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dc.contributor.author CEBAN, Vasile
dc.contributor.author TOFAN, Liviu
dc.date.accessioned 2023-09-13T10:38:15Z
dc.date.available 2023-09-13T10:38:15Z
dc.date.issued 2023
dc.identifier.citation CEBAN, Vasile, TOFAN, Liviu. AI and vision for self-driving cars. In: Conferinţa tehnico-ştiinţifică a studenţilor, masteranzilor şi doctoranzilor, Universitatea Tehnică a Moldovei, 5-7 aprilie 2023. Chișinău, 2023, vol. 2, pp. 86-89. ISBN 978-9975-45-956-3. ISBN 978-9975-45-957-7 (Vol.2). en_US
dc.identifier.isbn 978-9975-45-956-3
dc.identifier.isbn 978-9975-45-957-7
dc.identifier.uri http://repository.utm.md/handle/5014/23938
dc.description.abstract This paper explores the intersection of AI and vehicles, also on the smart city, with a focus on the potential benefits and challenges of using intelligent transportation systems and automated mobility to create sustainable, user-centered transportation systems. We have provided an overview of the use of artificial intelligence (AI) in cars. It explains that AI enables machines to mimic human functions such as reasoning, learning, planning and creativity, and can be used to improve mobility provision and transform urban landscapes. The brief also discusses the history of AI in cars, current examples of the use of AI in popular car brands, and the potential of AI to save lives and prevent accidents. In addition, it addresses some of the challenges and risks associated with implementing AI in cars, including the need to build trust and manage risk. To realize this vision, AI-based mobility solutions must be designed with the human user in mind and based on a deep understanding of society's needs and preferences. en_US
dc.language.iso en en_US
dc.publisher Universitatea Tehnică a Moldovei en_US
dc.rights Attribution-NonCommercial-NoDerivs 3.0 United States *
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/3.0/us/ *
dc.subject artificial intelligence en_US
dc.subject smart transport en_US
dc.subject self-driving cars en_US
dc.title AI and vision for self-driving cars en_US
dc.type Article en_US


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