{"id":36345,"date":"2020-01-07T13:45:16","date_gmt":"2020-01-07T18:45:16","guid":{"rendered":"https:\/\/www.opensource.im\/uncategorized\/flir-systems-and-ansys-to-speed-thermal-camera-machine-learning-for-safer-cars-business-wire.php"},"modified":"2020-01-07T13:45:16","modified_gmt":"2020-01-07T18:45:16","slug":"flir-systems-and-ansys-to-speed-thermal-camera-machine-learning-for-safer-cars-business-wire","status":"publish","type":"post","link":"https:\/\/euvolution.com\/open-source-convergence\/machine-learning\/flir-systems-and-ansys-to-speed-thermal-camera-machine-learning-for-safer-cars-business-wire.php","title":{"rendered":"FLIR Systems and ANSYS to Speed Thermal Camera Machine Learning for Safer Cars &#8211; Business Wire"},"content":{"rendered":"<p><p>ARLINGTON, Va.--(BUSINESS WIRE)--FLIR Systems, Inc. (NASDAQ: FLIR) and ANSYS       (NASDAQ: ANSS) are collaborating to deliver superior hazard detection       capabilities for assisted driving and autonomous vehicles (AVs)        empowering automakers to deliver unprecedented vehicle safety. Through       this collaboration, FLIR will integrate a fully physics-based thermal       sensor into ANSYS leading-edge driving simulator to model,       test, and validate thermal camera designs within an ultra-realistic       virtual world. The new solution will reduce original equipment       manufacturers (OEM) development time by optimizing thermal camera       placement for use with tools such as automatic emergency braking (AEB),       pedestrian detection, and within future AVs.    <\/p>\n<p>      Having the ability to test in virtual environments complements the       existing systems available to FLIR customers and partners, including the       FLIR automotive development kit (ADK) featuring a FLIR Boson thermal       camera, the FLIR starter thermal dataset and the regional, city-specific       thermal datasets. The FLIR thermal dataset programs were created for       machine learning in advanced driver assistance development (ADAS), AEB,       and AV systems.    <\/p>\n<p>      The current AV and ADAS sensors face challenges in darkness or shadows,       sun glare and inclement weather such as most fog. Thermal cameras,       however, can effectively detect and classify objects in these       conditions. Integrating FLIR Systems thermal sensor into ANSYS       VRXPERIENCE enables simulation of thousands of driving       scenarios across millions of miles in mere days. Furthermore, engineers       can simulate difficult-to-produce scenarios where thermal provides       critical data, including detecting pedestrians in crowded, low-contrast       environments.    <\/p>\n<p>      By adding ANSYS industry-leading simulation solutions to the existing       suite of tools for physical testing, engineers, automakers, and       automotive suppliers can improve the safety of vehicles in all types of       driving conditions, said Frank Pennisi, President of the Industrial       Business Unit at FLIR Systems. The industry can also recreate corner       cases that drivers can see every day but are difficult to replicate in       physical environments, paving the way for improved neural networks and       the performance of safety features such as AEB.    <\/p>\n<p>      FLIR Systems recognizes the limitations of relying solely on gathering       machine learning datasets in the physical world to make automotive       thermal cameras as safe and reliable as possible for automotive uses,       said Eric Bantegnie, Vice president and General Manager at ANSYS. Now       with ANSYS solutions, FLIR can further empower automakers to speed the       creation and certification of assisted-driving systems with thermal       cameras.    <\/p>\n<p>      In addition to the city-specific data sets, FLIR has more than a decade       of experience in the automotive industry. FLIR has provided more than       700,000 thermal sensors as part of its night vision warning systems for       a variety of carmakers, including GM, Audi and Mercedes-Benz. Also, FLIR       recently announced that its thermal sensor has been selected by Veoneer,       a tier-one automotive supplier, for its level-four AV production       contract with a top global automaker, planned for 2021.    <\/p>\n<p>      FLIR Systems thermal-enhanced demonstration car, along with other       innovative FLIR products, will be on display at the FLIR booth #8528       during the 2020 Consumer Electronics Show in Las Vegas, Nevada from       January 6 - 10.    <\/p>\n<p>      For more information on FLIR Systems automotive solutions, please visit <a href=\"https:\/\/www.flir.com\/safercars\" rel=\"nofollow\">https:\/\/www.flir.com\/safercars<\/a>.    <\/p>\n<p>      About FLIR Systems, Inc.    <\/p>\n<p>      Founded in 1978, FLIR Systems is a world-leading industrial       technology company focused on intelligent sensing solutions for defense,       industrial, and commercial applications. FLIR Systems vision is to be       The Worlds Sixth Sense,\" creating technologies to help professionals       make more informed decisions that save lives and livelihoods. For more       information, please visit <a href=\"http:\/\/www.flir.com\" rel=\"nofollow\">http:\/\/www.flir.com<\/a>       and follow @flir.    <\/p>\n<\/p>\n<p><!-- Auto Generated --><\/p>\n<p>See the article here:<br \/>\n<a target=\"_blank\" href=\"https:\/\/www.businesswire.com\/news\/home\/20200107005299\/en\/FLIR-Systems-ANSYS-Speed-Thermal-Camera-Machine\" title=\"FLIR Systems and ANSYS to Speed Thermal Camera Machine Learning for Safer Cars - Business Wire\" rel=\"noopener noreferrer\">FLIR Systems and ANSYS to Speed Thermal Camera Machine Learning for Safer Cars - Business Wire<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p> ARLINGTON, Va.--(BUSINESS WIRE)--FLIR Systems, Inc. (NASDAQ: FLIR) and ANSYS (NASDAQ: ANSS) are collaborating to deliver superior hazard detection capabilities for assisted driving and autonomous vehicles (AVs) empowering automakers to deliver unprecedented vehicle safety. Through this collaboration, FLIR will integrate a fully physics-based thermal sensor into ANSYS leading-edge driving simulator to model, test, and validate thermal camera designs within an ultra-realistic virtual world<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[27373],"tags":[],"class_list":["post-36345","post","type-post","status-publish","format-standard","hentry","category-machine-learning"],"_links":{"self":[{"href":"https:\/\/euvolution.com\/open-source-convergence\/wp-json\/wp\/v2\/posts\/36345"}],"collection":[{"href":"https:\/\/euvolution.com\/open-source-convergence\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/euvolution.com\/open-source-convergence\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/euvolution.com\/open-source-convergence\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/euvolution.com\/open-source-convergence\/wp-json\/wp\/v2\/comments?post=36345"}],"version-history":[{"count":0,"href":"https:\/\/euvolution.com\/open-source-convergence\/wp-json\/wp\/v2\/posts\/36345\/revisions"}],"wp:attachment":[{"href":"https:\/\/euvolution.com\/open-source-convergence\/wp-json\/wp\/v2\/media?parent=36345"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/euvolution.com\/open-source-convergence\/wp-json\/wp\/v2\/categories?post=36345"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/euvolution.com\/open-source-convergence\/wp-json\/wp\/v2\/tags?post=36345"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}