blank Quick help
blank Maintenance news

Scheduled maintenance

Regular maintenance outages:
between 05.00 and 05.15 hrs CET (Monday to Sunday).

Other outages
Availability

2022.02.11

More...
blank News flashes

News Flashes

New version of the European Patent Register – SPC proceedings information in the Unitary Patent Register.

2024-07-24

More...
blank Related links

Extract from the Register of European Patents

EP About this file: EP4091104

EP4091104 - DATA INTERPRETATION SYSTEM, VEHICLE, METHOD FOR INTERPRETING INPUT DATA, COMPUTER PROGRAM AND COMPUTER-READABLE MEDIUM [Right-click to bookmark this link]
StatusExamination is in progress
Status updated on  22.02.2024
Database last updated on 25.09.2024
FormerRequest for examination was made
Status updated on  21.10.2022
FormerThe international publication has been made
Status updated on  23.07.2021
Formerunknown
Status updated on  01.02.2020
Most recent event   Tooltip20.06.2024New entry: Reply to examination report 
Applicant(s)For all designated states
Toyota Motor Europe
Avenue du Bourget 60
1140 Brussels / BE
For all designated states
ETH Zurich - The Swiss Federal Institute of Technology Zurich
Raemistrasse 101
8092 Zurich / CH
For all designated states
Katholieke Universiteit Leuven
K.U. Leuven R&D
Waaistraat 6 box 5105
3000 Leuven / BE
[2022/47]
Inventor(s)01 / ABBELOOS, Wim
c/o Toyota Motor Europe
Technical Strategic Planning Operation
Avenue du Bourget 60
1140 Brussels / BE
02 / GEORGOULIS, Stamatios
c/o ETH Zurich The Swiss Federal Institute of
Technology Zurich
Raemistrasse 101
8092 Zurich / CH
03 / VAN GOOL, Luc
c/o ETH Zurich The Swiss Federal Institute of
Technology Zurich
Raemistrasse 101
8092 Zurich / CH
04 / VANDENHENDE, Simon
c/o Katholieke Universiteit Leuven
K.U., Leuven R&D
Waaistraat 6 - box 5105
3000 Leuven / BE
 [2022/47]
Representative(s)Cabinet Beau de Loménie
158, rue de l'Université
75340 Paris Cedex 07 / FR
[2022/47]
Application number, filing date20701406.914.01.2020
[2022/47]
WO2020EP50839
Filing languageEN
Procedural languageEN
PublicationType: A1 Application with search report
No.:WO2021144007
Date:22.07.2021
Language:EN
[2021/29]
Type: A1 Application with search report 
No.:EP4091104
Date:23.11.2022
Language:EN
The application published by WIPO in one of the EPO official languages on 22.07.2021 takes the place of the publication of the European patent application.
[2022/47]
Search report(s)International search report - published on:EP22.07.2021
ClassificationIPC:G06N3/00, G06N3/04, G06N3/08
[2022/47]
CPC:
G06N3/08 (EP); G06N3/045 (EP); G06N3/044 (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,   MK,   MT,   NL,   NO,   PL,   PT,   RO,   RS,   SE,   SI,   SK,   SM,   TR [2022/47]
TitleGerman:DATENINTERPRETATIONSSYSTEM, FAHRZEUG, VERFAHREN ZUR INTERPRETATION VON EINGANGSDATEN, COMPUTERPROGRAMM UND COMPUTERLESBARES MEDIUM[2022/47]
English:DATA INTERPRETATION SYSTEM, VEHICLE, METHOD FOR INTERPRETING INPUT DATA, COMPUTER PROGRAM AND COMPUTER-READABLE MEDIUM[2022/47]
French:SYSTÈME D'INTERPRÉTATION DE DONNÉES, VÉHICULE, PROCÉDÉ D'INTERPRÉTATION DE DONNÉES D'ENTRÉE, PROGRAMME INFORMATIQUE, ET SUPPORT LISIBLE PAR ORDINATEUR[2022/47]
Entry into regional phase05.07.2022National basic fee paid 
05.07.2022Designation fee(s) paid 
05.07.2022Examination fee paid 
Examination procedure05.07.2022Examination requested  [2022/47]
05.07.2022Date on which the examining division has become responsible
24.02.2023Amendment by applicant (claims and/or description)
21.02.2024Despatch of a communication from the examining division (Time limit: M04)
19.06.2024Reply to a communication from the examining division
Fees paidRenewal fee
05.07.2022Renewal fee patent year 03
25.01.2023Renewal fee patent year 04
17.01.2024Renewal fee patent year 05
Opt-out from the exclusive  Tooltip
competence of the Unified
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.
Cited inInternational search[XDI]  - XU DAN ET AL, "PAD-Net: Multi-tasks Guided Prediction-and-Distillation Network for Simultaneous Depth Estimation and Scene Parsing", 2018 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, IEEE, (20180618), doi:10.1109/CVPR.2018.00077, pages 675 - 684, XP033476028 [XD] 1,5-9,11,13-16 * the whole document * [I] 2-4,10,12

DOI:   http://dx.doi.org/10.1109/CVPR.2018.00077
 [A]  - YE LYU ET AL, "LIP: Learning Instance Propagation for Video Object Segmentation", ARXIV.ORG, CORNELL UNIVERSITY LIBRARY, 201 OLIN LIBRARY CORNELL UNIVERSITY ITHACA, NY 14853, (20190930), XP081498371 [A] 1-16 * the whole document *
by applicant   - TSUN-YI LINPIOTR DOLL'ARROSS GIRSHICKKAIMING HEBHARATH HARIHARANSERGE BELONGIE, "Feature pyramid networks for object detection", CVPR, (20170000), pages 2117 - 2125
    - KE SUNBIN XIAODONG LIUJINGDONG WANG, "Deep high-resolution representation learning for human pose estimation", CVPR, (20190000), pages 5693 - 5703
    - DAN XUWANLI OUYANGXIAOGANG WANGNICU SEBE, "Pad-net: Multi-tasks guided prediction-and-distillation network for simultaneous depth estimation and scene parsing", CVPR, (20180000), doi:10.1109/CVPR.2018.00077, pages 675 - 684, XP033476028

DOI:   http://dx.doi.org/10.1109/CVPR.2018.00077
    - ZHENYU ZHANGZHEN CUICHUNYAN XUYAN YANNICU SEBEJIAN YANG, "Pattern-affinitive propagation across depth, surface normal and semantic segmentation", CVPR, (20190000), pages 4106 - 4115
    - JIE HULI SHENGANG SUN, "Squeeze-and-excitation networks", CVPR, (20180000), doi:10.1109/CVPR.2018.00745, pages 7132 - 7141, XP055617919

DOI:   http://dx.doi.org/10.1109/CVPR.2018.00745
    - ALEXANDER KIRILLOVROSS GIRSHICKKAIMING HEPIOTR DOLL'AR, "Panoptic feature pyramid networks", CVPR, (20190000), pages 6399 - 6408
    - KAIMING HEXIANGYU ZHANGSHAOQING RENJIAN SUN, "Deep residual learning for image recognition", CVPR, (20160000), doi:10.1109/CVPR.2016.90, pages 770 - 778, XP055536240

DOI:   http://dx.doi.org/10.1109/CVPR.2016.90
    - ZHENYU ZHANGZHEN CUICHUNYAN XUZEQUN JIEXIANG LIJIAN YANG, "Joint task-recursive learning for semantic segmentation and depth estimation", ECCV, (20180000), pages 235 - 251
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.