公开(公告)号：US20240253660A1

公开(公告)日：2024-08-01

申请号：US18161954

申请日：2023-01-31

Applicant: GM Global Technology Operations LLC

Inventor： Guangyu Jeff Zou ,  Brent Navin Roger Bacchus ,  Michael Alan Losh ,  Indranil Palit

IPC: B60W60/00

CPC classification number: B60W60/001 ,  B60W2552/53

Abstract: A lanelet classification system for an autonomous vehicle includes one or more controllers including a classifier having a neural network that classifies lanelets of a lane graph structure based on one or more lane attributes. In one embodiment, the one or more controllers execute instructions to build the neural network. In another embodiment, the one or more controllers train the neural network to classify each lanelet of the lane graph structure.

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

IPC: B60W60/00 ,  B60W40/06 ,  G01C21/00

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.

公开(公告)号：US12087062B1

公开(公告)日：2024-09-10

申请号：US18295470

申请日：2023-04-04

Applicant: GM Global Technology Operations LLC

Inventor： Alireza Esna Ashari Esfahani ,  Indranil Palit

IPC: G06V20/58 ,  B60W30/14 ,  B60W30/18 ,  G06T7/62 ,  G06T7/64 ,  G06T7/70

CPC classification number: G06V20/582 ,  B60W30/143 ,  B60W30/18163 ,  G06T7/62 ,  G06T7/64 ,  G06T7/70 ,  G06T2207/30256

Abstract: A method for optimizing sign includes receiving, by a controller of a vehicle, sensor data from a plurality of sensors of the vehicle. The method further includes detecting a sign along a road while the vehicle is in motion using the sensor data and, in response to detecting the sign along the road of the vehicle, determining an optimal location of the vehicle relative to the sign to recognize the sign. Further, the method includes recognizing a content of the sign using an optimal frame captured by the camera at the optimal location and, in response to recognizing the content of the sign, filtering the plurality of frames of the video captured by the camera to minimize a use of a computational resources of the controller.

公开(公告)号：US20240246558A1

公开(公告)日：2024-07-25

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

IPC: B60W60/00 ,  B60W40/06 ,  G01C21/00

CPC classification number: B60W60/001 ,  B60W40/06 ,  G01C21/3822 ,  B60W2552/53 ,  B60W2556/00

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.