EP4280173 - MULTI-TASK OBJECT DETECTION METHOD, ELECTRONIC DEVICE, MEDIUM, AND VEHICLE [Right-click to bookmark this link] | Status | Examination is in progress Status updated on 20.10.2023 Database last updated on 02.08.2024 | Most recent event Tooltip | 01.03.2024 | New 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 date | 23173831.1 | 17.05.2023 | [2023/47] | Priority number, date | CN202210541509 | 17.05.2022 Original published format: CN202210541509 | [2023/47] | Filing language | EN | Procedural language | EN | Publication | Type: | A1 Application with search report | No.: | EP4280173 | Date: | 22.11.2023 | Language: | EN | [2023/47] | Search report(s) | (Supplementary) European search report - dispatched on: | EP | 26.09.2023 | Classification | IPC: | 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 states | 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, ME, MK, MT, NL, NO, PL, PT, RO, RS, SE, SI, SK, SM, TR [2023/47] | Extension states | BA | Not yet paid | Validation states | KH | Not yet paid | MA | Not yet paid | MD | Not yet paid | TN | Not yet paid | Title | German: | 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 procedure | 16.06.2023 | Examination requested [2023/47] | 26.09.2023 | Date on which the examining division has become responsible | 23.10.2023 | Despatch of a communication from the examining division (Time limit: M04) | 01.03.2024 | Reply to a communication from the examining division |
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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. | 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 |