{"id":5475,"date":"2024-05-17T14:37:48","date_gmt":"2024-05-17T12:37:48","guid":{"rendered":"https:\/\/www.sequoia-iao.de\/?page_id=5475"},"modified":"2025-09-01T15:24:59","modified_gmt":"2025-09-01T13:24:59","slug":"verkehrszeichenerkennung","status":"publish","type":"page","link":"https:\/\/www.kqcbw.de\/en\/verkehrszeichenerkennung\/","title":{"rendered":"Traffic Sign Recognition"},"content":{"rendered":"<div data-elementor-type=\"wp-page\" data-elementor-id=\"5475\" class=\"elementor elementor-5475\" data-elementor-post-type=\"page\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-9b94ddf elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"9b94ddf\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-dfbf00c\" data-id=\"dfbf00c\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-68b483e elementor-widget elementor-widget-heading\" data-id=\"68b483e\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Traffic Sign Recognition<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-3711b38 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"3711b38\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-7374e13\" data-id=\"7374e13\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-9628e23 elementor-cta--skin-classic elementor-animated-content elementor-bg-transform elementor-bg-transform-zoom-in elementor-widget elementor-widget-call-to-action\" data-id=\"9628e23\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"call-to-action.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-cta\">\n\t\t\t\t\t\t\t<div class=\"elementor-cta__content\">\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-content-item elementor-cta__content-item elementor-icon-wrapper elementor-cta__icon elementor-view-default\">\n\t\t\t\t\t\t<div class=\"elementor-icon\">\n\t\t\t\t\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" viewbox=\"0 0 380 380\"><defs><style>.cls-1{fill:#e24329;}.cls-2{fill:#fc6d26;}.cls-3{fill:#fca326;}<\/style><\/defs><g id=\"LOGO\"><path class=\"cls-1\" d=\"M282.83,170.73l-.27-.69-26.14-68.22a6.81,6.81,0,0,0-2.69-3.24,7,7,0,0,0-8,.43,7,7,0,0,0-2.32,3.52l-17.65,54H154.29l-17.65-54A6.86,6.86,0,0,0,134.32,99a7,7,0,0,0-8-.43,6.87,6.87,0,0,0-2.69,3.24L97.44,170l-.26.69a48.54,48.54,0,0,0,16.1,56.1l.09.07.24.17,39.82,29.82,19.7,14.91,12,9.06a8.07,8.07,0,0,0,9.76,0l12-9.06,19.7-14.91,40.06-30,.1-.08A48.56,48.56,0,0,0,282.83,170.73Z\"><\/path><path class=\"cls-2\" d=\"M282.83,170.73l-.27-.69a88.3,88.3,0,0,0-35.15,15.8L190,229.25c19.55,14.79,36.57,27.64,36.57,27.64l40.06-30,.1-.08A48.56,48.56,0,0,0,282.83,170.73Z\"><\/path><path class=\"cls-3\" d=\"M153.43,256.89l19.7,14.91,12,9.06a8.07,8.07,0,0,0,9.76,0l12-9.06,19.7-14.91S209.55,244,190,229.25C170.45,244,153.43,256.89,153.43,256.89Z\"><\/path><path class=\"cls-2\" d=\"M132.58,185.84A88.19,88.19,0,0,0,97.44,170l-.26.69a48.54,48.54,0,0,0,16.1,56.1l.09.07.24.17,39.82,29.82s17-12.85,36.57-27.64Z\"><\/path><\/g><\/svg>\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t<h3 class=\"elementor-cta__title elementor-cta__content-item elementor-content-item\">\n\t\t\t\t\t\tVerification of Neural Networks with Quantum Deterministic Annealing\t\t\t\t\t<\/h3>\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t<h5 class=\"elementor-cta__description elementor-cta__content-item elementor-content-item\">\n\t\t\t\t\t\tFraunhofer IPA\t\t\t\t\t<\/h5>\n\t\t\t\t\n\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-7080f08 elementor-widget__width-initial elementor-widget elementor-widget-text-editor\" data-id=\"7080f08\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"color: #ffffff;\">Verifying the input-output relations of a Neural Network is an important problem in machine learning. Here, we propose a quantum version of the deterministic annealing algorithm to solve the problem and apply it to traffic-sign recognition which is an essential task for self-driving vehicles.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<section class=\"elementor-section elementor-inner-section elementor-element elementor-element-432fda7 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"432fda7\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-inner-column elementor-element elementor-element-c6621b1\" data-id=\"c6621b1\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-41172db elementor-align-center elementor-widget elementor-widget-button\" data-id=\"41172db\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm elementor-animation-grow\" href=\"https:\/\/gitlab.cc-asp.fraunhofer.de\/fraunhofer_iao_qc\/sequoia_end-to-end\/neural-networks-with-quantum-deterministic-annealing\" target=\"_blank\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-button-text\">To the demonstrator in the Fraunhofer GitLab<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-inner-column elementor-element elementor-element-a12941a\" data-id=\"a12941a\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-68b98fb elementor-align-center elementor-widget elementor-widget-button\" data-id=\"68b98fb\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm elementor-animation-grow\" href=\"https:\/\/mybinder.org\/v2\/git\/https%3A%2F%2Fgitlab.cc-asp.fraunhofer.de%2Ffraunhofer_iao_qc%2Fsequoia_end-to-end%2Fneural-networks-with-quantum-deterministic-annealing\/HEAD\" target=\"_blank\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-button-text\">To the interactive Jupyter Notebook<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<div class=\"elementor-element elementor-element-2a129ae elementor-widget elementor-widget-spacer\" data-id=\"2a129ae\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-c439e4c elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"c439e4c\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-bdcc8c6\" data-id=\"bdcc8c6\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-86fde23 elementor-widget elementor-widget-text-editor\" data-id=\"86fde23\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h4><span style=\"color: #ffffff;\">Disclaimer<\/span><\/h4><p><span style=\"color: #ffffff;\">The interactive demonstrator notebooks have been licensed under the Apache licence (version 2.0). The files may only be used in accordance with the licence. A copy of the licence can be downloaded from <a style=\"color: #ffffff;\" href=\"https:\/\/www.apache.org\/licenses\/LICENSE-2.0\" target=\"_blank\" rel=\"noopener\">http:\/\/www.apache.org\/licenses\/LICENSE-2.0<\/a> Except as required by applicable law or agreed to in writing, software distributed under this licence is distributed on an \"AS IS\" basis, without warranties or conditions of any kind, either express or implied. See the licence for the specific rights and restrictions associated with it.<\/span><br \/><span style=\"color: #ffffff;\">This is a research prototype. Liability for loss of profit, loss of production, business interruption, loss of use, loss of data and information, financing costs and other financial and consequential damage is excluded, except in cases of gross negligence, intent and personal injury.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-0b981d7 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"0b981d7\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-32b5fc3\" data-id=\"32b5fc3\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap\">\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>","protected":false},"excerpt":{"rendered":"<p>Verkehrszeichenerkennung Verifikation neuronaler Netze mit quantendeterministischem Annealing Fraunhofer IPA Die \u00dcberpr\u00fcfung der Input-Output-Beziehungen eines neuronalen Netzes ist ein wichtiges Problem beim Maschinellen Lernen. Hier schlagen wir eine Quantenversion des deterministischen Annealing-Algorithmus vor, um das Problem zu l\u00f6sen, und wenden ihn auf die Verkehrszeichenerkennung an, die eine wesentliche Aufgabe f\u00fcr selbstfahrende Fahrzeuge darstellt. Zum Demonstrator im &hellip; <\/p>\n<p class=\"link-more\"><a href=\"https:\/\/www.kqcbw.de\/en\/verkehrszeichenerkennung\/\" class=\"more-link\">Read more<span class=\"screen-reader-text\"> &#8222;Verkehrszeichenerkennung&#8220;<\/span><\/a><\/p>","protected":false},"author":2,"featured_media":9842,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-5475","page","type-page","status-publish","has-post-thumbnail","hentry"],"featured_media_urls":{"thumbnail":["https:\/\/www.kqcbw.de\/wp-content\/uploads\/2025\/08\/Banner-Wide_ohne_Schrift-150x150.jpg",150,150,true],"medium":["https:\/\/www.kqcbw.de\/wp-content\/uploads\/2025\/08\/Banner-Wide_ohne_Schrift-300x117.jpg",300,117,true],"medium_large":["https:\/\/www.kqcbw.de\/wp-content\/uploads\/2025\/08\/Banner-Wide_ohne_Schrift-scaled.jpg",768,301,false],"large":["https:\/\/www.kqcbw.de\/wp-content\/uploads\/2025\/08\/Banner-Wide_ohne_Schrift-1024x401.jpg",950,372,true],"1536x1536":["https:\/\/www.kqcbw.de\/wp-content\/uploads\/2025\/08\/Banner-Wide_ohne_Schrift-scaled-1536x602.jpg",1536,602,true],"2048x2048":["https:\/\/www.kqcbw.de\/wp-content\/uploads\/2025\/08\/Banner-Wide_ohne_Schrift-scaled-2048x802.jpg",2048,802,true],"trp-custom-language-flag":["https:\/\/www.kqcbw.de\/wp-content\/uploads\/2025\/08\/Banner-Wide_ohne_Schrift-scaled-18x7.jpg",18,7,true],"inspiro-featured-image":["https:\/\/www.kqcbw.de\/wp-content\/uploads\/2025\/08\/Banner-Wide_ohne_Schrift-2000x783.jpg",2000,783,true],"inspiro-loop":["https:\/\/www.kqcbw.de\/wp-content\/uploads\/2025\/08\/Banner-Wide_ohne_Schrift-950x320.jpg",950,320,true],"inspiro-loop@2x":["https:\/\/www.kqcbw.de\/wp-content\/uploads\/2025\/08\/Banner-Wide_ohne_Schrift-1900x640.jpg",1900,640,true],"portfolio_item-thumbnail":["https:\/\/www.kqcbw.de\/wp-content\/uploads\/2025\/08\/Banner-Wide_ohne_Schrift-scaled-600x400.jpg",600,400,true],"portfolio_item-thumbnail@2x":["https:\/\/www.kqcbw.de\/wp-content\/uploads\/2025\/08\/Banner-Wide_ohne_Schrift-scaled-1200x800.jpg",1200,800,true],"portfolio_item-masonry":["https:\/\/www.kqcbw.de\/wp-content\/uploads\/2025\/08\/Banner-Wide_ohne_Schrift-scaled-600x235.jpg",600,235,true],"portfolio_item-masonry@2x":["https:\/\/www.kqcbw.de\/wp-content\/uploads\/2025\/08\/Banner-Wide_ohne_Schrift-scaled-1200x470.jpg",1200,470,true],"portfolio_item-thumbnail_cinema":["https:\/\/www.kqcbw.de\/wp-content\/uploads\/2025\/08\/Banner-Wide_ohne_Schrift-scaled-800x335.jpg",800,335,true],"portfolio_item-thumbnail_portrait":["https:\/\/www.kqcbw.de\/wp-content\/uploads\/2025\/08\/Banner-Wide_ohne_Schrift-scaled-600x900.jpg",600,900,true],"portfolio_item-thumbnail_portrait@2x":["https:\/\/www.kqcbw.de\/wp-content\/uploads\/2025\/08\/Banner-Wide_ohne_Schrift-scaled-1200x1003.jpg",1200,1003,true],"portfolio_item-thumbnail_square":["https:\/\/www.kqcbw.de\/wp-content\/uploads\/2025\/08\/Banner-Wide_ohne_Schrift-scaled-800x800.jpg",800,800,true]},"_links":{"self":[{"href":"https:\/\/www.kqcbw.de\/en\/wp-json\/wp\/v2\/pages\/5475","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.kqcbw.de\/en\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.kqcbw.de\/en\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.kqcbw.de\/en\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.kqcbw.de\/en\/wp-json\/wp\/v2\/comments?post=5475"}],"version-history":[{"count":37,"href":"https:\/\/www.kqcbw.de\/en\/wp-json\/wp\/v2\/pages\/5475\/revisions"}],"predecessor-version":[{"id":10236,"href":"https:\/\/www.kqcbw.de\/en\/wp-json\/wp\/v2\/pages\/5475\/revisions\/10236"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.kqcbw.de\/en\/wp-json\/wp\/v2\/media\/9842"}],"wp:attachment":[{"href":"https:\/\/www.kqcbw.de\/en\/wp-json\/wp\/v2\/media?parent=5475"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}