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Extract from the Register of European Patents

EP About this file: EP4280173

EP4280173 - MULTI-TASK OBJECT DETECTION METHOD, ELECTRONIC DEVICE, MEDIUM, AND VEHICLE [Right-click to bookmark this link]
StatusExamination is in progress
Status updated on  20.10.2023
Database last updated on 02.08.2024
Most recent event   Tooltip01.03.2024New entry: Reply to examination report 
Applicant(s)For all designated states
Anhui NIO Autonomous Driving Technology Co., Ltd.
Building F, Hengchuang Intelligent Technology Park
No. 3963 Susong Road
Economic and Technological Development Zone
Hefei, Anhui 230601 / CN
[2023/47]
Inventor(s)01 / MA, Ningning
Jiading Shanghai / CN
 [2023/47]
Representative(s)Vossius & Partner Patentanwälte Rechtsanwälte mbB
Siebertstraße 3
81675 München / DE
[2023/47]
Application number, filing date23173831.117.05.2023
[2023/47]
Priority number, dateCN20221054150917.05.2022         Original published format: CN202210541509
[2023/47]
Filing languageEN
Procedural languageEN
PublicationType: A1 Application with search report 
No.:EP4280173
Date:22.11.2023
Language:EN
[2023/47]
Search report(s)(Supplementary) European search report - dispatched on:EP26.09.2023
ClassificationIPC:G06V10/80, G06V10/82, G06N3/045
[2023/47]
CPC:
G06V10/82 (EP,CN,US); G06V20/58 (CN,US); G06V10/96 (US);
G06N3/045 (EP,CN); G06N3/0464 (EP); G06N3/08 (CN);
G06N3/09 (EP); G06V10/26 (CN); G06V10/40 (CN);
G06V10/7715 (US); G06V10/774 (US); G06V10/776 (US);
G06V10/806 (EP,CN,US); G06V20/588 (CN,US); G06V2201/07 (CN);
Y02T10/40 (EP) (-)
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,   ME,   MK,   MT,   NL,   NO,   PL,   PT,   RO,   RS,   SE,   SI,   SK,   SM,   TR [2023/47]
Extension statesBANot yet paid
Validation statesKHNot yet paid
MANot yet paid
MDNot yet paid
TNNot yet paid
TitleGerman:MULTITASK-OBJEKTERKENNUNGSVERFAHREN, ELEKTRONISCHE VORRICHTUNG, MEDIUM UND FAHRZEUG[2023/47]
English:MULTI-TASK OBJECT DETECTION METHOD, ELECTRONIC DEVICE, MEDIUM, AND VEHICLE[2023/47]
French:PROCÉDÉ DE DÉTECTION D'OBJET MULTITÂCHE, DISPOSITIF ÉLECTRONIQUE, SUPPORT ET VÉHICULE[2023/47]
Examination procedure16.06.2023Examination requested  [2023/47]
26.09.2023Date on which the examining division has become responsible
23.10.2023Despatch of a communication from the examining division (Time limit: M04)
01.03.2024Reply to a communication from the examining division
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Documents cited:Search[XI]  - GHIASI GOLNAZ ET AL, "NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object Detection", 2019 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR), IEEE, (20190615), doi:10.1109/CVPR.2019.00720, pages 7029 - 7038, XP033687521 [X] 1,8,9 * Section 4.2;; figures 2,6,7 * [I] 2-7,10

DOI:   http://dx.doi.org/10.1109/CVPR.2019.00720
 [A]  - LIN TSUNG-YI ET AL, "Feature Pyramid Networks for Object Detection", 2017 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR), IEEE COMPUTER SOCIETY, US, doi:10.1109/CVPR.2017.106, ISSN 1063-6919, (20170721), pages 936 - 944, (20171106), XP033249432 [A] 1-10 * abstract *

DOI:   http://dx.doi.org/10.1109/CVPR.2017.106
 [A]  - KIM SEUNG-WOOK ET AL, "Parallel Feature Pyramid Network for Object Detection", 20181006, (20181006), vol. 15, no. 474210, pages 239 - 256, XP047635705 [A] 1-10 * abstract *

DOI:   http://dx.doi.org/10.1007/978-3-030-01228-1_15
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.