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Daniela Cardone, David Perpetuini, Chiara Filippini, Edoardo Spadolini, Lorenza Mancini, Antonio Maria Chiarelli and Arcangelo Merla
A procedure for a driver?s stress state monitoring was provided by means of thermal infrared imaging. It was validated on ECG-derived parameters through the application of supervised machine learning techniques.
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Michal Machura, Michal Danilowicz and Tomasz Kryjak
Object detection is an essential component of many systems used, for example, in advanced driver assistance systems (ADAS) or advanced video surveillance systems (AVSS). Currently, the highest detection accuracy is achieved by solutions using deep convol...
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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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Pablo J. Mavares F.
In recent decades, advanced driver-assistance systems (ADAS) have evolved to be available in much of the vehicles manufactured today; it is very important to keep teaching in this area up-to-date. This paper presents a frequency modulated continuous wave...
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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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Rafael Toledo-Moreo, Carlos Colodro-Conde and Javier Toledo-Moreo
Continuous accurate positioning is a key element for the deployment of many advanced driver assistance systems (ADAS) and autonomous vehicle navigation. To achieve the necessary performance, global navigation satellite systems (GNSS) must be combined wit...
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Roman Putter, Andre Neubohn, Andre Leschke and Roland Lachmayer
Traffic accident avoidance and mitigation are the main targets of accident research and vehicle safety development worldwide. Despite improving advanced driver assistance systems (ADAS) and active safety systems, it will not be possible to avoid all vehi...
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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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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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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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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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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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Boyu Liu, Hao Wang, Yongqiang Wang, Congling Zhou and Lei Cai
The recognition of lane line type plays an important role in the perception of advanced driver assistance systems (ADAS). In actual vehicle driving on roads, there are a variety of lane line type and complex road conditions which present significant chal...
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Wilson Pérez, Punit Tulpule, Shawn Midlam-Mohler and Giorgio Rizzoni
Advanced energy management strategies (EMS) are used to control the power flow through a vehicle?s powertrain. However, the cost of high-power computational hardware and lack of a priori knowledge of future road conditions poses difficult challenges for ...
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Erfan Aria, Johan Olstam, Christoph Schwietering
Pág. 761 - 770
Advanced Driver Assistance Systems (ADAS) offer the possibility of helping drivers to fulfill their driving tasks. Automated vehicles (AV) are capable of communicating with surrounding vehicles (V2V) and infrastructure (V2I) in order to collect and provi...
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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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