esna Ashari Esfahani , Brent Navin Roger Bacchus , Bo Yu
IPC: G08G1/0967 , B60W60/00 , G08G1/09
CPC classification number: G08G1/096725 , B60W60/001 , G08G1/091 , B60W2555/60 , B60W2556/65 , B60W2756/10
Abstract: A crowd-sourced road sign interpretation system includes one or more central computers in wireless communication with a plurality of vehicles and a network that transmits map data. The one or more central computers execute instructions to perform a statistical hypothesis test of telemetry data collected at one or more trajectory segments including a specific allowed maneuver and the presence of the one or more unidentified road signs, and the telemetry data collected at one or more trajectory segments including the specific allowed maneuver without the presence of the one or more unidentified road sign to determine a statistical impact of the presence of the one or more unidentified road signs upon the specific allowed maneuver.
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