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Extract from the Register of European Patents

EP About this file: EP3506158

EP3506158 - METHOD AND APPARATUS FOR DETERMINING LANE LINE ON ROAD [Right-click to bookmark this link]
Former [2019/27]METHOD, APPARATUS, AND DEVICE FOR DETERMINING LANE LINE ON ROAD
[2023/16]
StatusNo opposition filed within time limit
Status updated on  05.07.2024
Database last updated on 19.10.2024
FormerThe patent has been granted
Status updated on  28.07.2023
FormerGrant of patent is intended
Status updated on  30.03.2023
FormerExamination is in progress
Status updated on  14.03.2020
FormerRequest for examination was made
Status updated on  10.01.2020
FormerThe application has been published
Status updated on  31.05.2019
Most recent event   Tooltip18.10.2024Lapse of the patent in a contracting state
New state(s): BE, GB		published on 20.11.2024 [2024/47]
Applicant(s)For all designated states
Apollo Intelligent Driving Technology (Beijing) Co., Ltd.
105, 1st Floor, Building 1
No.10, Shangdishi Street
Haidian District
Beijing 100085 / CN
[2021/48]
Former [2019/27]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
Inventor(s)01 / DUAN, Xiong
Baidu Online Network Technology (Beijing) Co.
Ltd.
3/F Baidu Campus
No. 10, Shangdi 10th Street
Haidian District, Beijing 100085 / CN
02 / ZHOU, Wang
Baidu Online Network Technology (Beijing) Co.
Ltd.
3/F Baidu Campus
No. 10, Shangdi 10th Street
Haidian District, Beijing 100085 / CN
03 / YAN, Miao
Baidu Online Network Technology (Beijing) Co.
Ltd.
3/F Baidu Campus
No. 10, Shangdi 10th Street
Haidian District, Beijing 100085 / CN
04 / ZHAN, Yifei
Baidu Online Network Technology (Beijing) Co.
Ltd.
3/F Baidu Campus
No. 10, Shangdi 10th Street
Haidian District, Beijing 100085 / CN
05 / MA, Changjie
Baidu Online Network Technology (Beijing) Co.
Ltd.
3/F Baidu Campus
No. 10, Shangdi 10th Street
Haidian District, Beijing 100085 / CN
06 / LANG, Xianpeng
Baidu Online Network Technology (Beijing) Co.
Ltd.
3/F Baidu Campus
No. 10, Shangdi 10th Street
Haidian District, Beijing 100085 / CN
07 / JIN, Yonggang
Baidu Online Network Technology (Beijing) Co.
Ltd.
3/F Baidu Campus
No. 10, Shangdi 10th Street
Haidian District, Beijing 100085 / CN
 [2019/27]
Representative(s)Gill Jennings & Every LLP
The Broadgate Tower
20 Primrose Street
London EC2A 2ES / GB
[2019/27]
Application number, filing date18215856.824.12.2018
[2019/27]
Priority number, dateCN20171147563929.12.2017         Original published format: CN201711475639
[2019/27]
Filing languageEN
Procedural languageEN
PublicationType: A1 Application with search report 
No.:EP3506158
Date:03.07.2019
Language:EN
[2019/27]
Type: B1 Patent specification 
No.:EP3506158
Date:30.08.2023
Language:EN
[2023/35]
Search report(s)(Supplementary) European search report - dispatched on:EP24.04.2019
ClassificationIPC:G06V20/56
[2023/16]
CPC:
G06V20/588 (EP,CN,KR,US); G01C21/26 (CN); G01S17/88 (CN,KR);
G06F18/22 (KR); G06T7/50 (US); G06T2207/10028 (US);
G06T2207/30256 (US) (-)
Former IPC [2019/27]G06K9/00
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 [2020/07]
Former [2019/27]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 
TitleGerman:VERFAHREN UND VORRICHTUNG ZUR BESTIMMUNG DER FAHRSPURLINIE AUF DER STRASSE[2023/16]
English:METHOD AND APPARATUS FOR DETERMINING LANE LINE ON ROAD[2023/16]
French:PROCÉDÉ ET APPAREIL DE DÉTERMINATION DE LIGNE DE VOIE SUR UNE ROUTE[2023/16]
Former [2019/27]VERFAHREN, VORRICHTUNG UND EINRICHTUNG ZUR BESTIMMUNG DER FAHRSPURLINIE AUF DER STRASSE
Former [2019/27]METHOD, APPARATUS, AND DEVICE FOR DETERMINING LANE LINE ON ROAD
Former [2019/27]PROCÉDÉ, APPAREIL ET DISPOSITIF DE DÉTERMINATION DE LIGNE DE VOIE SUR UNE ROUTE
Examination procedure02.01.2020Amendment by applicant (claims and/or description)
02.01.2020Examination requested  [2020/07]
02.01.2020Date on which the examining division has become responsible
18.03.2020Despatch of a communication from the examining division (Time limit: M04)
15.07.2020Reply to a communication from the examining division
01.10.2020Despatch of a communication from the examining division (Time limit: M04)
28.01.2021Reply to a communication from the examining division
12.08.2021Despatch of a communication from the examining division (Time limit: M04)
09.12.2021Reply to a communication from the examining division
31.03.2023Communication of intention to grant the patent
25.07.2023Fee for grant paid
25.07.2023Fee for publishing/printing paid
25.07.2023Receipt of the translation of the claim(s)
Opposition(s)03.06.2024No opposition filed within time limit [2024/32]
Fees paidRenewal fee
14.12.2020Renewal fee patent year 03
17.12.2021Renewal fee patent year 04
14.11.2022Renewal fee patent year 05
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Patent Court		 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  TooltipAT30.08.2023
CZ30.08.2023
DK30.08.2023
EE30.08.2023
ES30.08.2023
FI30.08.2023
HR30.08.2023
IT30.08.2023
LT30.08.2023
LV30.08.2023
MC30.08.2023
NL30.08.2023
PL30.08.2023
RO30.08.2023
RS30.08.2023
SE30.08.2023
SI30.08.2023
SK30.08.2023
SM30.08.2023
NO30.11.2023
GR01.12.2023
GB24.12.2023
IE24.12.2023
LU24.12.2023
IS30.12.2023
BE31.12.2023
PT02.01.2024
[2024/47]
Former [2024/46]AT30.08.2023
CZ30.08.2023
DK30.08.2023
EE30.08.2023
ES30.08.2023
FI30.08.2023
HR30.08.2023
IT30.08.2023
LT30.08.2023
LV30.08.2023
MC30.08.2023
NL30.08.2023
PL30.08.2023
RO30.08.2023
RS30.08.2023
SE30.08.2023
SI30.08.2023
SK30.08.2023
SM30.08.2023
NO30.11.2023
GR01.12.2023
IE24.12.2023
LU24.12.2023
IS30.12.2023
PT02.01.2024
Former [2024/40]AT30.08.2023
CZ30.08.2023
DK30.08.2023
EE30.08.2023
ES30.08.2023
FI30.08.2023
HR30.08.2023
IT30.08.2023
LT30.08.2023
LV30.08.2023
MC30.08.2023
NL30.08.2023
PL30.08.2023
RO30.08.2023
RS30.08.2023
SE30.08.2023
SI30.08.2023
SK30.08.2023
SM30.08.2023
NO30.11.2023
GR01.12.2023
LU24.12.2023
IS30.12.2023
PT02.01.2024
Former [2024/36]AT30.08.2023
CZ30.08.2023
DK30.08.2023
EE30.08.2023
ES30.08.2023
FI30.08.2023
HR30.08.2023
IT30.08.2023
LT30.08.2023
LV30.08.2023
NL30.08.2023
PL30.08.2023
RO30.08.2023
RS30.08.2023
SE30.08.2023
SI30.08.2023
SK30.08.2023
SM30.08.2023
NO30.11.2023
GR01.12.2023
IS30.12.2023
PT02.01.2024
Former [2024/26]AT30.08.2023
CZ30.08.2023
DK30.08.2023
EE30.08.2023
ES30.08.2023
FI30.08.2023
HR30.08.2023
IT30.08.2023
LT30.08.2023
LV30.08.2023
NL30.08.2023
PL30.08.2023
RO30.08.2023
RS30.08.2023
SE30.08.2023
SK30.08.2023
SM30.08.2023
NO30.11.2023
GR01.12.2023
IS30.12.2023
PT02.01.2024
Former [2024/23]AT30.08.2023
CZ30.08.2023
DK30.08.2023
EE30.08.2023
ES30.08.2023
FI30.08.2023
HR30.08.2023
LT30.08.2023
LV30.08.2023
NL30.08.2023
PL30.08.2023
RO30.08.2023
RS30.08.2023
SE30.08.2023
SK30.08.2023
SM30.08.2023
NO30.11.2023
GR01.12.2023
IS30.12.2023
PT02.01.2024
Former [2024/22]AT30.08.2023
CZ30.08.2023
DK30.08.2023
FI30.08.2023
HR30.08.2023
LT30.08.2023
LV30.08.2023
NL30.08.2023
PL30.08.2023
RO30.08.2023
RS30.08.2023
SE30.08.2023
SM30.08.2023
NO30.11.2023
GR01.12.2023
IS30.12.2023
Former [2024/20]AT30.08.2023
FI30.08.2023
HR30.08.2023
LT30.08.2023
LV30.08.2023
NL30.08.2023
PL30.08.2023
RS30.08.2023
SE30.08.2023
SM30.08.2023
NO30.11.2023
GR01.12.2023
IS30.12.2023
Former [2024/14]AT30.08.2023
FI30.08.2023
HR30.08.2023
LT30.08.2023
LV30.08.2023
NL30.08.2023
PL30.08.2023
RS30.08.2023
SE30.08.2023
NO30.11.2023
GR01.12.2023
IS30.12.2023
Former [2024/10]AT30.08.2023
FI30.08.2023
HR30.08.2023
LT30.08.2023
LV30.08.2023
PL30.08.2023
RS30.08.2023
SE30.08.2023
NO30.11.2023
GR01.12.2023
IS30.12.2023
Former [2024/09]AT30.08.2023
FI30.08.2023
LT30.08.2023
SE30.08.2023
NO30.11.2023
GR01.12.2023
IS30.12.2023
Former [2024/08]LT30.08.2023
NO30.11.2023
GR01.12.2023
Documents cited:Search[A]CN105261020  (UNIV GUILIN ELECTRONIC TECH) [A] 1-15 * paragraph [0032] * * paragraph [0037] * * paragraph [0097] *;
 [A]CN106407893  (NEUSOFT CORP, et al) [A] 1-15 * the whole document *;
 [A]US2017177951  (YANG LEI [US], et al) [A] 1-15* the whole document *;
 [A]  - NIU JIANWEI ET AL, "Robust Lane Detection using Two-stage Feature Extraction with Curve Fitting", PATTERN RECOGNITION, ELSEVIER, GB, (20151231), vol. 59, doi:10.1016/J.PATCOG.2015.12.010, ISSN 0031-3203, pages 225 - 233, XP029695424 [A] 1-15 * abstract * * figure 2 * * section 3 * * section 4 * * section 5 *

DOI:   http://dx.doi.org/10.1016/j.patcog.2015.12.010
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