With increased computing power, there are various advancements in the field of augmented reality (AR), simulation technology and visualization. Manufacturing a car is one of the potential areas where mixed reality is applied. Various famous industries like NASA, Volvo, Lowe’s, Audi and Volkswagen are implementing HoloLens for several reasons. A few reasons for entrancing simulation in HoloLens for exploration of hardware components, self-driving car model, etc. For example, Volvo is at the vanguard of exploring automation to put Microsoft’s HoloLens mixed reality into its manufacturing toolkit. The particular set of Volvo vehicles is the main example of their scalable product architecture (SPA) platform being manufactured and tested in HoloLens. Simulations were designed and modified several times before the first XC90 or S90. Ford is operating HoloLens with designers to quickly prototype changes to cars. This allows designers and customers to see the enhancement on top of a current physical vehicle instead of the conventional clay model approach to designing a car. Devices like HoloLens, Google Glass, Apple Glass and Google ARCore are used to generate these applications. While the mixed reality is a major tool, artificial intelligence (AI) and machine learning (ML) can also help change car automation and manufacturing methods. The focus is to develop an application which can offer advantages to car industries for both producers and consumers through combining AI, mixed reality and ML technologies. Hence, this paper focuses on making a simulated Go-Kart system in HoloLens through a mixed reality application in which we can see the detailed version of a chosen car and choose a race track or a city line area to which we can implement autonomous driving.


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    Titel :

    Go-Kart Simulation in HoloLens


    Weitere Titelangaben:

    Algorithms for Intelligent Systems


    Beteiligte:
    Tiwari, Ritu (Herausgeber:in) / Pavone, Mario F. (Herausgeber:in) / Saraswat, Mukesh (Herausgeber:in) / Paridhi, K. (Autor:in) / Olabisi, Shola (Autor:in) / Srinivasa Murthy, Y. V. (Autor:in) / Vaishnavi, J. (Autor:in)

    Kongress:

    International Conference on Computational Intelligence ; 2022 ; Pune, India December 29, 2022 - December 30, 2022



    Erscheinungsdatum :

    2023-07-13


    Format / Umfang :

    9 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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