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Extract from the Register of European Patents

EP About this file: EP3343432

EP3343432 - GENERATING TRAINING IMAGES FOR MACHINE LEARNING-BASED OBJECT RECOGNITION SYSTEMS [Right-click to bookmark this link]
StatusThe patent has been granted
Status updated on  16.02.2024
Database last updated on 03.09.2024
FormerGrant of patent is intended
Status updated on  24.10.2023
FormerExamination is in progress
Status updated on  11.10.2019
FormerRequest for examination was made
Status updated on  18.01.2019
FormerThe application has been published
Status updated on  01.06.2018
Most recent event   Tooltip08.08.2024Lapse of the patent in a contracting state
New state(s): SE
published on 11.09.2024 [2024/37]
Applicant(s)For all designated states
Elektrobit Automotive GmbH
Am Wolfsmantel 46
91058 Erlangen / DE
[2024/12]
Former [2018/27]For all designated states
Elektrobit Automotive GmbH
Am Wolfsmantel 46
91058 Erlangen / DE
Inventor(s)01 / GRIGORESCU, Sorin
Dupa Iniste 68C, Ap. 4
500132 Brasov / RO
02 / MACESANU, Gigel
Str. Viitorului, Bl. 40, Sc. B, Ap. 5
505600 Sacele / RO
03 / COCIAS, Tiberiu
Str. Closca 32
505600 Sacele / RO
04 / TRASNEA, Bogdan
Str. Parcului 52A
Halchiu
507080 Brasov / RO
05 / GINERICA, Cosmin
Str. Neptun 23, Sc. C, Ap. 20
500352 Brasov / RO
 [2018/27]
Representative(s)Continental Corporation
c/o Continental Automotive Technologies GmbH
Intellectual Property
Guerickestraße 7
60488 Frankfurt a. Main / DE
[2024/12]
Former [2018/27]Thies, Stephan
Continental Teves AG & Co. oHG
Intellectual Property
Guerickestrasse 7
60488 Frankfurt/Main / DE
Application number, filing date16465563.129.12.2016
[2018/27]
Filing languageEN
Procedural languageEN
PublicationType: A1 Application with search report 
No.:EP3343432
Date:04.07.2018
Language:EN
[2018/27]
Type: B1 Patent specification 
No.:EP3343432
Date:20.03.2024
Language:EN
[2024/12]
Search report(s)(Supplementary) European search report - dispatched on:EP26.06.2017
ClassificationIPC:G06V20/58, G06V10/772
[2023/41]
CPC:
G06V20/582 (EP,US); G06F18/214 (CN,US); G06F18/22 (CN,US);
G06F18/28 (US); G06V10/772 (EP,US)
Former IPC [2018/27]G06K9/00, G06K9/62
Designated contracting statesAL,   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 [2019/08]
Former [2018/27]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 
Extension statesBA04.01.2019
ME04.01.2019
Validation statesMA04.01.2019
MD04.01.2019
TitleGerman:ERZEUGEN VON TRAININGSBILDERN FÜR OBJEKTERKENNUNGSSYSTEME, DIE AUF MASCHINENLERNEN BASIEREN[2018/27]
English:GENERATING TRAINING IMAGES FOR MACHINE LEARNING-BASED OBJECT RECOGNITION SYSTEMS[2018/27]
French:GÉNÉRATION DES IMAGES À TRAINING POUR SYSTÈMES D'IDENTIFICATIONS D'OBJECTS BASÉ SUR L'APPRENDRE AUTOMATISÉ[2018/27]
Examination procedure04.01.2019Amendment by applicant (claims and/or description)
04.01.2019Examination requested  [2019/08]
04.01.2019Date on which the examining division has become responsible
15.10.2019Despatch of a communication from the examining division (Time limit: M06)
10.03.2020Reply to a communication from the examining division
24.03.2021Despatch of a communication from the examining division (Time limit: M04)
02.06.2021Reply to a communication from the examining division
25.05.2022Despatch of a communication from the examining division (Time limit: M04)
21.09.2022Reply to a communication from the examining division
25.10.2023Communication of intention to grant the patent
08.02.2024Fee for grant paid
08.02.2024Fee for publishing/printing paid
08.02.2024Receipt of the translation of the claim(s)
Fees paidRenewal fee
02.01.2019Renewal fee patent year 03
02.01.2020Renewal fee patent year 04
11.01.2021Renewal fee patent year 05
03.01.2022Renewal fee patent year 06
02.01.2023Renewal fee patent year 07
02.01.2024Renewal fee patent year 08
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Lapses during opposition  TooltipBG20.03.2024
FI20.03.2024
HR20.03.2024
LT20.03.2024
LV20.03.2024
SE20.03.2024
NO20.06.2024
RS20.06.2024
GR21.06.2024
[2024/37]
Former [2024/36]BG20.03.2024
FI20.03.2024
HR20.03.2024
LT20.03.2024
LV20.03.2024
NO20.06.2024
RS20.06.2024
GR21.06.2024
Former [2024/34]BG20.03.2024
FI20.03.2024
HR20.03.2024
LT20.03.2024
NO20.06.2024
RS20.06.2024
GR21.06.2024
Former [2024/33]LT20.03.2024
NO20.06.2024
Documents cited:Search[A]US2006056696  (JUN SUN [CN], et al) [A] 1-15* paragraphs [0008] - [0009] - [0016] , [0024] - [0025] - [0049] - [0050]; figures 3,8 *;
 [XI]DE102005062154  (DAIMLER CHRYSLER AG [DE]) [X] 1,14,15 * paragraphs [0001] - [0004] - [0010] - [0014] * [I] 2-13;
 [A]US2016162750  (HASELHOFF ANSLEM [DE], et al) [A] 1-15 * paragraphs [0005] - [0009] - [0017] , [0018] , [0027] - [0032] *;
 [A]US2016203380  (BULAN ORHAN [US], et al) [A] 1-15 * paragraph [0007]; figure 1 *
by applicant   - "Nonlinear Component Analysis as a Kernel Eigenvalue Problem", B. SCHOLKOPF ET AL., Neural Computation, MASSACHUSETTS INSTITUTE OF TECHNOLOGY, (1998), vol. 10, pages 1299 - 1319
    - "Non-Linear Component Analysis as a Kernel Eigenvalue Problem", B. SCHOLKOPF ET AL., Neural Computation, MASSACHUSETTS INSTITUTE OF TECHNOLOGY, (1998), vol. 10, pages 1299 - 1319
The EPO accepts no responsibility for the accuracy of data originating from other authorities; in particular, it does not guarantee that it is complete, up to date or fit for specific purposes.