IMAGE BASED LANE MARKING CLASSIFICATION

The present invention relates to an image processing method for lane classification, comprising:determining a candidate track in an image of a road, wherein the candidate track is modelled as a parameterized line or curve corresponding to a candidate lane marking in the image of a road;dividing the...

Full description

Saved in:
Bibliographic Details
Main Authors Zhao, Kun, Paus, Andre, Meuter, Mirko, Su, Yu, Nunn, Christian
Format Patent
LanguageEnglish
French
German
Published 27.12.2023
Subjects
CALCULATING
COMPUTING
COUNTING
PHYSICS
Online AccessGet full text

Cover

More Information
Summary:The present invention relates to an image processing method for lane classification, comprising:determining a candidate track in an image of a road, wherein the candidate track is modelled as a parameterized line or curve corresponding to a candidate lane marking in the image of a road;dividing the candidate track into a plurality of cells, each cell corresponding to a segment of the candidate track;determining at least one marklet for a plurality of said cells, wherein each marklet of a cell corresponds to a line or curve connecting left and right edges of the candidate lane marking;determining at least one local feature of each of said plurality of cells based on characteristics of said marklets of each respective cell;determining at least one global feature of the candidate track by aggregating the local features of the plurality of cells; anddetermining if the candidate lane marking represents a lane marking based on the at least one global feature.
Bibliography:Application Number: EP20180175134