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1. WO2020139356 - IMAGE PRE-PROCESSING IN A LANE MARKING DETERMINATION SYSTEM

Publication Number WO/2020/139356
Publication Date 02.07.2020
International Application No. PCT/US2018/067739
International Filing Date 27.12.2018
IPC
G01C 21/32 2006.01
GPHYSICS
01MEASURING; TESTING
CMEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
21Navigation; Navigational instruments not provided for in groups G01C1/-G01C19/104
26specially adapted for navigation in a road network
28with correlation of data from several navigational instruments
30Map- or contour-matching
32Structuring or formatting of map data
G06T 3/60 2006.01
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
3Geometric image transformation in the plane of the image
60Rotation of a whole image or part thereof
G06K 9/36 2006.01
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
9Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
36Image preprocessing, i.e. processing the image information without deciding about the identity of the image
CPC
G01C 21/3819
GPHYSICS
01MEASURING; TESTING
CMEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
21Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
38Electronic maps specially adapted for navigation; Updating thereof
3804Creation or updating of map data
3807characterised by the type of data
3815Road data
3819Road shape data, e.g. outline of a route
G06K 9/00798
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
9Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
00624Recognising scenes, i.e. recognition of a whole field of perception; recognising scene-specific objects
00791Recognising scenes perceived from the perspective of a land vehicle, e.g. recognising lanes, obstacles or traffic signs on road scenes
00798Recognition of lanes or road borders, e.g. of lane markings, or recognition of driver's driving pattern in relation to lanes perceived from the vehicle; Analysis of car trajectory relative to detected road
G06K 9/4604
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
9Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
36Image preprocessing, i.e. processing the image information without deciding about the identity of the image
46Extraction of features or characteristics of the image
4604Detecting partial patterns, e.g. edges or contours, or configurations, e.g. loops, corners, strokes, intersections
G06K 9/6256
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
9Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
62Methods or arrangements for recognition using electronic means
6217Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
6256Obtaining sets of training patterns; Bootstrap methods, e.g. bagging, boosting
G06T 3/60
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
3Geometric image transformation in the plane of the image
60Rotation of a whole image or part thereof
Applicants
  • DIDI RESEARCH AMERICA, LLC [US]/[US]
Inventors
  • HOU, Tingbo
  • ZHANG, Yan
Agents
  • ALTMAN, Daniel E.
Priority Data
Publication Language English (EN)
Filing Language English (EN)
Designated States
Title
(EN) IMAGE PRE-PROCESSING IN A LANE MARKING DETERMINATION SYSTEM
(FR) PRÉTRAITEMENT D'IMAGE DANS UN SYSTÈME DE DÉTERMINATION DE MARQUAGE DE VOIE
Abstract
(EN)
Systems and processes can reduce or divide images of road networks into sub-images that depict straight or substantially straight sections of roads in the road networks. These sub-images or image segments can be normalized by, for example, rotating each of the sub-images such that the depicted roads are horizontal or otherwise share the same angle. By aligning disparate images of roads, it is possible to both reduce the amount of training data used to generate a machine learning model and to increase the accuracy of an automated lane marking or labelling system. Further, the use of normalized images by the machine learning model enables a reduction in computing resources used to perform automated lane marking processes while maintaining or improving accuracy of the lane marking processes.
(FR)
La présente invention concerne des systèmes et des procédés qui peuvent réduire ou diviser des images de réseaux routiers en sous-images qui représentent des sections droites ou sensiblement droites de routes dans les réseaux routiers. Ces segments d'image ou sous-images peuvent être normalisés par, par exemple, la rotation de chacune des sous-images de telle sorte que les routes représentées soient horizontales ou partagent le même angle. L'alignement des images disparates de routes permet à la fois de réduire la quantité de données d'apprentissage utilisées pour générer un modèle d'apprentissage machine et d'augmenter la précision d'un système automatisé de marquage ou d'étiquetage de voie. En outre, l'utilisation d'images normalisées par le modèle d'apprentissage machine permet une réduction des ressources informatiques utilisées pour effectuer des processus de marquage de voie automatisés tout en maintenant ou en améliorant la précision des processus de marquage de voie.
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