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Internet of Things in Self-driving Cars Environment [PDF]
Interdisciplinary Description of Complex Systems, 2023 The development of Self-Driving cars has had two main approaches, the vehicle as an individual object, allowing it to perceive the environment and react to it, and seeing it as part of an autonomous system (smart city) where the environment is ...
César Bautista, Gyula Mester
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Autonomous Cars - What Lies Behind the Lack of Readiness [PDF]
Interdisciplinary Description of Complex Systems, 2023 Autonomous systems are already available for public and private transport. The necessary hardware and software products have been created, and novel designs for (semi-) autonomous vehicles are launched every year, but their use is limited, and the ...
Péter Szikora, Rozália Szatmáry
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The Safety Paradox of Self-Driving Cars
Asia Marketing Journal, 2022 Self-driving cars are undergoing extensive road tests and should enter the market within the decade, but consumers continue to worry about the safety of autonomous vehicles—even though most traffic accidents are caused by human errors that are avoidable ...
Yeh Jun Lee, Jongwon Park
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Journal of Advanced Transportation, 2022 Saudi Arabia has an ambitious vision that embraces artificial intelligence (AI) technologies at a mass scale in new cities such as Neom. Self-driving has recently become one of the most important AI applications due to the advancement of sensors and AI ...
Faisal S. Alsubaei
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Sensors, 2023 Despite the fact that autonomous driving systems are progressing in terms of their automation levels, the achievement of fully self-driving cars is still far from realization. Currently, most new cars accord with the Society of Automotive Engineers (SAE)
Javier Saez-Perez +3 more
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Markov probabilistic decision making of self-driving cars in highway with random traffic flow: a simulation study [PDF]
Journal of Intelligent and Connected Vehicles, 2018 Purpose - Decision-making is one of the key technologies for self-driving cars. The high dependency of previously existing methods on human driving data or rules makes it difficult to model policies for different driving situations.
Yang Guan +4 more
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Civil and criminal liability for damage caused by self–driving cars
Vilnius University Open Series, 2021 The article aims to analyse and assess whether the existing legal regulation in Lithuania is sufficient for application of civil and criminal liability for damage caused by fully self–driving cars.
Deimantė Rimkutė, Kristijonas Povylius
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Automatic Identification of Emergency Sounds for Self-Driving Cars
Pakistan Journal of Engineering & TechnologyAs the development of Self-Driving Cars (SDCs) advances, one important feature that requires attention is their ability to sense and respond to emergencies on the road.
Usman Afzal, Lubna Farhi
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A verification framework for behavioral safety of self‐driving cars
IET Intelligent Transport Systems, 2022 While self‐driving cars have already been widely investigated and achieved spectacular progress, a major obstacle in applications is the great difficulty in providing formal guarantees about their behaviors.
Huihui Wu +6 more
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Carpooling and the Economics of Self-Driving Cars [PDF]
Proceedings of the 2019 ACM Conference on Economics and Computation, 2018 We study the interplay between autonomous transportation, carpooling, and road pricing. We discuss how improvements in these technologies, and interactions among them, will affect transportation markets. Our main results show how to achieve socially efficient outcomes in such markets, taking into account the costs of driving, road capacity, and ...
Michael Ostrovsky, Michael Schwarz 0002
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