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Zhen Liu, Qifeng Yang, Anlue Wang and Xingyu Gu
In the process of driving in an underground interchange, drivers are faced with many challenges, such as being in a closed space, visual changes alternating between light and dark conditions, complex road conditions in the confluence section, and dense s...
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Lubo? Nouzovský, Pavel Vrtal, Tomá? Kohout and Zdenek Svatý
The paper focuses on road safety assessment. The main objective was to assess the impact of different types and sizes of advertising devices as a potential distraction for drivers. Distraction of driver?s attention in real traffic was evaluated using the...
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João Soares, Bruno Canizes, Cristina Lobo, Zita Vale and Hugo Morais
This paper presents a simulator for electric vehicles in the context of smart grids and distribution networks. It aims to support network operators? planning and operations but can be used by other entities for related studies. The paper describes the pa...
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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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Thierry Bellet, Aurélie Banet, Marie Petiot, Bertrand Richard and Joshua Quick
This article is about the Human-Centered Design (HCD), development and evaluation of an Artificial Intelligence (AI) algorithm aiming to support an adaptive management of Human-Machine Transition (HMT) between car drivers and vehicle automation. The gene...
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Pasquale Sena, Matteo d?Amore, Maria Antonella Brandimonte, Rolando Squitieri, Anita Fiorentino
Pág. 4410 - 4419
Distraction has the potential to degrade driving performance and may have serious consequences for road safety. There is a number of research in this area and most studies concentrate on perception errors as a result of visual distraction, so much so tha...
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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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Dimosthenis Pavlou, Ion Beratis, Eleonora Papadimitriou, Constantinos Antoniou, ... Sokratis Papageorgiou
Pág. 4393 - 4402
Driving requires possessing cognitive, motor and visual skills and drivers need to have adequate motor strength, coordination and speed. More importantly, cognitive skills including concentration, attention, adequate visual perceptual skills, insight and...
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Javensius Sembiring, Rianto Adhy Sasongko, Eduardo I. Bastian, Bayu Aji Raditya and Rayhan Ekananto Limansubroto
This paper investigates the development of a deep learning-based flight control model for a tilt-rotor unmanned aerial vehicle, focusing on altitude, speed, and roll hold systems. Training data is gathered from the X-Plane flight simulator, employing a p...
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Yanfeng Li, Hsin Guan, Xin Jia and Chunguang Duan
A scenario vehicle in autonomous driving simulations is a dynamic entity that is expected to perform trustworthy bidirectional interaction tasks with the autonomous vehicle under test. Modeling interactive behavior can not only facilitate better predicti...
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Md Abdus Samad Kamal, Kotaro Hashikura, Tomohisa Hayakawa, Kou Yamada and Jun-ichi Imura
This paper presents Adaptive Cruise Control (ACC) with look-ahead anticipation, based on the model of ACC used in recent commercial vehicles, to take early decisions in driving a vehicle on the freeway. The existing ACC found in the high-end cars has lim...
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German Ardul Munoz-Hernandez, Gerardo Mino-Aguilar, Jose Fermi Guerrero-Castellanos and Edgar Peralta-Sanchez
This paper presents a design of a cruise control based on a fractional-order proportional and integral (PI) direct torque control applied to the traction system of an electric vehicle (EV). The paper also discusses the modeling, control design and simula...
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Sung Min Hong, Kyoung Nam Ha and Joon-Young Kim
This paper describes a study on the dynamic modeling and the motion simulation of an unmanned ocean platform to overcome the limitations of existing unmanned ocean platforms for ocean exploration. The proposed unmanned ocean vehicle combines an unmanned ...
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Toru Seo, Takahiko Kusakabe, Yasuo Asakura
Pág. 6 - 17
A fundamental diagram (FD), also known as flow?density relation, is one of the most important principles in traffic flow theory. It would be valuable if an FD could be calibrated by using GPS-equipped probe vehicles; since they can continuously collect d...
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Jinhyun Hong
Compact development is often recommended to reduce auto-dependency thereby decreasing related energy consumptions and transportation emissions. However, there could be a non-linear relationship between density and transportation emissions because of a po...
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Johan Scholliers, Mirjami Jutila, Mikko Valta, Kimmo Kauvo, ... Pasi Pyykönen
Pág. 4542 - 4551
Through communication between vehicles and infrastructure, vehicles can receive real-time warnings on incidents and dangerous situations, and can send own sensor data and observed incident information to other road users. Information between vehicles and...
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Thangakumar Jeyaprakash,Rajeswari Mukesh
Pág. 86 - 93
Vehicular Ad-hoc Network (VANET), a subset of Mobile Ad-hoc networks (MANETs), is one of the emerging technologies of Road Transportation system. In recent years, the aspect of Vehicular Ad-hoc Network (VANET) is becoming an interesting research area as ...
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Donggyun Kim, Byungjin Lee and Sangkyung Sung
This paper explores the research topic of enhancing the reliability of unmanned mobile exploration using LiDAR SLAM. Specifically, it proposes a technique to analyze waypoints where 3D LiDAR SLAM can be smoothly performed in potential exploration areas a...
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José Azinheira, Reginaldo Carvalho, Ely Paiva and Rafael Cordeiro
This paper proposes a new kind of airship actuator configuration for surveillance and environmental monitoring missions. We present the design and application of a six-propeller electrical airship (Noamini) with independent tilting propellers, allowing i...
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Donggyun Kim, Byungjin Lee and Sangkyung Sung
This paper presents an efficient method for securing navigation performance by suppressing divergence risk of LiDAR SLAM through a newly proposed geometric observability analysis in a three-dimensional point cloud map. For this, observability characteris...
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