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I. Swadexi, U. Rudi, N. Heriansyah
Pág. 53 - 59
In towards industry 4.0, the autodrive vehicle is needed to give people relaxed driving. There are many research in autodrive vehicle such as waymo-the Google driving car project and Tesla Self Driving Autopilot. In This paper is presented about Autodriv...
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Bohdan Petryshyn, Serhii Postupaiev, Soufiane Ben Bari and Armantas Ostreika
The development of autonomous driving models through reinforcement learning has gained significant traction. However, developing obstacle avoidance systems remains a challenge. Specifically, optimising path completion times while navigating obstacles is ...
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Yasser Bin Salamah
In the past few years, there has been a growing interest among researchers in developing control systems for autonomous vehicles, specifically for tractor-trailer systems. This newfound interest is driven by the potential benefits of enhancing safety, re...
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Yu-Cheng Fan and Sheng-Bi Wang
With the advancement of artificial intelligence, deep learning technology is applied in many fields. The autonomous car system is one of the most important application areas of artificial intelligence. LiDAR (Light Detection and Ranging) is one of the mo...
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Fabio Arena, Giovanni Pau and Alessandro Severino
In recent years, the smart car sector has been increasing enormously in the Internet of Things (IoT) market. Furthermore, the number of smart cars seems set to increase over the next few years. This goal will be achieved because the application of recent...
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Hayato Yajima and Kazumasa Takami
The Japanese government aims to introduce self-driven vehicles by 2020 to reduce the number of accidents and traffic jams. Various methods have been proposed for traffic control at accident-prone intersections to achieve safe and efficient self-driving. ...
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Daniëlle Snellen, Guus de Hollander
Pág. 3 - 12
In recent years both our need or desire for mobility and the opportunities and tools available to meet them have changed (and keep on changing) as a result of information and communication technologies (ICT's). ICT's have influenced both our transport mo...
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Cho Wonwoo, Shin Hanseop, Kim Sangbong, Kim KamLae, Choi Yunsoo
Pág. 189 - 198
Recently, together with the self-driving car commercialization technology development, the precision road map is being made to support the policy. To make the precision road map, exact and precise spatial information around the road, which can enhance th...
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Johanna P. Zmud, Ipek N. Sener
Pág. 2500 - 2519
This study gathered empirical evidence on adoption patterns of self-driving vehicles, people's likely use of them, and how that might influence amount of travel, mode choice, auto ownership, and other travel behaviour decisions. Because self-driving vehi...
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Khattab M. Ali Alheeti, Anna Gruebler and Klaus McDonald-Maier
Vehicular ad hoc networks (VANETs) play a vital role in the success of self-driving and semi self-driving vehicles, where they improve safety and comfort. Such vehicles depend heavily on external communication with the surrounding environment via data co...
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