Abstract
This work focuses on the design, development and use of an electric ATV (all terrain vehicle) starting from the conversion of such a thermal vehicle. It was proposed and realized a revolutionary concept of driving this vehicle in the first phase in order to reduce the consumption of electricity then and in order to add the autonomous driving component. Modeling and simulation of the control part with inverter were performed. A deep learning algorithm has been developed that allows this autonomous vehicle to be driven both indoors and out by using images taken and then processed in real time.
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Rus, C., Mija, N., Leba, M. (2020). Autonomous Electric ATV Using IPM Based Inverter Control and Deep Learning. In: Rocha, Á., Adeli, H., Reis, L., Costanzo, S., Orovic, I., Moreira, F. (eds) Trends and Innovations in Information Systems and Technologies. WorldCIST 2020. Advances in Intelligent Systems and Computing, vol 1159. Springer, Cham. https://doi.org/10.1007/978-3-030-45688-7_73
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DOI: https://doi.org/10.1007/978-3-030-45688-7_73
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