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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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Priyank Kalgaonkar and Mohamed El-Sharkawy
Artificial Intelligence (AI) combines computer science and robust datasets to mimic natural intelligence demonstrated by human beings to aid in problem-solving and decision-making involving consciousness up to a certain extent. From Apple?s virtual perso...
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Shamim Younas, Faisal Rehman, Tahir Maqsood, Saad Mustafa, Adnan Akhunzada and Abdullah Gani
Vehicle ad hoc networks (VANETs) are vital towards the success and comfort of self-driving as well as semi-automobile vehicles. Such vehicles rely heavily on data management and the exchange of Cooperative Awareness Messages (CAMs) for external communica...
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Vladislav Shatravin, Dmitriy Shashev and Stanislav Shidlovskiy
The remarkable results of applying machine learning algorithms to complex tasks are well known. They open wide opportunities in natural language processing, image recognition, and predictive analysis. However, their use in low-power intelligent systems i...
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Arghavan Asad, Rupinder Kaur and Farah Mohammadi
From self-driving cars to detecting cancer, the applications of modern artificial intelligence (AI) rely primarily on deep neural networks (DNNs). Given raw sensory data, DNNs are able to extract high-level features after the network has been trained usi...
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Yazan Alqudah,Belal Sababha,Esam Qaralleh,Tarek Yousseff
Pág. pp. 124 - 136
With the ever-increasing vehicle population and introduction of autonomous and self-driving cars, innovative research is needed to ensure safety and reliability on the road. This work introduces an innovative solution that aims at understanding vehicle b...
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Dariusz Gotlib, Robert Olszewski and Georg Gartner
In the face of strikingly intense technological development, there have been significant discrepancies in the understanding of the concept of the map; an understanding that is fundamental to cartography and, more broadly, GIScience. The development of el...
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Luis A. Curiel-Ramirez, Ricardo A. Ramirez-Mendoza, Rolando Bautista-Montesano, M. Rogelio Bustamante-Bello, Hugo G. Gonzalez-Hernandez, Jorge A. Reyes-Avedaño and Edgar Cortes Gallardo-Medina
Autonomous Vehicles (AVs) have caught people?s attention in recent years, not only from an academic or developmental viewpoint but also because of the wide range of applications that these vehicles may entail, such as intelligent mobility and logistics, ...
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Fusheng Zha, Yu Fu, Pengfei Wang, Wei Guo, Mantian Li, Xin Wang and Hegao Cai
Three-dimensional reconstruction and semantic understandings have attracted extensive attention in recent years. However, current reconstruction techniques mainly target large-scale scenes, such as an indoor environment or automatic self-driving cars. Th...
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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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