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Extract from the Register of European Patents

EP About this file: EP3913530

EP3913530 - LEARNING METHOD AND LEARNING DEVICE FOR UPDATING OBJECT DETECTOR, BASED ON DEEP LEARNING, OF AUTONOMOUS VEHICLE TO ADAPT THE OBJECT DETECTOR TO DRIVING CIRCUMSTANCE, AND UPDATING METHOD AND UPDATING DEVICE USING THE SAME [Right-click to bookmark this link]
StatusNo opposition filed within time limit
Status updated on  22.11.2024
Database last updated on 26.03.2026
FormerThe patent has been granted
Status updated on  15.12.2023
FormerGrant of patent is intended
Status updated on  24.10.2023
FormerRequest for examination was made
Status updated on  22.10.2021
Most recent event   Tooltip05.09.2025Lapse of the patent in a contracting state
New state(s): CY, HU		published on 08.10.2025  [2025/41]
Applicant(s)For all designated states
Stradvision, Inc.
Suite 304-308, 5th Venture-dong
394, Jigok-ro
Nam-gu
Pohang-si, Gyeongsangbuk-do 37668 / KR
[2021/47]
Inventor(s)01 / RYU, Wooju
Pohang-si 37668 / KR
02 / JE, Hongmo
Pohang-si 37665 / KR
03 / KANG, Bongnam
Pohang-si 37665 / KR
04 / KIM, Yongjoong
Pohang-si 37668 / KR
 [2021/47]
Representative(s)AWA Sweden AB
Box 5117
200 71 Malmö / SE
[2024/03]
Former [2021/47]AWA Sweden AB
P.O. Box 5117
200 71 Malmö / SE
Application number, filing date21172016.404.05.2021
[2021/47]
Priority number, dateUS202063024657P14.05.2020         Original published format: US 202063024657 P
US20211722926413.04.2021         Original published format: US202117229264
[2021/47]
Filing languageEN
Procedural languageEN
PublicationType: A1 Application with search report 
No.:EP3913530
Date:24.11.2021
Language:EN
[2021/47]
Type: B1 Patent specification 
No.:EP3913530
Date:17.01.2024
Language:EN
[2024/03]
Search report(s)(Supplementary) European search report - dispatched on:EP22.10.2021
ClassificationIPC:G06V20/56, G06V10/82
[2023/44]
CPC:
G06V20/56 (EP,KR,US); G06N3/094 (EP,KR); B60W60/001 (KR,US);
G06F18/2155 (US); G06F18/2431 (EP); G06N3/0464 (EP,KR);
G06N3/0475 (EP); G06N3/08 (US); G06N3/088 (KR);
G06N3/09 (EP); G06V10/25 (KR); G06V10/764 (EP,KR,US);
G06V10/82 (EP,KR,US); B60W2420/403 (US) (-)
Former IPC [2021/47]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 [2022/26]  
Former [2021/47]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 
TitleGerman:LERNVERFAHREN UND LERNVORRICHTUNG ZUM AKTUALISIEREN EINES OBJEKTDETEKTORS BASIEREND AUF TIEFENLERNEN EINES AUTONOMEN FAHRZEUGS ZUR ANPASSUNG DES OBJEKTDETEKTORS AN DIE FAHRUMSTÄNDE SOWIE AKTUALISIERUNGSVERFAHREN UND AKTUALISIERUNGSVORRICHTUNG DAMIT[2021/47]
English:LEARNING METHOD AND LEARNING DEVICE FOR UPDATING OBJECT DETECTOR, BASED ON DEEP LEARNING, OF AUTONOMOUS VEHICLE TO ADAPT THE OBJECT DETECTOR TO DRIVING CIRCUMSTANCE, AND UPDATING METHOD AND UPDATING DEVICE USING THE SAME[2021/47]
French:PROCÉDÉ ET DISPOSITIF D'APPRENTISSAGE PERMETTANT DE METTRE À JOUR UN DÉTECTEUR D'OBJETS D'UN VÉHICULE AUTONOME À BASE D'APPRENTISSAGE PROFOND POUR ADAPTER LE DÉTECTEUR D'OBJETS AUX CIRCONSTANCES DE CONDUITE ET PROCÉDÉ ET DISPOSITIF DE MISE À JOUR LES UTILISANT[2021/47]
Examination procedure04.05.2021Examination requested  [2021/47]
23.05.2022Amendment by applicant (claims and/or description)
25.10.2023Communication of intention to grant the patent
06.12.2023Fee for grant paid
06.12.2023Fee for publishing/printing paid
06.12.2023Receipt of the translation of the claim(s)
Opposition(s)18.10.2024No opposition filed within time limit [2024/52]
Fees paidRenewal fee
13.04.2023Renewal fee patent year 03
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Responsibility for the accuracy, completeness or quality of the data displayed under the link provided lies entirely with the Unified Patent Court.
Lapses during opposition  TooltipCY04.05.2021
HU04.05.2021
CZ17.01.2024
ES17.01.2024
HR17.01.2024
MC17.01.2024
PL17.01.2024
RO17.01.2024
SK17.01.2024
SM17.01.2024
NO17.04.2024
RS17.04.2024
GR18.04.2024
IE04.05.2024
IS17.05.2024
CH31.05.2024
[2025/41]
Former [2025/22]CZ17.01.2024
ES17.01.2024
HR17.01.2024
MC17.01.2024
PL17.01.2024
RO17.01.2024
SK17.01.2024
SM17.01.2024
NO17.04.2024
RS17.04.2024
GR18.04.2024
IE04.05.2024
IS17.05.2024
CH31.05.2024
Former [2025/11]CZ17.01.2024
ES17.01.2024
HR17.01.2024
MC17.01.2024
PL17.01.2024
RO17.01.2024
SK17.01.2024
SM17.01.2024
NO17.04.2024
RS17.04.2024
GR18.04.2024
IS17.05.2024
CH31.05.2024
Former [2025/07]CZ17.01.2024
ES17.01.2024
HR17.01.2024
MC17.01.2024
PL17.01.2024
RO17.01.2024
SK17.01.2024
SM17.01.2024
NO17.04.2024
RS17.04.2024
GR18.04.2024
IS17.05.2024
Former [2024/49]CZ17.01.2024
ES17.01.2024
HR17.01.2024
PL17.01.2024
RO17.01.2024
SK17.01.2024
SM17.01.2024
NO17.04.2024
RS17.04.2024
GR18.04.2024
IS17.05.2024
Former [2024/48]CZ17.01.2024
ES17.01.2024
HR17.01.2024
PL17.01.2024
SM17.01.2024
NO17.04.2024
RS17.04.2024
GR18.04.2024
IS17.05.2024
Former [2024/47]ES17.01.2024
HR17.01.2024
PL17.01.2024
SM17.01.2024
NO17.04.2024
RS17.04.2024
GR18.04.2024
IS17.05.2024
Former [2024/36]ES17.01.2024
HR17.01.2024
PL17.01.2024
NO17.04.2024
RS17.04.2024
GR18.04.2024
IS17.05.2024
Former [2024/35]ES17.01.2024
HR17.01.2024
NO17.04.2024
RS17.04.2024
GR18.04.2024
IS17.05.2024
Former [2024/33]NO17.04.2024
IS17.05.2024
Former [2024/32]IS17.05.2024
Documents cited:Search[I]   ZHU XINGE ET AL: "Adapting Object Detectors via Selective Cross-Domain Alignment", 2019 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR), IEEE, 15 June 2019 (2019-06-15), pages 687 - 696, XP033686343, DOI: 10.1109/CVPR.2019.00078

DOI:   http://dx.doi.org/10.1109/CVPR.2019.00078
by applicantUS202063024657
 US202117229264
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.