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Extract from the Register of European Patents

EP About this file: EP4073698

EP4073698 - OBJECT DETECTION METHOD, OBJECT DETECTION DEVICE, TERMINAL DEVICE, AND MEDIUM [Right-click to bookmark this link]
StatusRequest for examination was made
Status updated on  16.09.2022
Database last updated on 22.08.2024
FormerThe international publication has been made
Status updated on  18.06.2021
Most recent event   Tooltip15.09.2023New entry: Renewal fee paid 
Applicant(s)For all designated states
GUANGDONG OPPO MOBILE TELECOMMUNICATIONS CORP., LTD.
No. 18 Haibin Road
Wusha, Chang'an
Dongguan, Guangdong 523860 / CN
[2022/42]
Inventor(s)01 / XU, Yi
2479 E Bayshore Rd, Suite 110
Palo Alto, CA 94303 / US
 [2022/42]
Representative(s)Thorniley, Peter, et al
Venner Shipley LLP
200 Aldersgate
London EC1A 4HD / GB
[2022/42]
Application number, filing date20899049.908.09.2020
[2022/42]
WO2020CN114062
Priority number, dateUS201962947372P12.12.2019         Original published format: US 201962947372 P
[2022/42]
Filing languageEN
Procedural languageEN
PublicationType: A1 Application with search report
No.:WO2021114775
Date:17.06.2021
Language:EN
[2021/24]
Type: A1 Application with search report 
No.:EP4073698
Date:19.10.2022
Language:EN
The application published by WIPO in one of the EPO official languages on 17.06.2021 takes the place of the publication of the European patent application.
[2022/42]
Search report(s)International search report - published on:CN17.06.2021
(Supplementary) European search report - dispatched on:EP17.01.2023
ClassificationIPC:G06V10/26, G06V20/64, G06V10/80
[2023/07]
CPC:
G06V20/647 (EP,US); G06T7/11 (US); G06T7/187 (US);
G06V10/26 (EP,US); G06V10/42 (EP,US); G06V10/806 (EP,US);
G06T2207/10028 (US) (-)
Former IPC [2022/42]G06K9/62, G06K9/46
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 [2022/42]
TitleGerman:OBJEKTERFASSUNGSVERFAHREN, OBJEKTERFASSUNGSVORRICHTUNG, ENDGERÄTSVORRICHTUNG, UND MEDIUM[2022/42]
English:OBJECT DETECTION METHOD, OBJECT DETECTION DEVICE, TERMINAL DEVICE, AND MEDIUM[2022/42]
French:PROCÉDÉ DE DÉTECTION D'OBJET, DISPOSITIF DE DÉTECTION D'OBJET, DISPOSITIF TERMINAL ET SUPPORT[2022/42]
Entry into regional phase11.07.2022National basic fee paid 
11.07.2022Search fee paid 
11.07.2022Designation fee(s) paid 
11.07.2022Examination fee paid 
Examination procedure11.07.2022Examination requested  [2022/42]
28.07.2023Amendment by applicant (claims and/or description)
28.07.2023Date on which the examining division has become responsible
Fees paidRenewal fee
11.07.2022Renewal fee patent year 03
15.09.2023Renewal fee patent year 04
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Documents cited:Search[I]  - KANEZAKI ASAKO ET AL, "3D Selective Search for obtaining object candidates", 2015 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS), IEEE, (20150928), doi:10.1109/IROS.2015.7353358, pages 82 - 87, XP032831579 [I] 1-15 * abstract * * sec. IV *

DOI:   http://dx.doi.org/10.1109/IROS.2015.7353358
 [A]  - BAI LING ET AL, "Region-proposal Convolutional Network-driven Point Cloud Voxelization and Over-segmentation for 3D Object Detection", 2019 CHINESE CONTROL AND DECISION CONFERENCE (CCDC), IEEE, (20190603), doi:10.1109/CCDC.2019.8832629, pages 3553 - 3558, XP033614653 [A] 1-15 * the whole document *

DOI:   http://dx.doi.org/10.1109/CCDC.2019.8832629
 [A]  - HU FANGCHAO ET AL, "A combined clustering and image mapping based point cloud segmentation for 3D object detection", 2018 CHINESE CONTROL AND DECISION CONFERENCE (CCDC), IEEE, (20180609), doi:10.1109/CCDC.2018.8407395, pages 1664 - 1669, XP033370484 [A] 1-15 * the whole document *

DOI:   http://dx.doi.org/10.1109/CCDC.2018.8407395
 [A]  - DOU JIAN ET AL, "SEG-VoxelNet for 3D Vehicle Detection from RGB and LiDAR Data", 2019 INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA), IEEE, (20190520), doi:10.1109/ICRA.2019.8793492, pages 4362 - 4368, XP033593463 [A] 1-15 * the whole document *

DOI:   http://dx.doi.org/10.1109/ICRA.2019.8793492
 [A]  - DENG ZHUO ET AL, "Unsupervised object region proposals for RGB-D indoor scenes", COMPUTER VISION AND IMAGE UNDERSTANDING, ACADEMIC PRESS, US, (20160722), vol. 154, doi:10.1016/J.CVIU.2016.07.005, ISSN 1077-3142, pages 127 - 136, XP029831512 [A] 1-15 * the whole document *

DOI:   http://dx.doi.org/10.1016/j.cviu.2016.07.005
 [A]  - Saurabh Gupta ET AL, "Learning Rich Features from RGB-D Images for Object Detection and Segmentation", SAT 2015 18th International Conference, Austin, TX, USA, September 24-27, 2015, Berlin, Heidelberg, Springer, (20140101), vol. 8695, pages 345 - 360, 032548, doi:10.1007/978-3-319-10584-0_23, ISBN 3540745491, XP055445798 [A] 1-15 * the whole document *

DOI:   http://dx.doi.org/10.1007/978-3-319-10584-0_23
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