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Extract from the Register of European Patents

EP About this file: EP3321842

EP3321842 - LANE LINE RECOGNITION MODELING METHOD, APPARATUS, STORAGE MEDIUM, AND DEVICE, RECOGNITION METHOD AND APPARATUS, STORAGE MEDIUM, AND DEVICE [Right-click to bookmark this link]
StatusNo opposition filed within time limit
Status updated on  05.03.2021
Database last updated on 11.09.2024
FormerThe patent has been granted
Status updated on  27.03.2020
FormerGrant of patent is intended
Status updated on  26.11.2019
FormerExamination is in progress
Status updated on  10.05.2019
FormerRequest for examination was made
Status updated on  13.04.2018
FormerThe international publication has been made
Status updated on  11.02.2017
Most recent event   Tooltip15.07.2022Lapse of the patent in a contracting state
New state(s): BE
published on 17.08.2022  [2022/33]
Applicant(s)For all designated states
Baidu Online Network Technology (Beijing) Co., Ltd.
3/F Baidu Campus
No. 10, Shangdi 10th Street
Haidian District
Beijing 100085 / CN
[2018/20]
Inventor(s)01 / HE, Bei
3/F Baidu Campus
No. 10 Shangdi 10th Street
Haidian District
Beijing 100085 / CN
02 / HAO, Zhihui
3/F Baidu Campus
No. 10 Shangdi 10th Street
Haidian District
Beijing 100085 / CN
 [2018/20]
Representative(s)Lucke, Andreas
Boehmert & Boehmert
Anwaltspartnerschaft mbB
Pettenkoferstrasse 22
80336 München / DE
[2018/20]
Application number, filing date15900291.431.12.2015
[2018/20]
WO2015CN100175
Priority number, dateCN20151048299003.08.2015         Original published format: CN201510482990
[2018/20]
Filing languageZH
Procedural languageEN
PublicationType: A1 Application with search report
No.:WO2017020528
Date:09.02.2017
Language:ZH
[2017/06]
Type: A1 Application with search report 
No.:EP3321842
Date:16.05.2018
Language:EN
[2018/20]
Type: B1 Patent specification 
No.:EP3321842
Date:29.04.2020
Language:EN
[2020/18]
Search report(s)International search report - published on:CN09.02.2017
(Supplementary) European search report - dispatched on:EP12.07.2018
ClassificationIPC:G06K9/00
[2018/20]
CPC:
G06V20/588 (EP,CN,KR,US); G06F18/21375 (US); G06F18/2148 (US);
G06N3/045 (EP,US); G06N3/08 (KR); G06T3/4084 (KR);
G06T5/20 (KR); G06V10/82 (EP,US); G06T2207/20081 (KR);
G06T2207/20084 (KR); G06T2207/30256 (KR) (-)
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 [2018/20]
Extension statesBANot yet paid
MENot yet paid
Validation statesMANot yet paid
MDNot yet paid
TitleGerman:SPURLINIENERKENNUNGSMODELLIERUNGSVERFAHREN, VORRICHTUNG, SPEICHERMEDIUM UND EINRICHTUNG, ERKENNUNGSVERFAHREN UND -VORRICHTUNG, SPEICHERMEDIUM UND EINRICHTUNG[2018/20]
English:LANE LINE RECOGNITION MODELING METHOD, APPARATUS, STORAGE MEDIUM, AND DEVICE, RECOGNITION METHOD AND APPARATUS, STORAGE MEDIUM, AND DEVICE[2018/20]
French:PROCÉDÉ ET APPAREIL DE MODÉLISATION DE RECONNAISSANCE DE LIGNE DE DÉLIMITATION DE VOIES, SUPPORT D'INFORMATIONS AINSI QUE DISPOSITIF, PROCÉDÉ ET APPAREIL DE RECONNAISSANCE, SUPPORT D'INFORMATIONS ET DISPOSITIF[2018/20]
Entry into regional phase09.02.2018Translation filed 
09.02.2018National basic fee paid 
09.02.2018Search fee paid 
09.02.2018Designation fee(s) paid 
09.02.2018Examination fee paid 
Examination procedure09.02.2018Examination requested  [2018/20]
09.02.2018Date on which the examining division has become responsible
11.02.2019Amendment by applicant (claims and/or description)
14.05.2019Despatch of a communication from the examining division (Time limit: M04)
13.09.2019Reply to a communication from the examining division
27.11.2019Communication of intention to grant the patent
17.03.2020Fee for grant paid
17.03.2020Fee for publishing/printing paid
17.03.2020Receipt of the translation of the claim(s)
Opposition(s)01.02.2021No opposition filed within time limit [2021/14]
Fees paidRenewal fee
09.02.2018Renewal fee patent year 03
12.12.2018Renewal fee patent year 04
13.12.2019Renewal fee patent year 05
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See the Register of the Unified Patent Court for opt-out data
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  TooltipHU31.12.2015
AL29.04.2020
AT29.04.2020
CY29.04.2020
CZ29.04.2020
DK29.04.2020
EE29.04.2020
ES29.04.2020
FI29.04.2020
HR29.04.2020
LT29.04.2020
LV29.04.2020
MC29.04.2020
MK29.04.2020
MT29.04.2020
NL29.04.2020
PL29.04.2020
RO29.04.2020
RS29.04.2020
SE29.04.2020
SI29.04.2020
SK29.04.2020
SM29.04.2020
TR29.04.2020
BG29.07.2020
NO29.07.2020
GR30.07.2020
IS29.08.2020
PT31.08.2020
BE31.12.2020
CH31.12.2020
IE31.12.2020
LI31.12.2020
LU31.12.2020
[2022/33]
Former [2022/32]HU31.12.2015
AL29.04.2020
AT29.04.2020
CY29.04.2020
CZ29.04.2020
DK29.04.2020
EE29.04.2020
ES29.04.2020
FI29.04.2020
HR29.04.2020
LT29.04.2020
LV29.04.2020
MC29.04.2020
MK29.04.2020
MT29.04.2020
NL29.04.2020
PL29.04.2020
RO29.04.2020
RS29.04.2020
SE29.04.2020
SI29.04.2020
SK29.04.2020
SM29.04.2020
TR29.04.2020
BG29.07.2020
NO29.07.2020
GR30.07.2020
IS29.08.2020
PT31.08.2020
CH31.12.2020
IE31.12.2020
LI31.12.2020
LU31.12.2020
Former [2022/27]HU31.12.2015
AL29.04.2020
AT29.04.2020
CY29.04.2020
CZ29.04.2020
DK29.04.2020
EE29.04.2020
ES29.04.2020
FI29.04.2020
HR29.04.2020
LT29.04.2020
LV29.04.2020
MC29.04.2020
MT29.04.2020
NL29.04.2020
PL29.04.2020
RO29.04.2020
RS29.04.2020
SE29.04.2020
SI29.04.2020
SK29.04.2020
SM29.04.2020
TR29.04.2020
BG29.07.2020
NO29.07.2020
GR30.07.2020
IS29.08.2020
PT31.08.2020
CH31.12.2020
IE31.12.2020
LI31.12.2020
LU31.12.2020
Former [2021/52]AL29.04.2020
AT29.04.2020
CZ29.04.2020
DK29.04.2020
EE29.04.2020
ES29.04.2020
FI29.04.2020
HR29.04.2020
LT29.04.2020
LV29.04.2020
MC29.04.2020
NL29.04.2020
PL29.04.2020
RO29.04.2020
RS29.04.2020
SE29.04.2020
SI29.04.2020
SK29.04.2020
SM29.04.2020
BG29.07.2020
NO29.07.2020
GR30.07.2020
IS29.08.2020
PT31.08.2020
CH31.12.2020
IE31.12.2020
LI31.12.2020
LU31.12.2020
Former [2021/46]AL29.04.2020
AT29.04.2020
CZ29.04.2020
DK29.04.2020
EE29.04.2020
ES29.04.2020
FI29.04.2020
HR29.04.2020
LT29.04.2020
LV29.04.2020
MC29.04.2020
NL29.04.2020
PL29.04.2020
RO29.04.2020
RS29.04.2020
SE29.04.2020
SI29.04.2020
SK29.04.2020
SM29.04.2020
BG29.07.2020
NO29.07.2020
GR30.07.2020
IS29.08.2020
PT31.08.2020
IE31.12.2020
LU31.12.2020
Former [2021/40]AL29.04.2020
AT29.04.2020
CZ29.04.2020
DK29.04.2020
EE29.04.2020
ES29.04.2020
FI29.04.2020
HR29.04.2020
LT29.04.2020
LV29.04.2020
MC29.04.2020
NL29.04.2020
PL29.04.2020
RO29.04.2020
RS29.04.2020
SE29.04.2020
SI29.04.2020
SK29.04.2020
SM29.04.2020
BG29.07.2020
NO29.07.2020
GR30.07.2020
IS29.08.2020
PT31.08.2020
Former [2021/24]AL29.04.2020
AT29.04.2020
CZ29.04.2020
DK29.04.2020
EE29.04.2020
ES29.04.2020
FI29.04.2020
HR29.04.2020
LT29.04.2020
LV29.04.2020
NL29.04.2020
PL29.04.2020
RO29.04.2020
RS29.04.2020
SE29.04.2020
SI29.04.2020
SK29.04.2020
SM29.04.2020
BG29.07.2020
NO29.07.2020
GR30.07.2020
IS29.08.2020
PT31.08.2020
Former [2021/10]AL29.04.2020
AT29.04.2020
CZ29.04.2020
DK29.04.2020
EE29.04.2020
ES29.04.2020
FI29.04.2020
HR29.04.2020
LT29.04.2020
LV29.04.2020
NL29.04.2020
PL29.04.2020
RO29.04.2020
RS29.04.2020
SE29.04.2020
SK29.04.2020
SM29.04.2020
BG29.07.2020
NO29.07.2020
GR30.07.2020
IS29.08.2020
PT31.08.2020
Former [2021/09]AL29.04.2020
AT29.04.2020
CZ29.04.2020
DK29.04.2020
EE29.04.2020
ES29.04.2020
FI29.04.2020
HR29.04.2020
LT29.04.2020
LV29.04.2020
NL29.04.2020
RO29.04.2020
RS29.04.2020
SE29.04.2020
SM29.04.2020
BG29.07.2020
NO29.07.2020
GR30.07.2020
IS29.08.2020
PT31.08.2020
Former [2021/08]AL29.04.2020
DK29.04.2020
ES29.04.2020
FI29.04.2020
HR29.04.2020
LT29.04.2020
LV29.04.2020
NL29.04.2020
RO29.04.2020
RS29.04.2020
SE29.04.2020
SM29.04.2020
BG29.07.2020
NO29.07.2020
GR30.07.2020
IS29.08.2020
PT31.08.2020
Former [2021/04]AL29.04.2020
FI29.04.2020
HR29.04.2020
LT29.04.2020
LV29.04.2020
NL29.04.2020
RS29.04.2020
SE29.04.2020
BG29.07.2020
NO29.07.2020
GR30.07.2020
IS29.08.2020
PT31.08.2020
Former [2021/01]FI29.04.2020
HR29.04.2020
LT29.04.2020
LV29.04.2020
RS29.04.2020
SE29.04.2020
BG29.07.2020
NO29.07.2020
GR30.07.2020
IS29.08.2020
PT31.08.2020
Former [2020/51]FI29.04.2020
HR29.04.2020
LT29.04.2020
LV29.04.2020
RS29.04.2020
SE29.04.2020
NO29.07.2020
GR30.07.2020
IS29.08.2020
PT31.08.2020
Former [2020/50]FI29.04.2020
HR29.04.2020
LT29.04.2020
LV29.04.2020
SE29.04.2020
NO29.07.2020
GR30.07.2020
IS29.08.2020
PT31.08.2020
Former [2020/48]FI29.04.2020
LT29.04.2020
SE29.04.2020
NO29.07.2020
IS29.08.2020
PT31.08.2020
Former [2020/47]LT29.04.2020
NO29.07.2020
IS29.08.2020
Former [2020/46]IS29.08.2020
Documents cited:Search[XI]  - Jihun Kim ET AL, "Robust Lane Detection Based On Convolutional Neural Network and Random Sample Consensus", Medical image computing and computer-assisted intervention - MICCAI 2015 : 18th international conference, Munich, Germany, October 5-9, 2015; proceedings, Cham, Springer International Publishing, (20141106), vol. 8834, pages 454 - 461, 032548, doi:10.1007/978-3-319-12637-1_57, ISSN 0302-9743, ISBN 978-3-642-38287-1, XP055490419 [X] 1,4,5,8,9,11,13-15 * abstract * * 2 Proposed Method * [I] 2,3,6,7,10,12

DOI:   http://dx.doi.org/10.1007/978-3-319-12637-1_57
 [A]  - AMOL BORKAR ET AL, "A Novel Lane Detection System With Efficient Ground Truth Generation", IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, IEEE, PISCATAWAY, NJ, USA, (20120301), vol. 13, no. 1, doi:10.1109/TITS.2011.2173196, ISSN 1524-9050, pages 365 - 374, XP011427541 [A] 1-15

DOI:   http://dx.doi.org/10.1109/TITS.2011.2173196
 [A]  - MOHAMED ALY ED - DAVID A ABBINK ET AL, "Real time detection of lane markers in urban streets", INTELLIGENT VEHICLES SYMPOSIUM, 2008 IEEE, IEEE, PISCATAWAY, NJ, USA, (20080604), ISBN 978-1-4244-2568-6, pages 7 - 12, XP031318797 [A] 1-15 * the whole document *
 [T]  - AHARON BAR HILLEL ET AL, "Recent progress in road and lane detection: a survey", MACHINE VISION AND APPLICATIONS, (20140401), vol. 25, no. 3, doi:10.1007/s00138-011-0404-2, ISSN 0932-8092, pages 727 - 745, XP055113665 [T] * the whole document *

DOI:   http://dx.doi.org/10.1007/s00138-011-0404-2
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