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  3. NTTデータ オートモビリジェンス研究所 経営管理部
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NTTデータ オートモビリジェンス研究所 経営管理部

EstablishmentNovember 14, 1973
capital36800Ten thousand
number of employees70
addressKanagawa/Kohoku-ku, Yokohama-shi/3-1-9 Arena Tower, Shin-Yokohama
phone045-473-2816
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last updated:Dec 07, 2020
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NTTデータ オートモビリジェンス研究所 List of News Articles

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Open-sourcing verification infrastructure software to promote the development of autonomous driving systems - Free release of the source code for the autonomous driving system verification infrastructure software "GARDEN ScenarioPlatform".

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NTT Data Corporation's Automotive Intelligence Research Institute (Headquarters: Yokohama City, Kanagawa Prefecture, President and CEO: Akifumi Nakai, hereinafter referred to as ARC) has released the open-source software "GARDEN Scenario Platform" on June 18, 2021, as part of the research and development project "GARDEN," which promotes the softwareization of a group of functions necessary for the next-generation mobility society, such as the "autonomous driving system verification and development platform." The aim is to widely allow stakeholders involved in software development related to autonomous driving system control, including automobile manufacturers and suppliers, to modify and utilize it, thereby contributing to the promotion of autonomous driving system development. For more details, please refer to the full text of this news release in the related links.

Jun 22, 2021

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Starting April 1, we will begin offering the "Smart Test" solution, which automatically generates user scenario test cases targeting the connected cockpit cabin area, achieving efficient evaluation!

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NTT Data Corporation's Automotive Intelligence Research Institute (Headquarters: Yokohama City, Kanagawa Prefecture; President and CEO: Akifumi Nakai, hereinafter referred to as ARC) will provide the solution "Smart Test" starting April 1st, which efficiently automates the generation of user scenario test cases and test automation in areas such as connected cars, cockpits, and cabins. By implementing "Smart Test," we will efficiently generate verification scenarios and support the acceleration of high-quality next-generation automobile development. <Features> 1. Automatic generation of user scenario test cases 2. Generation of risk-based scenarios 3. Modeling of test design to reduce deliverable weight 4. Feedback of evaluation models into design * Functionality for model simulation execution is planned to be added. For more details, please refer to the full press release linked in the related links.

Mar 30, 2021

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