公开(公告)号：US11922704B2

公开(公告)日：2024-03-05

申请号：US17551567

申请日：2021-12-15

Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC

Inventor： Najah Ghalyan ,  Kaydee Hartmann ,  Sean D. Vermillion ,  Mason D. Gemar ,  Rajesh Ayyalasomayajula

IPC: G06V20/56 ,  B60W60/00 ,  G01C21/30 ,  G06V20/17 ,  G08G1/01

CPC classification number: G06V20/588 ,  B60W60/001 ,  G01C21/30 ,  G06V20/17 ,  G08G1/0112 ,  B60W2552/53

Abstract: A method for detecting road edges at a predetermined intersection, comprising: receiving, by the controller, aerial imagery data about the predetermined intersection; receiving, by the controller, vehicle telemetry data from at least one vehicle passing through the predetermined intersection; detecting, using the aerial imagery data and generative adversarial networks (GANs) executed on the controller, road edges at the predetermined intersection; classifying, using the vehicle telemetry data and a random forest classifier (RFC) executed on the controller, each vehicle trajectory passing through the predetermined intersection with a label corresponding to a unique maneuver to create a maneuver labeling at the predetermined intersection; constructing, using the maneuver labeling determined by the RFC and the road edges, a probabilistic finite state automata (PFSA) to pair inbound lanes with outbound lanes at the predetermined intersection; and determining lane edges at the predetermined intersection using a homotopy model.

公开(公告)号：US20230186646A1

公开(公告)日：2023-06-15

申请号：US17551567

申请日：2021-12-15

Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC

Inventor： Najah Ghalyan ,  Kaydee Hartmann ,  Sean D. Vermillion ,  Mason D. Gemar ,  Rajesh Ayyalasomayajula

IPC: G06V20/56 ,  G08G1/01 ,  G06V20/17 ,  B60W60/00 ,  G01C21/30

CPC classification number: G06V20/588 ,  G08G1/0112 ,  G06V20/17 ,  B60W60/001 ,  G01C21/30 ,  B60W2552/53

Abstract: A method for detecting road edges at a predetermined intersection, comprising: receiving, by the controller, aerial imagery data about the predetermined intersection; receiving, by the controller, vehicle telemetry data from at least one vehicle passing through the predetermined intersection; detecting, using the aerial imagery data and generative adversarial networks (GANs) executed on the controller, road edges at the predetermined intersection; classifying, using the vehicle telemetry data and a random forest classifier (RFC) executed on the controller, each vehicle trajectory passing through the predetermined intersection with a label corresponding to a unique maneuver to create a maneuver labeling at the predetermined intersection; constructing, using the maneuver labeling determined by the RFC and the road edges, a probabilistic finite state automata (PFSA) to pair inbound lanes with outbound lanes at the predetermined intersection; and determining lane edges at the predetermined intersection using a homotopy model.