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Bijayita Thapa, Eduardo B. Fernandez, Ionut Cardei and Maria M. Larrondo-Petrie
Sensors and actuators are fundamental units in Cyber?Physical and Internet of Things systems. Because they are included in a variety of systems, using many technologies, it is very useful to characterize their functions abstractly by describing them as A...
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Chang-il Kim, Jinuk Park, Yongju Park, Woojin Jung and Yong-seok Lim
A traffic sign recognition system is crucial for safely operating an autonomous driving car and efficiently managing road facilities. Recent studies on traffic sign recognition tasks show significant advances in terms of accuracy on several benchmarks. H...
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Inês A. Ribeiro, Tiago Ribeiro, Gil Lopes and A. Fernando Ribeiro
This paper presents a solution for an autonomously driven vehicle (a robotic car) based on artificial intelligence using a supervised learning method. A scaled-down robotic car containing only one camera as a sensor was developed to participate in the Ro...
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Ömer Kaya, Muhammed Yasin Çodur and Enea Mustafaraj
Autonomous vehicles have gained popularity in recent years, but they are still not compatible with other vulnerable components of the traffic system, including pedestrians, bicyclists, motorcyclists, and occupants of smaller vehicles such as passenger ca...
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Erick Rodríguez-Hernández, Juan Irving Vasquez, Carlos Alberto Duchanoy Martínez and Hind Taud
A policy determines the action that an autonomous car needs to take according to its current situation. For example, the car keeps itself on track or overtakes another car, among other policies. Some autonomous cars could need more than one policy to dri...
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Rongqin Lu, Xiaomei Zhao and Yingqi Wang
Considering the characteristics of different types of users in hybrid carsharing systems, in which sharing autonomous vehicles (SAVs) and conventional sharing cars (CSCs) coexist, a tailored pricing strategy (TPS) is proposed to maximize the operator?s p...
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Martin Holen, Kristian Muri Knausgård and Morten Goodwin
Autonomous driving is a research field that has received attention in recent years, with increasing applications of reinforcement learning (RL) algorithms. It is impractical to train an autonomous vehicle thoroughly in the physical space, i.e., the so-ca...
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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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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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Junoh Kim, Jisun Park and Kyungeun Cho
Considering autonomous navigation in busy marine traffic environments (including harbors and coasts), major study issues to be solved for autonomous ships are avoidance of static and dynamic obstacles, surface vehicle control in consideration of the envi...
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