Abstract
Automotive steering wheel switches technologies are evolving to give easy access to the several interior or exterior functions. This is worth a deep analysis for the current trends in order not to become unintuitive for the driver due to the increasing number of buttons. Through different technologies particularly the capacitive ones, range of innovative solutions have been developed like reconfigurable buttons on the steering wheel to offer commanding several functions twice or triple the number of allocated push buttons. In this paper, we address the problem in a different freely way to offer a wide band-use for the existing functions by developing handwriting letter recognition on the capacitive touch switches acting as touch pads. This approach relies on in-house acquired dataset in its algorithms. This significantly increases the interface capabilities and eases the access to the different functions like ADAS, infotainment, phone, etc. without having to take hands off the wheel. The interest of this solution is a modern access for the steering wheel switches and easy management for configuring the different functions.
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Acknowledgments
I sincerely thank the car lab team at Valeo Egypt who played important role in the successful completion of the environment setup and for delivering a powerful user driving experience for the stationary and driving modes in terms of mounting the switches inside the car and establishing connection with the car maker to approach realistic results as much as possible.
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Aboelnasr, M.H., AbdelBaki, N. (2023). Handwriting Letter Recognition on the Steering Wheel Switches. In: Hassanien, A.E., Snášel, V., Tang, M., Sung, TW., Chang, KC. (eds) Proceedings of the 8th International Conference on Advanced Intelligent Systems and Informatics 2022. AISI 2022. Lecture Notes on Data Engineering and Communications Technologies, vol 152. Springer, Cham. https://doi.org/10.1007/978-3-031-20601-6_47
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DOI: https://doi.org/10.1007/978-3-031-20601-6_47
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