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Development of a Simulator Tool for Teaching the Autonomous Vehicles Behavior

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Artificial Intelligence and Online Engineering (REV 2022)

Abstract

The paper is proposing a high-level simulation tool for teaching and learning autonomous vehicle behavior. Simulation tools offer numerous points of interest compared to conventional teaching strategies. Different concepts are presented, some of them allowing interactions between the user and simulated equipment (vehicles, sensors). A simulation tool has been developed based on Kolb’s Experiential Learning Theory (ELT) in a pedagogical manner. The teaching-learning methodology presented in this study is a reflection on interactive, collaborative, and experiential learning environment for autonomous vehicles curriculum, using Kolb’s theory as an educational approach to promote student learning and development, preparing them for real-world situations, and an interactive driving simulator as a teaching tool.

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Notes

  1. 1.

    Moog motion system, https://www.moog.com/products/motion-systems.html, last accessed 2021/12/21.

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    Epic Game Unreal Engine, https://www.unrealengine.com/en-US/, last accessed 2021/12/21.

  3. 3.

    Stateflow chart, https://www.mathworks.com/help/stateflow/gs/finite-state-machines.html, last accessed 2021/12/21.

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Acknowledgements

This work was supported by a grant of the Romanian Ministry of Research, Innovation and Digitization, CNCS/CCCDI – UEFISCDI, project number PN-III-P2–2.1-PED-2019–4366 within PNCDI III (431PED).

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Correspondence to Ioana-Diana Buzdugan .

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Buzdugan, ID., Roșu, IA., Antonya, C. (2023). Development of a Simulator Tool for Teaching the Autonomous Vehicles Behavior. In: Auer, M.E., El-Seoud, S.A., Karam, O.H. (eds) Artificial Intelligence and Online Engineering. REV 2022. Lecture Notes in Networks and Systems, vol 524. Springer, Cham. https://doi.org/10.1007/978-3-031-17091-1_8

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