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Jia-Shing Sheu, Chun-Kang Tsai, Po-Tong Wang
Pág. 137 - 145
In this study, a simple technology for a self-driving system called ?driver assistance system? is developed based on embedded image identification. The system consists of a camera, a Raspberry Pi board, and OpenCV. The camera is used to capture lane imag...
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Jia-Shing Sheu, Chun-Kang Tsai, Po-Tong Wang
Pág. 137 - 145
In this study, a simple technology for a self-driving system called ?driver assistance system? is developed based on embedded image identification. The system consists of a camera, a Raspberry Pi board, and OpenCV. The camera is used to capture lane imag...
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Nyothiri Aung, Weidong Zhang, Sahraoui Dhelim and Yibo Ai
With the emergence of autonomous vehicles and internet of vehicles (IoV), future roads of smart cities will have a combination of autonomous and automated vehicles with regular vehicles that require human operators. To ensure the safety of the road commu...
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Peilun Ju and Jiacheng Song
To maintain a safe distance between the autonomous vehicle and the leader, ensure that the vehicle runs at its expected speed as far as possible, and achieve various control requirements such as speed, distance and collision avoidance, a model-free presc...
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Felipe Jiménez, José Eugenio Naranjo, José Javier Anaya, Fernando García, ... José María Armingol
Pág. 2245 - 2254
The advances in Information Technologies have led to more complex road safety applications. These systems provide multiple possibilities for improving road transport. The integrated system that this paper presents deals with two aspects that have been id...
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Juan Li, Qinglian He, Hang Zhou, Yunlin Guan and Wei Dai
Intersections are one of the major locations where safety is a big concern to drivers. Inappropriate driver behaviors in response to frequent changes when approaching intersections often lead to intersection-related crashes or collisions. Thus to better ...
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Sota Aoki, Yohei Fujinami, Pongsathorn Raksincharoensak and Roman Henze
This paper describes the development of an Advanced Driver Assistance System (ADAS) which will allow drivers to avoid collisions with an oncoming vehicle from an occluded area when turning right at intersections in left-hand traffic. Connected vehicles, ...
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Nadja Schömig, Katharina Wiedemann, André Wiggerich and Alexandra Neukum
Vehicles equipped with so-called partially automated driving functions are becoming more and more common nowadays. The special feature of this automation level is that the driver is relieved of the execution of the lateral and longitudinal driving task, ...
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F. Visintainer, L. Altomare, A. Toffetti, A. Kovacs, A. Amditis
Pág. 2237 - 2244
Vehicle-to-vehicle and vehicle-to-infrastructure communication (also known as V2X) can augment vehicle perception, which is a key factor in Advanced Driving Assistance Systems (ADAS) as well as in the future scenario of Automated Driving. The European pr...
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Hussein Ali Ameen, Abd Kadir Mahamad, Sharifah Saon, Rami Qays Malik, Zahraa Hashim Kareem, Mohd Anuaruddin Bin Ahmadon and Shingo Yamaguchi
Driver behavior is a determining factor in more than 90% of road accidents. Previous research regarding the relationship between speeding behavior and crashes suggests that drivers who engage in frequent and extreme speeding behavior are overinvolved in ...
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Bong-Ju Kim and Seon-Bong Lee
Traffic accidents continue to increase in Korea as traffic increases, and the resulting loss of life is also on the rise. According to data surveyed by the South Korean National Police Agency, 45,921 pedestrian traffic accidents were reported in 2019, re...
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Varvara Lazutkina,Oleg Pokusaev,Vasily Kupriyanovsky,Sergey Sinyagov
Pág. 66 - 80
The article discusses the economic effects of the introduction of autonomous (unmanned) cars. Firstly, the work deals with the organization of the movement of unmanned vehicles in columns automatically formed on the road (the English term is platooning)....
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Kolk Harald, Kirschbichler Stefan, Tomasch Ernst, Hoschopf Heinz, ... Sinz Wolfgang
Pág. 3877 - 3885
SEV (small electric vehicle) is one of the future solutions for urban mobility, since these cars show a small environmental footprint due to their lightweight design for optimizing the range. Due to the low number of SEVs in real accidents it is difficul...
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Sophie Billicsich, Ernst Tomasch, Arno Eichberger, Gerald Markovic, Zoltan Magosi
Pág. 2129 - 2137
The possibility to implement Advanced Driving Assistance Systems (ADAS) into motorcycle, referred to ARAS (Advanced Rider Assistance Systems), compared to passenger cars might be more difficult. On behalf of ARAS, the On-Bike Information Systems (OBIS) r...
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Kefei Zhu, Xu Yang, Yanbo Zhang, Mengkun Liang and Jun Wu
With the rising popularity of the Advanced Driver Assistance System (ADAS), there is an increasing demand for more human-like car-following performance. In this paper, we consider the role of heterogeneity in car-following behavior within car-following m...
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Yufeng Li, Mengxiao Liu, Chenhong Cao and Jiangtao Li
Advanced Driver Assistance Systems (ADASs) are crucial components of intelligent vehicles, equipped with a vast code base. To enhance the security of ADASs, it is essential to mine their vulnerabilities and corresponding exploitation methods. However, mi...
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Zoltán Fazekas, László Gerencsér and Péter Gáspár
A road environment-type (RET) detection function could improve the road awareness of inexperienced car drivers, especially in urban areas, and by doing so, it could slightly raise the urban traffic safety. A pragmatic implementation could make use of sta...
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Yannick Forster, Sebastian Hergeth, Frederik Naujoks, Josef Krems and Andreas Keinath
Automated driving systems (ADS) and a combination of these with advanced driver assistance systems (ADAS) will soon be available to a large consumer population. Apart from testing automated driving features and human?machine interfaces (HMI), the develop...
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Caterina Calefato, Chiara Ferrarini, Elisa Landini, Matti Kutila, Eva García Quinteiro
Pág. 2265 - 2273
The paper focuses on the innovative strength that the DESERVE platform has brought on the Advanced Driver Assistance Systems (ADAS) market in terms of major safety and economic affordability. DESERVE is a project aimed at designing and implementing a low...
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Shiplu Das, Sanjoy Pratihar, Buddhadeb Pradhan, Rutvij H. Jhaveri and Francesco Benedetto
The main purpose of a detection system is to ascertain the state of an individual?s eyes, whether they are open and alert or closed, and then alert them to their level of fatigue. As a result of this, they will refrain from approaching an accident site. ...
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