公开(公告)号：US11704912B2

公开(公告)日：2023-07-18

申请号：US16902678

申请日：2020-06-16

Applicant: FORD GLOBAL TECHNOLOGIES, LLC

Inventor： Guy Hotson ,  Richard L. Kwant ,  Brett Browning ,  Deva Ramanan

IPC: B60W40/04 ,  B60W60/00 ,  G06F18/22 ,  G06F18/214 ,  G06F18/2431 ,  H04N23/90 ,  G06V20/58 ,  G06V10/764 ,  G06V10/774 ,  G06V10/776 ,  G06V10/82 ,  G06F18/21

CPC classification number: G06V20/584 ,  B60W40/04 ,  B60W60/0015 ,  B60W60/0025 ,  B60W60/0027 ,  G06F18/214 ,  G06F18/217 ,  G06F18/22 ,  G06F18/2431 ,  G06V10/764 ,  G06V10/776 ,  G06V10/7753 ,  G06V10/82 ,  H04N23/90 ,  B60W2420/42 ,  B60W2555/60

Abstract: A method is disclosed for evaluating a classifier used to determine a traffic light signal state in images. The method includes, by a computer vision system of a vehicle, receiving at least one image of a traffic signal device of an imminent intersection. The traffic signal device includes a traffic signal face including one or more traffic signal elements. The method includes classifying, by a traffic light classifier (TLC), a classification state of the traffic signal face using labeled images correlated to the received at least one image. The classification state controls an operation of the vehicle at the intersection. The method includes evaluating a performance of the classifying of the classification state generated by the TLC. The evaluation is a label-free performance evaluation based on unlabeled images. The method includes training the TLC based on the evaluated performance.

公开(公告)号：US12195042B2

公开(公告)日：2025-01-14

申请号：US17846652

申请日：2022-06-22

Applicant: FORD GLOBAL TECHNOLOGIES, LLC

Inventor： George Peter Kenneth Carr ,  Shawn Cook ,  Brett Browning ,  Andrew Hartnett ,  Constantin A. Savtchenko ,  Neal Seegmiller ,  Christopher Cunningham ,  Thomas Mark Petroff ,  Michael Pacilio

IPC: B60W60/00

Abstract: Disclosed herein are system, method, and computer program product aspects for validating protolanes. For example, the method includes determining a protolane level flowchart from one or more flowcharts corresponding to one or more gates of a protolane selected from a set of protolanes of a geonet, wherein the one or more flowcharts correspond to conditions that can be encountered by an actor approaching the corresponding one or more gates, and wherein the geonet comprises a plurality of lane segments associated with the set of protolanes. A graph through the protolane level flowchart is generated that corresponds to actions of an actor. Reasoning of the actor is validated by testing the actions of the actor against the graph through the protolane level flowchart.