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Extract from the Register of European Patents

EP About this file: EP3985552

EP3985552 - SYSTEM FOR DETECTION AND MANAGEMENT OF UNCERTAINTY IN PERCEPTION SYSTEMS [Right-click to bookmark this link]
StatusExamination is in progress
Status updated on  27.10.2023
Database last updated on 31.08.2024
FormerRequest for examination was made
Status updated on  28.10.2022
FormerThe application has been published
Status updated on  18.03.2022
Most recent event   Tooltip04.05.2024New entry: Reply to examination report 
Applicant(s)For all designated states
Deep Safety GmbH
Rheinstraße 46
12161 Berlin / DE
[2022/40]
Former [2022/16]For all designated states
Deep Safety GmbH
Mariendorger Damm 1
12099 Berlin / DE
Inventor(s)01 / Fuelster, Sven
10779 Berlin / DE
02 / Meyfarth, Ralph
12347 Berlin / DE
 [2022/16]
Representative(s)Eisenführ Speiser
Patentanwälte Rechtsanwälte PartGmbB
Stralauer Platz 34
10243 Berlin / DE
[2022/16]
Application number, filing date20201874.314.10.2020
[2022/16]
Filing languageEN
Procedural languageEN
PublicationType: A1 Application with search report 
No.:EP3985552
Date:20.04.2022
Language:EN
[2022/16]
Search report(s)(Supplementary) European search report - dispatched on:EP06.04.2021
ClassificationIPC:G06K9/00, G06K9/46, G06K9/62
[2022/16]
CPC:
G06V10/454 (EP); G06V10/26 (US); G06V10/764 (EP);
G06V10/776 (US); G06V10/82 (US); G06V20/56 (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 [2022/48]
Former [2022/16]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 
Extension statesBANot yet paid
MENot yet paid
Validation statesKHNot yet paid
MANot yet paid
MDNot yet paid
TNNot yet paid
TitleGerman:SYSTEM ZUR DETEKTION UND VERWALTUNG DER UNSICHERHEIT IN WAHRNEHMUNGSSYSTEMEN[2022/16]
English:SYSTEM FOR DETECTION AND MANAGEMENT OF UNCERTAINTY IN PERCEPTION SYSTEMS[2022/16]
French:SYSTÈME DE DÉTECTION ET DE GESTION DE L'INCERTITUDE DANS DES SYSTÈMES DE PERCEPTION[2022/16]
Examination procedure20.10.2022Amendment by applicant (claims and/or description)
20.10.2022Examination requested  [2022/48]
20.10.2022Date on which the examining division has become responsible
26.10.2023Despatch of a communication from the examining division (Time limit: M06)
03.05.2024Reply to a communication from the examining division
Fees paidRenewal fee
31.10.2022Renewal fee patent year 03
31.10.2023Renewal fee patent year 04
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Documents cited:Search[XI]  - Alex Kendall ET AL, "Bayesian SegNet: Model Uncertainty in Deep Convolutional Encoder-Decoder Architectures for Scene Understanding", doi:10.5244/C.31.57, (20161010), URL: https://arxiv.org/pdf/1511.02680v2.pdf, (20200730), XP055719206 [X] 1,7,10,13-15 * section "Conclusion"; page 9, column R, paragraph 1 * * figure 2 * * figures 5, 6 * * section "Understanding Model Uncertainty"; page 8 * * page 3, column R, paragraph 2 * [I] 2-6,8,11,12

DOI:   http://dx.doi.org/10.5244/C.31.57
 [A]  - ALEX KENDALL ET AL, "What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?", PROCEEDINGS OF THE 31ST CONFERENCE ON NEURAL INFORMATION PROCESSING SYSTEMS (NIPS 2017), (20171205), XP055651632 [A] 1-15 * page 4 - page 5 *
 [A]  - Pauline Luc ET AL, "Semantic Segmentation using Adversarial Networks", (20161125), URL: https://arxiv.org/pdf/1611.08408.pdf, XP055738490 [A] 1-15 * page 4 - page 5; figure 1 *
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