(19)
(11) EP 3 647 994 A8

(12) CORRECTED EUROPEAN PATENT APPLICATION
Note: Bibliography reflects the latest situation

(15) Correction information:
Corrected version no 1 (W1 A1)

(48) Corrigendum issued on:
15.07.2020 Bulletin 2020/29

(43) Date of publication:
06.05.2020 Bulletin 2020/19

(21) Application number: 18203504.8

(22) Date of filing: 30.10.2018
(51) International Patent Classification (IPC): 
G06K 9/00(2006.01)
 G06K 9/62(2006.01)
(84) Designated Contracting States:
AL AT BE BG CH CY CZ DE DK EE ES FI FR GB GR HR HU IE IS IT LI LT LU LV MC MK MT NL NO PL PT RO RS SE SI SK SM TR
Designated Extension States:
BA ME
Designated Validation States:
KH MA MD TN

(71) Applicant: Airbus Defence and Space GmbH
82024 Taufkirchen (DE)

(72) Inventors:
  • MOHRDIECK, Camilla
    82024 Taufkirchen (DE)
  • WIEDMANN, Michael
    82024 Taufkirchen (DE)
  • ZIMMERMANN, Reiner
    82024 Taufkirchen (DE)

(74) Representative: Frenkel, Matthias Alexander 
Wuesthoff & Wuesthoff Patentanwälte PartG mbB Schweigerstrasse 2
81541 München
81541 München (DE)

   


(54) AUTOMATED GENERATION OF TRAINING IMAGES


(57) A method for providing training images is provided. The method comprises receiving information about objects. The information is at least valid at a specific recording time. The method comprises receiving an image of an area. The area is imaged at the specific recording time. The method comprises estimating respective positions of the objects at the specific recording time based on the information. The method comprises selecting estimated positions of respective objects from the estimated respective positions which fulfill a predefined selection criterion. The method comprises generating training images by separating the imaged area into a first plurality of image tiles and a second plurality of image tiles. Each of the first plurality of image tiles differs from each of the second plurality of image tiles. Each of the first plurality of image tiles images (depicts) a respective one or several of the selected positions. The method comprises providing the training images. Further, a training image product and a device for providing training images are provided.